TY - JOUR A1 - Agarwal, Ankit A1 - Guntu, Ravikumar A1 - Banerjee, Abhirup A1 - Gadhawe, Mayuri Ashokrao A1 - Marwan, Norbert T1 - A complex network approach to study the extreme precipitation patterns in a river basin JF - Chaos : an interdisciplinary journal of nonlinear science N2 - The quantification of spatial propagation of extreme precipitation events is vital in water resources planning and disaster mitigation. However, quantifying these extreme events has always been challenging as many traditional methods are insufficient to capture the nonlinear interrelationships between extreme event time series. Therefore, it is crucial to develop suitable methods for analyzing the dynamics of extreme events over a river basin with a diverse climate and complicated topography. Over the last decade, complex network analysis emerged as a powerful tool to study the intricate spatiotemporal relationship between many variables in a compact way. In this study, we employ two nonlinear concepts of event synchronization and edit distance to investigate the extreme precipitation pattern in the Ganga river basin. We use the network degree to understand the spatial synchronization pattern of extreme rainfall and identify essential sites in the river basin with respect to potential prediction skills. The study also attempts to quantify the influence of precipitation seasonality and topography on extreme events. The findings of the study reveal that (1) the network degree is decreased in the southwest to northwest direction, (2) the timing of 50th percentile precipitation within a year influences the spatial distribution of degree, (3) the timing is inversely related to elevation, and (4) the lower elevation greatly influences connectivity of the sites. The study highlights that edit distance could be a promising alternative to analyze event-like data by incorporating event time and amplitude and constructing complex networks of climate extremes. Y1 - 2022 U6 - https://doi.org/10.1063/5.0072520 SN - 1054-1500 SN - 1089-7682 VL - 32 IS - 1 PB - American Institute of Physics CY - Woodbury, NY ER - TY - JOUR A1 - Aichner, Bernhard A1 - Ott, Florian A1 - Slowinski, Michal A1 - Norygkiewicz, Agnieszka M. A1 - Brauer, Achim A1 - Sachse, Dirk T1 - Leaf wax n-alkane distributions record ecological changes during the Younger Dryas at Trzechowskie paleolake (northern Poland) without temporal delay JF - Climate of the past : an interactive open access journal of the European Geosciences Union N2 - While of higher plant origin, a specific source assignment of sedimentary leaf wax n-alkanes remains difficult. In addition, it is unknown how fast a changing catchment vegetation would be reflected in sedimentary leaf wax archives. In particular, for a quantitative interpretation of n-alkane C and H isotope ratios in terms of paleohydrological and paleoecological changes, a better understanding of transfer times and dominant sedimentary sources of leaf wax n-alkanes is required. In this study we tested to what extent compositional changes in leaf wax n-alkanes can be linked to known vegetation changes by comparison with high-resolution palynological data from the same archive. We analyzed leaf wax n-alkane concentrations and distributions in decadal resolution from a sedimentary record from Trzechowskie paleolake (TRZ, northern Poland), covering the Late Glacial to early Holocene (13 360-9940 yr BP). As an additional source indicator of targeted n-alkanes, compound-specific carbon isotopic data have been generated in lower time resolution. The results indicated rapid responses of n-alkane distribution patterns coinciding with major climatic and paleoecological transitions. We found a shift towards higher average chain length (ACL) values at the Allerod-Younger Dryas (YD) transition between 12 680 and 12 600 yr BP, co-evaled with a decreasing contribution of arboreal pollen (mainly Pinus and Betula) and a subsequently higher abundance of pollen derived from herbaceous plants (Poaceae, Cyperaceae, Artemisia), shrubs, and dwarf shrubs (Juniperus and Salix). The termination of the YD was characterized by a successive increase in n-alkane concentrations coinciding with a sharp decrease in ACL values between 11 580 and 11 490 yr BP, reflecting the expansion of woodland vegetation at the YD-Holocene transition. A gradual reversal to longer chain lengths after 11 200 yr BP, together with decreasing n-alkane concentrations, most likely reflects the early Holocene vegetation succession with a decline of Betula. These results show that n-alkane distributions reflect vegetation changes and that a fast (i.e., subdecadal) signal transfer occurred. However, our data also indicate that a standard interpretation of directional changes in biomarker ratios remains difficult. Instead, responses such as changes in ACL need to be discussed in the context of other proxy data. In addition, we find that organic geochemical data integrate different ecological information compared to pollen, since some gymnosperm genera, such as Pinus, produce only a very low amount of n-alkanes and for this reason their contribution may be largely absent from biomarker records. Our results demonstrate that a combination of palynological and n-alkane data can be used to infer the major sedimentary leaf wax sources and constrain leaf wax transport times from the plant source to the sedimentary sink and thus pave the way towards quantitative interpretation of compound-specific hydrogen isotope ratios for paleohydrological reconstructions. Y1 - 2018 U6 - https://doi.org/10.5194/cp-14-1607-2018 SN - 1814-9324 SN - 1814-9332 VL - 14 IS - 11 SP - 1607 EP - 1624 PB - Copernicus CY - Göttingen ER - TY - JOUR A1 - Akpniar, Seda A1 - Maas, Desiree A1 - Rooth, Anneke T1 - Deepening Understanding JF - Potsdamer geographische Praxis N2 - 1. Background information 2. Explanations during the lessons 3. Deepening under standing in some assignments 4. Conclusion KW - Europäische Werteerziehung KW - Familie KW - Lehrevaluation KW - Studierendenaustausch KW - Unterrichtseinheiten KW - Curriculum Framework KW - European values education KW - Family KW - lesson evaluation KW - student exchange KW - teaching units KW - curriculum framework Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-65859 SN - 2194-1599 SN - 2194-1602 IS - 1 SP - 81 EP - 85 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Akçay, Pinar A1 - Düşer, Ece A1 - Nozon, Hannes A1 - Strehmel, Christian T1 - Deepening understanding JF - Potsdamer geographische Praxis N2 - 1. Introduction 2. What is deepening understanding and why do we need it? 3. Which concepts were offered to explainthe differences between countries? 4. Maps 5. Summary of the appreciation andperception of the student teachers 6. Summary of the appreciation and perception of the pupils KW - Europäische Werteerziehung KW - Familie KW - Lehrevaluation KW - Studierendenaustausch KW - Unterrichtseinheiten KW - Curriculum Framework KW - European values education KW - Family KW - lesson evaluation KW - student exchange KW - teaching units KW - curriculum framework Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-65957 SN - 2194-1599 SN - 2194-1602 IS - 3 SP - 53 EP - 59 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - BOOK A1 - Alexeev, Alexandr Ivanovich A1 - Savoskul, Maria Sergeevna A1 - Simagin, Yuriy Alexeevich A1 - Shabalina, Natalia Vladimirovna A1 - Porosenkov, Yuriy Vasilevich A1 - Didenko, Olga Valerievna A1 - Krupko, Anatoliy Emanuilovich A1 - Rudzkiy, Viktor Valentinovich A1 - Prazdnikova, Nadezda Nikolaevna A1 - Lyssenkova, Soya Valerianovna A1 - Matei, Constantin Gheorghe A1 - Hachi, Mihai Gheorghe A1 - Sainsus, Valerii Anton ED - Heller, Wilfried ED - Felgentreff, Carsten ED - Lindner, Waltraud T1 - The socio-economic transformation of rural areas in Russia and Moldava T3 - Praxis Kultur- und Sozialgeographie | PKS - 28 Y1 - 2003 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-53092 SN - 978-3-935024-79-2 SN - 0934-716X PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Altuntaş, Kezban A1 - Akçay, Pinar A1 - Kools, Suzanne A1 - Schnabel, Richard T1 - Assignments, curriculum framework and background information as the base of developing lessons JF - Potsdamer geographische Praxis N2 - 1. What are the general strengths of the assignments? 2. Structure of the assignment 3. Resources of the assignment 4. Fostering self-expression 5. How could you improve the assignment? 6. Lack of specific examples 7. Not relating the issue to the students 8. Language Problems 9. Infeasibility to adaptation 10. In what ways was the additional information useful ? How could this be improved? 11. Was the framework useful for you and in what way? 12. In what ways did the assignments reflect the steps identified in the framework? KW - Europäische Werteerziehung KW - Familie KW - Lehrevaluation KW - Studierendenaustausch KW - Unterrichtseinheiten KW - Curriculum Framework KW - European values education KW - Family KW - lesson evaluation KW - student exchange KW - teaching units KW - curriculum framework Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-65877 SN - 2194-1599 SN - 2194-1602 IS - 1 SP - 93 EP - 98 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Amour, Frederic A1 - Mutti, Maria A1 - Christ, Nicolas A1 - Immenhauser, Adrian A1 - Agar, Susan M. A1 - Benson, Gregory S. A1 - Tomas, Sara A1 - Alway, Robert A1 - Kabiri, Lachen T1 - Capturing and modelling metre-scale spatial facies heterogeneity in a Jurassic ramp setting (Central High Atlas, Morocco) JF - Sedimentology : the journal of the International Association of Sedimentologists N2 - Each simulation algorithm, including Truncated Gaussian Simulation, Sequential Indicator Simulation and Indicator Kriging is characterized by different operating modes, which variably influence the facies proportion, distribution and association of digital outcrop models, as shown in clastic sediments. A detailed study of carbonate heterogeneity is then crucial to understanding these differences and providing rules for carbonate modelling. Through a continuous exposure of Bajocian carbonate strata, a study window (320 m long, 190 m wide and 30 m thick) was investigated and metre-scale lithofacies heterogeneity was captured and modelled using closely-spaced sections. Ten lithofacies, deposited in a shallow-water carbonate-dominated ramp, were recognized and their dimensions and associations were documented. Field data, including height sections, were georeferenced and input into the model. Four models were built in the present study. Model A used all sections and Truncated Gaussian Simulation during the stochastic simulation. For the three other models, Model B was generated using Truncated Gaussian Simulation as for Model A, Model C was generated using Sequential Indicator Simulation and Model D was generated using Indicator Kriging. These three additional models were built by removing two out of eight sections from data input. The removal of sections allows direct insights on geological uncertainties at inter-well spacings by comparing modelled and described sections. Other quantitative and qualitative comparisons were carried out between models to understand the advantages/disadvantages of each algorithm. Model A is used as the base case. Indicator Kriging (Model D) simplifies the facies distribution by assigning continuous geological bodies of the most abundant lithofacies to each zone. Sequential Indicator Simulation (Model C) is confident to conserve facies proportion when geological heterogeneity is complex. The use of trend with Truncated Gaussian Simulation is a powerful tool for modelling well-defined spatial facies relationships. However, in shallow-water carbonate, facies can coexist and their association can change through time and space. The present study shows that the scale of modelling (depositional environment or lithofacies) involves specific simulation constraints on shallow-water carbonate modelling methods. KW - 3D facies modelling KW - carbonate ramp KW - facies heterogeneity KW - Jurassic KW - modelling algorithms KW - scale Y1 - 2012 U6 - https://doi.org/10.1111/j.1365-3091.2011.01299.x SN - 0037-0746 VL - 59 IS - 4 SP - 1158 EP - 1189 PB - Wiley-Blackwell CY - Malden ER - TY - JOUR A1 - Arguello de Souza, Felipe Augusto A1 - Samprogna Mohor, Guilherme A1 - Guzman Arias, Diego Alejandro A1 - Sarmento Buarque, Ana Carolina A1 - Taffarello, Denise A1 - Mendiondo, Eduardo Mario T1 - Droughts in São Paulo BT - challenges and lessons for a water-adaptive society JF - Urban water journal N2 - Literature has suggested that droughts and societies are mutually shaped and, therefore, both require a better understanding of their coevolution on risk reduction and water adaptation. Although the Sao Paulo Metropolitan Region drew attention because of the 2013-2015 drought, this was not the first event. This paper revisits this event and the 1985-1986 drought to compare the evolution of drought risk management aspects. Documents and hydrological records are analyzed to evaluate the hazard intensity, preparedness, exposure, vulnerability, responses, and mitigation aspects of both events. Although the hazard intensity and exposure of the latter event were larger than the former one, the policy implementation delay and the dependency of service areas in a single reservoir exposed the region to higher vulnerability. In addition to the structural and non-structural tools implemented just after the events, this work raises the possibility of rainwater reuse for reducing the stress in reservoirs. KW - droughts KW - urban water supply KW - water crisis KW - drought risk KW - paired event KW - analysis KW - vulnerability Y1 - 2022 U6 - https://doi.org/10.1080/1573062X.2022.2047735 SN - 1573-062X SN - 1744-9006 VL - 20 IS - 10 SP - 1682 EP - 1694 PB - Taylor & Francis CY - London [u.a.] ER - TY - THES A1 - Arodudu, Oludunsin Tunrayo T1 - Sustainability assessment of agro-bioenergy systems using energy efficiency indicators BT - energy efficiency assessment of agro-bioenergy systems N2 - The sustainability of agro-bioenergy systems is dependent on many factors, some local or regional in implementation, some others global in nature. This study assessed the effects of often ignored local and regional factors (e.g. alternative agronomic factor options, alternative agricultural production systems, alternative biomass flows, alternative conversion technologies etc. The results from this study suggests that key to enhancing the energy efficiency (and by extension the sustainability) of agro-bioenergy systems is paying attention to local and regional factors such as biomass conversion technology, alternative agronomic factor options, alternative agricultural production systems and available biomass flows. KW - biomass KW - bioenergy KW - energy efficiency KW - sustainability KW - local and regional factors KW - agronomic factors KW - agricultural production systems KW - biomass flows Y1 - 2017 ER - TY - JOUR A1 - Asche, Hartmut T1 - Mapping and map use in the age of information technology Y1 - 1998 ER - TY - JOUR A1 - Asche, Hartmut A1 - Hermann, Christian T1 - Thematic cartography Y1 - 2001 SN - 0-7506-4996-8 ER - TY - JOUR A1 - Athare, Tushar Ramchandra A1 - Pradhan, Prajal A1 - Kropp, Jürgen T1 - Environmental implications and socioeconomic characterisation of Indian diets JF - The science of the total environment N2 - India is facing a double burden of malnourishment with co-existences of under- and over-nourishment. Various socioeconomic factors play an essential role in determining dietary choices. Agriculture is one of the major emitters of greenhouse gases (GHGs) in India, contributing 18% of total emissions. It also consumes freshwater and uses land significantly. We identify eleven Indian diets by applying k-means cluster analysis on latest data from the Indian household consumer expenditure survey. The diets vary in calorie intake [2289-3218 kcal/Consumer Unit (CU)/day] and dietary composition. Estimated embodied GHG emissions in the diets range from 1.36 to 3.62 kg CO2eq./CU/day, land footprint from 4 to 5.45 m(2)/CU/day, whereas water footprint varies from 2.13 to 2.97m(3)/CU/day. Indian diets deviate from a healthy reference diet either with too much or too little consumption of certain food groups. Overall, cereals, sugar, and dairy products intake are higher. In contrast, the consumption of fruits and vegetables, pulses, and nuts is lower than recommended. Our study contributes to deriving required polices for the sustainable transformation of food systems in India to eliminate malnourishment and to reduce the environmental implications of the food systems. (c) 2020 Elsevier B.V. All rights reserved. KW - Indian diets KW - GHG emissions KW - land and water footprint KW - healthy diets KW - socioeconomic factors Y1 - 2020 U6 - https://doi.org/10.1016/j.scitotenv.2020.139881 SN - 0048-9697 SN - 1879-1026 VL - 737 PB - Elsevier Science CY - Amsterdam [u.a.] ER - TY - JOUR A1 - Athare, Tushar Ramchandra A1 - Pradhan, Prajal A1 - Singh, S. R. K. A1 - Kropp, Jürgen T1 - India consists of multiple food systems with scoioeconomic and environmental variations JF - PLOS ONE / Public Library of Science N2 - Agriculture in India accounts for 18% of greenhouse gas (GHG) emissions and uses significant land and water. Various socioeconomic factors and food subsidies influence diets in India. Indian food systems face the challenge of sustainably nourishing the 1.3 billion population. However, existing studies focus on a few food system components, and holistic analysis is still missing. We identify Indian food systems covering six food system components: food consumption, production, processing, policy, environmental footprints, and socioeconomic factors from the latest Indian household consumer expenditure survey. We identify 10 Indian food systems using k-means cluster analysis on 15 food system indicators belonging to the six components. Based on the major source of calorie intake, we classify the ten food systems into production-based (3), subsidy-based (3), and market-based (4) food systems. Home-produced and subsidized food contribute up to 2000 kcal/consumer unit (CU)/day and 1651 kcal/CU/day, respectively, in these food systems. The calorie intake of 2158 to 3530 kcal/CU/day in the food systems reveals issues of malnutrition in India. Environmental footprints are commensurate with calorie intake in the food systems. Embodied GHG, land footprint, and water footprint estimates range from 1.30 to 2.19 kg CO(2)eq/CU/day, 3.89 to 6.04 m(2)/CU/day, and 2.02 to 3.16 m(3)/CU/day, respectively. Our study provides a holistic understanding of Indian food systems for targeted nutritional interventions on household malnutrition in India while also protecting planetary health. Y1 - 2022 U6 - https://doi.org/10.1371/journal.pone.0270342 SN - 1932-6203 VL - 17 IS - 8 PB - PLoS CY - San Fransisco ER - TY - JOUR A1 - Avrami, Lydia A1 - Sprinz, Detlef F. T1 - Measuring and explaining the EU’s effect on national climate performance JF - Environmental Politics N2 - To what extent has the European Union (EU) had a benign or retarding effect on what its member states would have undertaken in the absence of EU climate policies during 2008–2012? A measurement tool for the EU policy’s effect is developed and shows a benign average EU effect with considerable variation across countries. The EU’s policy effectiveness vis-à-vis its member states is explained by the EU’s non-compliance mechanism, the degree of usage of the Kyoto flexible mechanisms, and national pre-Kyoto emission reduction goals. Time-series cross-sectional analyses show that the EU’s non-compliance mechanism has no effect, while the ex-ante plans for using Kyoto flexible mechanisms and/or the ambitious pre-Kyoto emission reduction targets allow member states to escape constraints imposed by EU climate policy. KW - Climate change KW - policy effectiveness KW - EU KW - kyoto protocol KW - non-compliance KW - Kyoto (flexible) mechanisms Y1 - 2018 U6 - https://doi.org/10.1080/09644016.2018.1494945 SN - 0964-4016 SN - 1743-8934 VL - 28 IS - 5 SP - 822 EP - 846 PB - Routledge, Taylor & Francis Group CY - Abingdon ER - TY - THES A1 - Ayzel, Georgy T1 - Advancing radar-based precipitation nowcasting T1 - Fortschritte bei der radarbasierten Niederschlagsvorhersage BT - an open benchmark and the potential of deep learning BT - ein offener Benchmark und das Potenzial von Deep Learning N2 - Precipitation forecasting has an important place in everyday life – during the day we may have tens of small talks discussing the likelihood that it will rain this evening or weekend. Should you take an umbrella for a walk? Or should you invite your friends for a barbecue? It will certainly depend on what your weather application shows. While for years people were guided by the precipitation forecasts issued for a particular region or city several times a day, the widespread availability of weather radars allowed us to obtain forecasts at much higher spatiotemporal resolution of minutes in time and hundreds of meters in space. Hence, radar-based precipitation nowcasting, that is, very-short-range forecasting (typically up to 1–3 h), has become an essential technique, also in various professional application contexts, e.g., early warning, sewage control, or agriculture. There are two major components comprising a system for precipitation nowcasting: radar-based precipitation estimates, and models to extrapolate that precipitation to the imminent future. While acknowledging the fundamental importance of radar-based precipitation retrieval for precipitation nowcasts, this thesis focuses only on the model development: the establishment of open and competitive benchmark models, the investigation of the potential of deep learning, and the development of procedures for nowcast errors diagnosis and isolation that can guide model development. The present landscape of computational models for precipitation nowcasting still struggles with the availability of open software implementations that could serve as benchmarks for measuring progress. Focusing on this gap, we have developed and extensively benchmarked a stack of models based on different optical flow algorithms for the tracking step and a set of parsimonious extrapolation procedures based on image warping and advection. We demonstrate that these models provide skillful predictions comparable with or even superior to state-of-the-art operational software. We distribute the corresponding set of models as a software library, rainymotion, which is written in the Python programming language and openly available at GitHub (https://github.com/hydrogo/rainymotion). That way, the library acts as a tool for providing fast, open, and transparent solutions that could serve as a benchmark for further model development and hypothesis testing. One of the promising directions for model development is to challenge the potential of deep learning – a subfield of machine learning that refers to artificial neural networks with deep architectures, which may consist of many computational layers. Deep learning showed promising results in many fields of computer science, such as image and speech recognition, or natural language processing, where it started to dramatically outperform reference methods. The high benefit of using "big data" for training is among the main reasons for that. Hence, the emerging interest in deep learning in atmospheric sciences is also caused and concerted with the increasing availability of data – both observational and model-based. The large archives of weather radar data provide a solid basis for investigation of deep learning potential in precipitation nowcasting: one year of national 5-min composites for Germany comprises around 85 billion data points. To this aim, we present RainNet, a deep convolutional neural network for radar-based precipitation nowcasting. RainNet was trained to predict continuous precipitation intensities at a lead time of 5 min, using several years of quality-controlled weather radar composites provided by the German Weather Service (DWD). That data set covers Germany with a spatial domain of 900 km x 900 km and has a resolution of 1 km in space and 5 min in time. Independent verification experiments were carried out on 11 summer precipitation events from 2016 to 2017. In these experiments, RainNet was applied recursively in order to achieve lead times of up to 1 h. In the verification experiments, trivial Eulerian persistence and a conventional model based on optical flow served as benchmarks. The latter is available in the previously developed rainymotion library. RainNet significantly outperformed the benchmark models at all lead times up to 60 min for the routine verification metrics mean absolute error (MAE) and critical success index (CSI) at intensity thresholds of 0.125, 1, and 5 mm/h. However, rainymotion turned out to be superior in predicting the exceedance of higher intensity thresholds (here 10 and 15 mm/h). The limited ability of RainNet to predict high rainfall intensities is an undesirable property which we attribute to a high level of spatial smoothing introduced by the model. At a lead time of 5 min, an analysis of power spectral density confirmed a significant loss of spectral power at length scales of 16 km and below. Obviously, RainNet had learned an optimal level of smoothing to produce a nowcast at 5 min lead time. In that sense, the loss of spectral power at small scales is informative, too, as it reflects the limits of predictability as a function of spatial scale. Beyond the lead time of 5 min, however, the increasing level of smoothing is a mere artifact – an analogue to numerical diffusion – that is not a property of RainNet itself but of its recursive application. In the context of early warning, the smoothing is particularly unfavorable since pronounced features of intense precipitation tend to get lost over longer lead times. Hence, we propose several options to address this issue in prospective research on model development for precipitation nowcasting, including an adjustment of the loss function for model training, model training for longer lead times, and the prediction of threshold exceedance. The model development together with the verification experiments for both conventional and deep learning model predictions also revealed the need to better understand the source of forecast errors. Understanding the dominant sources of error in specific situations should help in guiding further model improvement. The total error of a precipitation nowcast consists of an error in the predicted location of a precipitation feature and an error in the change of precipitation intensity over lead time. So far, verification measures did not allow to isolate the location error, making it difficult to specifically improve nowcast models with regard to location prediction. To fill this gap, we introduced a framework to directly quantify the location error. To that end, we detect and track scale-invariant precipitation features (corners) in radar images. We then consider these observed tracks as the true reference in order to evaluate the performance (or, inversely, the error) of any model that aims to predict the future location of a precipitation feature. Hence, the location error of a forecast at any lead time ahead of the forecast time corresponds to the Euclidean distance between the observed and the predicted feature location at the corresponding lead time. Based on this framework, we carried out a benchmarking case study using one year worth of weather radar composites of the DWD. We evaluated the performance of four extrapolation models, two of which are based on the linear extrapolation of corner motion; and the remaining two are based on the Dense Inverse Search (DIS) method: motion vectors obtained from DIS are used to predict feature locations by linear and Semi-Lagrangian extrapolation. For all competing models, the mean location error exceeds a distance of 5 km after 60 min, and 10 km after 110 min. At least 25% of all forecasts exceed an error of 5 km after 50 min, and of 10 km after 90 min. Even for the best models in our experiment, at least 5 percent of the forecasts will have a location error of more than 10 km after 45 min. When we relate such errors to application scenarios that are typically suggested for precipitation nowcasting, e.g., early warning, it becomes obvious that location errors matter: the order of magnitude of these errors is about the same as the typical extent of a convective cell. Hence, the uncertainty of precipitation nowcasts at such length scales – just as a result of locational errors – can be substantial already at lead times of less than 1 h. Being able to quantify the location error should hence guide any model development that is targeted towards its minimization. To that aim, we also consider the high potential of using deep learning architectures specific to the assimilation of sequential (track) data. Last but not least, the thesis demonstrates the benefits of a general movement towards open science for model development in the field of precipitation nowcasting. All the presented models and frameworks are distributed as open repositories, thus enhancing transparency and reproducibility of the methodological approach. Furthermore, they are readily available to be used for further research studies, as well as for practical applications. N2 - Niederschlagsvorhersagen haben einen wichtigen Platz in unserem täglichen Leben. Und die breite Abdeckung mit Niederschlagsradaren ermöglicht es uns, den Niederschlag mit einer viel höheren räumlich-zeitlichen Auflösung vorherzusagen (Minuten in der Zeit, Hunderte von Metern im Raum). Solche radargestützten Niederschlagsvorhersagen mit sehr kurzem Vorhersagehorizont (1–3 Stunden) nennt man auch "Niederschlagsnowcasting." Sie sind in verschiedenen Anwendungsbereichen (z.B. in der Frühwarnung, der Stadtentwässerung sowie in der Landwirtschaft) zu einer wichtigen Technologie geworden. Eine erhebliche Schwierigkeit in Modellentwicklung zum Niederschlagsnowcastings ist jedoch die Verfügbarkeit offener Softwarewerkzeuge und Implementierungen, die als Benchmark für den Entwicklungsfortschritt auf diesem Gebiet dienen können. Um diese Lücke zu schließen, haben wir eine Gruppe von Modellen auf der Grundlage verschiedener Tracking- und Extrapolationsverfahren entwickelt und systematisch verglichen. Es konnte gezeigt werden, dass die Vorhersagen dieser einen Skill haben, der sich mit dem Skill operationeller Vorhersagesysteme messen kann, teils sogar überlegen sind. Diese Benchmark-Modelle sind nun in Form der quelloffenen Software-Bibliothek rainymotion allgemein verfügbar (https://github.com/hydrogo/rainymotion). Eine der vielversprechenden Perspektiven für die weitere Modellentwicklung besteht in der Untersuchung des Potenzials von "Deep Learning" – einem Teilgebiet des maschinellen Lernens, das sich auf künstliche neuronale Netze mit sog. "tiefen Architekturen" bezieht, die aus einer Vielzahl von Schichten (computational layers) bestehen können. Im Rahmen dieser Arbeit wurde daher RainNet entwickelt: ein Tiefes Neuronales Netz für radargestütztes Niederschlags-Nowcasting. RainNet wurde zunächst zur Vorhersage der Niederschlagsintensität mit einem Vorhersagehorizont von fünf Minuten trainiert. Als Datengrundlage dazu dienten mehrere Jahre qualitätskontrollierter Radarkompositprodukte des Deutschen Wetterdienstes (DWD). RainNet übertraf die verfügbaren Benchmark-Modelle für Vorhersagezeiten bis zu 60 min in Bezug auf den Mittleren Absoluten Fehler (MAE) und den Critical Success Index (CSI) für Intensitätsschwellenwerte von 0.125, 1 und 5 mm/h. Allerdings erwies sich das das Benchmark-Modell aus dem Softwarepaket rainymotion bei der Vorhersage der Überschreitung höherer Intensitätsschwellen (10 und 15 mm/h) als überlegen. Die eingeschränkte Fähigkeit von RainNet zur Vorhersage hoher Niederschlagsintensitäten ist eine unerwünschte Eigenschaft, die wir auf ein hohes Maß an räumlicher Glättung durch das Modell zurückführen. Im Kontext der Frühwarnung ist die Glättung besonders ungünstig, da ausgeprägte Merkmale von Starkniederschlägen bei längeren Vorlaufzeiten tendenziell verloren gehen. In dieser Arbeit werden daher mehrere Optionen vorgeschlagen, um dieses Problem in der zukünftigen Forschung zur Modellentwicklung anzugehen. Ein weiterer Beitrag dieser Arbeit liegt in der Quantifizierung einer spezifischen Fehlerquelle von Niederschlagsnowcasts. Der Gesamtfehler eines Nowcasts besteht aus einem Fehler in der vorhergesagten Lage eines Niederschlagsfeatures (Ortsfehler) sowie einem Fehler in der Änderung der Intensität eines Features über die Vorhersagezeit (Intensitätsfehler). Herkömmliche Verifikationsmaße waren bislang nicht in der Lage, das Ausmaß des Ortsfehlers zu isolieren. Um diese Lücke zu füllen, haben wir einen Ansatz zur direkten Quantifizierung des Ortsfehlers entwickelt. Mit Hilfe dieses Ansatzes wurde wir Benchmarking-Experiment auf Grundlage eines fünfminütigen DWD Radarkompositprodukts für das komplette Jahr 2016 umgesetzt. In diesem Experiment wurden vier Nowcasting-Modelle aus der rainymotion-Softwarebibliothek verwendet im Hinblick auf den Ortsfehler der Vorhersage verglichen. Die Ergebnisse zeigen, dass für alle konkurrierenden Modelle die Ortsfehler von Bedeutung sind: die Größenordnung dieser Fehler entspricht etwa der typischen Ausdehnung einer konvektiven Zelle oder einer mittelgroßen Stadt (5–10 km). Insgesamt zeigt diese Arbeit die Vorteile eines "Open Science"-Ansatzes für die Modellentwicklung im Bereich der Niederschlagsnowcastings. Alle vorgestellten Modelle und Modellsysteme stehen als offene, gut dokumentierte Repositorien zusammen mit entsprechenden offenen Datensätzen öffentlich zu Verfügung für, was die Transparenz und Reproduzierbarkeit des methodischen Ansatzes, aber auch die Anwendbarkeit in der Praxis erhöht. KW - Weather radar KW - nowcasting KW - optical flow KW - deep learning KW - Wetterradar KW - Deep Learning KW - Nowcasting KW - Optischer Fluss Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-504267 ER - TY - JOUR A1 - Ayzel, Georgy T1 - Deep neural networks in hydrology BT - the new generation of universal and efficient models BT - новое поколение универсальных и эффективных моделей JF - Vestnik of Saint Petersburg University. Earth Sciences N2 - For around a decade, deep learning - the sub-field of machine learning that refers to artificial neural networks comprised of many computational layers - modifies the landscape of statistical model development in many research areas, such as image classification, machine translation, and speech recognition. Geoscientific disciplines in general and the field of hydrology in particular, also do not stand aside from this movement. Recently, the proliferation of modern deep learning-based techniques and methods has been actively gaining popularity for solving a wide range of hydrological problems: modeling and forecasting of river runoff, hydrological model parameters regionalization, assessment of available water resources. identification of the main drivers of the recent change in water balance components. This growing popularity of deep neural networks is primarily due to their high universality and efficiency. The presented qualities, together with the rapidly growing amount of accumulated environmental information, as well as increasing availability of computing facilities and resources, allow us to speak about deep neural networks as a new generation of mathematical models designed to, if not to replace existing solutions, but significantly enrich the field of geophysical processes modeling. This paper provides a brief overview of the current state of the field of development and application of deep neural networks in hydrology. Also in the following study, the qualitative long-term forecast regarding the development of deep learning technology for managing the corresponding hydrological modeling challenges is provided based on the use of "Gartner Hype Curve", which in the general details describes a life cycle of modern technologies. N2 - В течение последнего десятилетия глубокое обучение - область машинного обучения, относящаяся к искусственным нейронным сетям, состоящим из множества вычислительных слоев, - изменяет ландшафт развития статистических моделей во многих областях исследований, таких как классификация изображений, машинный перевод, распознавание речи. Географические науки, а также входящая в их состав область исследования гидрологии суши, не стоят в стороне от этого движения. В последнее время применение современных технологий и методов глубокого обучения активно набирает популярность для решения широкого спектра гидрологических задач: моделирования и прогнозирования речного стока, районирования модельных параметров, оценки располагаемых водных ресурсов, идентификации факторов, влияющих на современные изменения водного режима. Такой рост популярности глубоких нейронных сетей продиктован прежде всего их высокой универсальностью и эффективностью. Представленные качества в совокупности с быстрорастущим количеством накопленной информации о состоянии окружающей среды, а также ростом доступности вычислительных средств и ресурсов, позволяют говорить о глубоких нейронных сетях как о новом поколении математических моделей, призванных если не заменить существующие решения, то значительно обогатить область моделирования геофизических процессов. В данной работе представлен краткий обзор текущего состояния области разработки и применения глубоких нейронных сетей в гидрологии. Также в работе предложен качественный долгосрочный прогноз развития технологии глубокого обучения для решения задач гидрологического моделирования на основе использования «кривой ажиотажа Гартнера», в общих чертах описывающей жизненный цикл современных технологий. T2 - Глубокие нейронные сети в гидрологии KW - deep neural networks KW - deep learning KW - machine learning KW - hydrology KW - modeling KW - глубокие нейронные сети KW - глубокое обучение KW - машинное обучение KW - гидрология KW - моделирование Y1 - 2021 U6 - https://doi.org/10.21638/spbu07.2021.101 SN - 2541-9668 SN - 2587-585X VL - 66 IS - 1 SP - 5 EP - 18 PB - Univ. Press CY - St. Petersburg ER - TY - JOUR A1 - Ayzel, Georgy A1 - Heistermann, Maik T1 - The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU BT - a case study for six basins from the CAMELS dataset JF - Computers & geosciences : an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets ; an official journal of the International Association for Mathematical Geology N2 - We systematically explore the effect of calibration data length on the performance of a conceptual hydrological model, GR4H, in comparison to two Artificial Neural Network (ANN) architectures: Long Short-Term Memory Networks (LSTM) and Gated Recurrent Units (GRU), which have just recently been introduced to the field of hydrology. We implemented a case study for six river basins across the contiguous United States, with 25 years of meteorological and discharge data. Nine years were reserved for independent validation; two years were used as a warm-up period, one year for each of the calibration and validation periods, respectively; from the remaining 14 years, we sampled increasing amounts of data for model calibration, and found pronounced differences in model performance. While GR4H required less data to converge, LSTM and GRU caught up at a remarkable rate, considering their number of parameters. Also, LSTM and GRU exhibited the higher calibration instability in comparison to GR4H. These findings confirm the potential of modern deep-learning architectures in rainfall runoff modelling, but also highlight the noticeable differences between them in regard to the effect of calibration data length. KW - Artificial neural networks KW - Calibration KW - Deep learning KW - Rainfall-runoff KW - modelling Y1 - 2021 U6 - https://doi.org/10.1016/j.cageo.2021.104708 SN - 0098-3004 SN - 1873-7803 VL - 149 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Ayzel, Georgy A1 - Heistermann, Maik A1 - Winterrath, Tanja T1 - Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0.1) JF - Geoscientific model development N2 - Quantitative precipitation nowcasting (QPN) has become an essential technique in various application contexts, such as early warning or urban sewage control. A common heuristic prediction approach is to track the motion of precipitation features from a sequence of weather radar images and then to displace the precipitation field to the imminent future (minutes to hours) based on that motion, assuming that the intensity of the features remains constant (“Lagrangian persistence”). In that context, “optical flow” has become one of the most popular tracking techniques. Yet the present landscape of computational QPN models still struggles with producing open software implementations. Focusing on this gap, we have developed and extensively benchmarked a stack of models based on different optical flow algorithms for the tracking step and a set of parsimonious extrapolation procedures based on image warping and advection. We demonstrate that these models provide skillful predictions comparable with or even superior to state-of-the-art operational software. Our software library (“rainymotion”) for precipitation nowcasting is written in the Python programming language and openly available at GitHub (https://github.com/hydrogo/rainymotion, Ayzel et al., 2019). That way, the library may serve as a tool for providing fast, free, and transparent solutions that could serve as a benchmark for further model development and hypothesis testing – a benchmark that is far more advanced than the conventional benchmark of Eulerian persistence commonly used in QPN verification experiments. KW - machine KW - system Y1 - 2019 U6 - https://doi.org/10.5194/gmd-12-1387-2019 SN - 1991-9603 SN - 1991-959X IS - 12 SP - 1387 EP - 1402 PB - Copernicus Publications CY - Göttingen ER - TY - GEN A1 - Ayzel, Georgy A1 - Heistermann, Maik A1 - Winterrath, Tanja T1 - Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0.1) T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Quantitative precipitation nowcasting (QPN) has become an essential technique in various application contexts, such as early warning or urban sewage control. A common heuristic prediction approach is to track the motion of precipitation features from a sequence of weather radar images and then to displace the precipitation field to the imminent future (minutes to hours) based on that motion, assuming that the intensity of the features remains constant (“Lagrangian persistence”). In that context, “optical flow” has become one of the most popular tracking techniques. Yet the present landscape of computational QPN models still struggles with producing open software implementations. Focusing on this gap, we have developed and extensively benchmarked a stack of models based on different optical flow algorithms for the tracking step and a set of parsimonious extrapolation procedures based on image warping and advection. We demonstrate that these models provide skillful predictions comparable with or even superior to state-of-the-art operational software. Our software library (“rainymotion”) for precipitation nowcasting is written in the Python programming language and openly available at GitHub (https://github.com/hydrogo/rainymotion, Ayzel et al., 2019). That way, the library may serve as a tool for providing fast, free, and transparent solutions that could serve as a benchmark for further model development and hypothesis testing – a benchmark that is far more advanced than the conventional benchmark of Eulerian persistence commonly used in QPN verification experiments. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 709 KW - machine KW - system Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-429333 SN - 1866-8372 IS - 709 ER - TY - GEN A1 - Ayzel, Georgy A1 - Izhitskiy, Alexander T1 - Climate change impact assessment on freshwater inflow into the Small Aral Sea T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - During the last few decades, the rapid separation of the Small Aral Sea from the isolated basin has changed its hydrological and ecological conditions tremendously. In the present study, we developed and validated the hybrid model for the Syr Darya River basin based on a combination of state-of-the-art hydrological and machine learning models. Climate change impact on freshwater inflow into the Small Aral Sea for the projection period 2007–2099 has been quantified based on the developed hybrid model and bias corrected and downscaled meteorological projections simulated by four General Circulation Models (GCM) for each of three Representative Concentration Pathway scenarios (RCP). The developed hybrid model reliably simulates freshwater inflow for the historical period with a Nash–Sutcliffe efficiency of 0.72 and a Kling–Gupta efficiency of 0.77. Results of the climate change impact assessment showed that the freshwater inflow projections produced by different GCMs are misleading by providing contradictory results for the projection period. However, we identified that the relative runoff changes are expected to be more pronounced in the case of more aggressive RCP scenarios. The simulated projections of freshwater inflow provide a basis for further assessment of climate change impacts on hydrological and ecological conditions of the Small Aral Sea in the 21st Century. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1071 KW - Small Aral Sea KW - hydrology KW - climate change KW - modeling KW - machine learning Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-472794 SN - 1866-8372 IS - 1071 ER - TY - JOUR A1 - Ayzel, Georgy A1 - Izhitskiy, Alexander T1 - Climate Change Impact Assessment on Freshwater Inflow into the Small Aral Sea JF - Water N2 - During the last few decades, the rapid separation of the Small Aral Sea from the isolated basin has changed its hydrological and ecological conditions tremendously. In the present study, we developed and validated the hybrid model for the Syr Darya River basin based on a combination of state-of-the-art hydrological and machine learning models. Climate change impact on freshwater inflow into the Small Aral Sea for the projection period 2007-2099 has been quantified based on the developed hybrid model and bias corrected and downscaled meteorological projections simulated by four General Circulation Models (GCM) for each of three Representative Concentration Pathway scenarios (RCP). The developed hybrid model reliably simulates freshwater inflow for the historical period with a Nash-Sutcliffe efficiency of 0.72 and a Kling-Gupta efficiency of 0.77. Results of the climate change impact assessment showed that the freshwater inflow projections produced by different GCMs are misleading by providing contradictory results for the projection period. However, we identified that the relative runoff changes are expected to be more pronounced in the case of more aggressive RCP scenarios. The simulated projections of freshwater inflow provide a basis for further assessment of climate change impacts on hydrological and ecological conditions of the Small Aral Sea in the 21st Century. KW - Small Aral Sea KW - hydrology KW - climate change KW - modeling KW - machine learning Y1 - 2019 U6 - https://doi.org/10.3390/w11112377 SN - 2073-4441 VL - 11 IS - 11 PB - MDPI CY - Basel ER - TY - JOUR A1 - Azar, Elif Zeynep A1 - Erdönmez, Çağlayan A1 - Verscheijden, Desirée T1 - Developing Critical Thinking JF - Potsdamer geographische Praxis N2 - 1. Critical thinking in curriculum framework 2. A general look at critical thinking 3. How critical thinking take s place in the classroom and some specific examples 4. Suggestions 5. Conclusion KW - Europäische Werteerziehung KW - Familie KW - Lehrevaluation KW - Studierendenaustausch KW - Unterrichtseinheiten KW - Curriculum Framework KW - European values education KW - Family KW - lesson evaluation KW - student exchange KW - teaching units KW - curriculum framework Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-65867 SN - 2194-1599 SN - 2194-1602 IS - 1 SP - 87 EP - 92 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Baars, Daniela A1 - Bajzík, Michal A1 - Pisarčík, Stanislav A1 - Weiser, Ines T1 - Developing critical thinking JF - Potsdamer geographische Praxis N2 - 1. What does critical thinking mean? 2. Critical thinking in school 3. Critical thinking as a process 4. Analysing and evaluating the questionnaire 5. Interview with one of the students 6. Analysis and evaluation of the assignments 7. Conclusion KW - Europäische Werteerziehung KW - Familie KW - Lehrevaluation KW - Studierendenaustausch KW - Unterrichtseinheiten KW - Curriculum Framework KW - European values education KW - Family KW - lesson evaluation KW - student exchange KW - teaching units KW - curriculum framework Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-65798 SN - 2194-1599 SN - 2194-1602 IS - 1 SP - 45 EP - 51 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Baars, Daniela A1 - Dal, Adem A1 - Şimşek, Esra T1 - Relating to students JF - Potsdamer geographische Praxis N2 - 1. What does relating to students mean? 2. Student teachers’ perceptions of relating the topic to the pupils 3. Conceptions of the pupils 4. Pupils’ perspective 5. Expectations of the pupils 6. Pupils’ evaluation of the strategies 7. Problems and suggestions 8. Conclusion / Summary KW - Europäische Werteerziehung KW - Familie KW - Lehrevaluation KW - Studierendenaustausch KW - Unterrichtseinheiten KW - Curriculum Framework KW - European values education KW - Family KW - lesson evaluation KW - student exchange KW - teaching units KW - curriculum framework Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-65935 SN - 2194-1599 SN - 2194-1602 IS - 3 SP - 37 EP - 43 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - THES A1 - Backmann, Pia T1 - Individual- and trait-based modelling of plant communities and their herbivores Y1 - 2017 ER - TY - JOUR A1 - Ballato, Paolo A1 - Stockli, Daniel F. A1 - Ghassemi, Mohammad R. A1 - Landgraf, Angela A1 - Strecker, Manfred A1 - Hassanzadeh, Jamshid A1 - Friedrich, Anke M. A1 - Tabatabaei, Saeid H. T1 - Accommodation of transpressional strain in the Arabia-Eurasia collision zone new constraints from (U-Th)/He thermochronology in the Alborz mountains, north Iran JF - Tectonics N2 - The Alborz range of N Iran provides key information on the spatiotemporal evolution and characteristics of the Arabia-Eurasia continental collision zone. The southwestern Alborz range constitutes a transpressional duplex, which accommodates oblique shortening between Central Iran and the South Caspian Basin. The duplex comprises NW-striking frontal ramps that are kinematically linked to inherited E-W-striking, right-stepping lateral to obliquely oriented ramps. New zircon and apatite (U-Th)/He data provide a high-resolution framework to unravel the evolution of collisional tectonics in this region. Our data record two pulses of fast cooling associated with SW-directed thrusting across the frontal ramps at similar to 18-14 and 9.5-7.5 Ma, resulting in the tectonic repetition of a fossil zircon partial retention zone and a cooling pattern with a half U-shaped geometry. Uniform cooling ages of similar to 7-6 Ma along the southernmost E-W striking oblique ramp and across its associated NW-striking frontal ramps suggests that the ramp was reactivated as a master throughgoing, N-dipping thrust. We interpret this major change in fault kinematics and deformation style to be related to a change in the shortening direction from NE to N/NNE. The reduction in the obliquity of thrusting may indicate the termination of strike-slip faulting (and possibly thrusting) across the Iranian Plateau, which could have been triggered by an increase in elevation. Furthermore, we suggest that similar to 7-6-m.y.-old S-directed thrusting predated inception of the westward motion of the South Caspian Basin. Citation: Ballato, P., D. F. Stockli, M. R. Ghassemi, A. Landgraf, M. R. Strecker, J. Hassanzadeh, A. Friedrich, and S. H. Tabatabaei (2012), Accommodation of transpressional strain in the Arabia-Eurasia collision zone: new constraints from (U-Th)/He thermochronology in the Alborz mountains. Y1 - 2013 U6 - https://doi.org/10.1029/2012TC003159 SN - 0278-7407 VL - 32 IS - 1 SP - 1 EP - 18 PB - American Geophysical Union CY - Washington ER - TY - THES A1 - Bamberg, Marlene T1 - Planetary mapping tools applied to floor-fractured craters on Mars T1 - Planetare Analysewerkzeuge am Anwendungsgebiet von Kratern mit zerbrochenen Boeden auf dem Mars N2 - Planetary research is often user-based and requires considerable skill, time, and effort. Unfortunately, self-defined boundary conditions, definitions, and rules are often not documented or not easy to comprehend due to the complexity of research. This makes a comparison to other studies, or an extension of the already existing research, complicated. Comparisons are often distorted, because results rely on different, not well defined, or even unknown boundary conditions. The purpose of this research is to develop a standardized analysis method for planetary surfaces, which is adaptable to several research topics. The method provides a consistent quality of results. This also includes achieving reliable and comparable results and reducing the time and effort of conducting such studies. A standardized analysis method is provided by automated analysis tools that focus on statistical parameters. Specific key parameters and boundary conditions are defined for the tool application. The analysis relies on a database in which all key parameters are stored. These databases can be easily updated and adapted to various research questions. This increases the flexibility, reproducibility, and comparability of the research. However, the quality of the database and reliability of definitions directly influence the results. To ensure a high quality of results, the rules and definitions need to be well defined and based on previously conducted case studies. The tools then produce parameters, which are obtained by defined geostatistical techniques (measurements, calculations, classifications). The idea of an automated statistical analysis is tested to proof benefits but also potential problems of this method. In this study, I adapt automated tools for floor-fractured craters (FFCs) on Mars. These impact craters show a variety of surface features, occurring in different Martian environments, and having different fracturing origins. They provide a complex morphological and geological field of application. 433 FFCs are classified by the analysis tools due to their fracturing process. Spatial data, environmental context, and crater interior data are analyzed to distinguish between the processes involved in floor fracturing. Related geologic processes, such as glacial and fluvial activity, are too similar to be separately classified by the automated tools. Glacial and fluvial fracturing processes are merged together for the classification. The automated tools provide probability values for each origin model. To guarantee the quality and reliability of the results, classification tools need to achieve an origin probability above 50 %. This analysis method shows that 15 % of the FFCs are fractured by intrusive volcanism, 20 % by tectonic activity, and 43 % by water & ice related processes. In total, 75 % of the FFCs are classified to an origin type. This can be explained by a combination of origin models, superposition or erosion of key parameters, or an unknown fracturing model. Those features have to be manually analyzed in detail. Another possibility would be the improvement of key parameters and rules for the classification. This research shows that it is possible to conduct an automated statistical analysis of morphologic and geologic features based on analysis tools. Analysis tools provide additional information to the user and are therefore considered assistance systems. N2 - Planetenforschung umfasst oft zeitintensive Projekte, bei denen Expertise und Erfahrung eine wesentliche Rolle spielen. Auf Grund äusserst komplexer und sich selten wiederholender Forschungsfragen sind Annahmen, Definitionen und Regeln zur Lösung dieser Fragen nicht leicht nachvollziehbar oder aber nicht eindeutig dokumentiert. Ein Vergleich der Ergebnisse unterschiedlicher Forscher zum selben Thema oder eine Erweiterung der Forschungsfrage macht dies somit nur schwer möglich. Vergleiche liefern oftmals verzerrte Ergebnisse, da die Ausgangslage und Randbedingungen unterschiedlich definiert worden sind. Das Ziel dieser Arbeit ist es eine Standardmethode zur Oberflächenanalyse zu entwickeln, die auf zahlreiche Untersuchungsfragen angewandt werden kann. Eine gleichbleibende Qualität der Ergebnisse muss durch diese Methode gewährleistet sein. Ein weiteres Ziel ist es, dass diese Methode ohne Vorwissen und Expertise angewandt werden kann und die Ergebnisse in kurzer Zeit vorliegen. Ausserdem müssen die Ergebnisse vergleichbar und nachvollziehbar sein. Automatisch operierende Analysewerkzeuge können die zahlreichen Anforderungen erfüllen und als Standardmethode dienen. Statistische Ergebnisse werden durch diese Methode erzielt. Die Werkzeuge basieren auf vordefinierten, geowissenschaftlichen Techniken und umfassen Messungen, Berechnungen und Klassifikationen der zu untersuchenden Oberflächenstrukturen. Für die Anwendung dieser Werkzeuge müssen Schlüsselstrukturen und Randbedingungen definiert werden. Des Weiteren benötigen die Werkzeuge eine Datenbank, in der alle Oberflächenstrukturen, aber auch Informationen zu den Randbedingungen gespeichert sind. Es ist mit geringem Aufwand möglich, Datenbanken zu aktualisieren und sie auf verschiedenste Fragestellungen zu adaptieren. Diese Tatsache steigert die Flexibilität, Reproduzierbarkeit und auch Vergleichbarkeit der Untersuchung. Die vordefinierten Randbedingungen und die Qualität der Datenbank haben jedoch auch direkten Einfluss auf die Qualität der Ergebnisse. Um eine gleichbleibend hohe Qualität der Untersuchung zu gewährleisten muss sichergestellt werden, dass alle vordefinierten Bedingungen eindeutig sind und auf vorheriger Forschung basieren. Die automatisch operierenden Analysewerkzeuge müssen als mögliche Standardmethode getestet werden. Hierbei geht es darum Vorteile, aber auch Nachteile zu identifizieren und zu bewerten. In dieser Arbeit werden die Analysewerkzeuge auf einen bestimmten Einschlagskratertyp auf dem Mars angewandt. Krater mit zerbrochenen Kraterböden (Floor-Fractured Craters) sind in verschiedensten Regionen auf dem Mars zu finden, sie zeigen zahlreiche Oberflächenstrukturen und wurden durch unterschiedliche Prozesse geformt. All diese Fakten machen diesen Kratertyp zu einem interessanten und im geologischen und morphologischen Sinne sehr komplexen Anwendungsgebiet. 433 Krater sind durch die Werkzeuge analysiert und je nach Entstehungsprozess klassifiziert worden. Für diese Analyse sind Position der Krater, Art des Umfeldes und Strukturen im Kraterinneren ausschlaggebend. Die kombinierten Informationen geben somit Auskunft über die Prozesse, welche zum Zerbrechen des Kraterbodens geführt haben. Die entwickelten Analysewerkzeuge können geologische Prozesse, die sehr ähnlich zueinander sind, von einander abhängig sind und zusätzlich auch dieselben Oberflächenstrukturen formen, nicht eindeutig unterscheiden. Aus diesem Grund sind fluviale und glaziale Entstehungsprozesse für den untersuchten Kratertyp zusammengefasst. Die Analysewerkzeuge liefern Wahrscheinlichkeitswerte für drei mögliche Entstehungsarten. Um die Qualität der Ergebnisse zu verbessern muss eine Wahrscheinlichkeit über 50 % erreicht werden. Die Werkzeuge zeigen, dass 15 % der Krater durch Vulkanismus, 20 % durch Tektonik und 43 % durch Wasser- und Eis-bedingte Prozesse gebildet wurden. Insgesamt kann für 75 % des untersuchten Kratertyps ein potentieller Entstehungsprozess zugeordnet werden. Für 25 % der Krater ist eine Klassifizierung nicht möglich. Dies kann durch eine Kombination von geologischen Prozessen, einer Überprägung von wichtigen Schlüsselstrukturen, oder eines bisher nicht berücksichtigten Prozesses erklärt werden. Zusammenfassend ist zu sagen, dass es möglich ist planetare Oberflächenstrukturen quantitativ durch automatisch operierende Analysewerkzeuge zu erfassen und hinsichtlich einer definierten Fragestellung zu klassifizieren. Zusätzliche Informationen können durch die entwickelten Werkzeuge erhalten werden, daher sind sie als Assistenzsystem zu betrachten. KW - Datenbank KW - Automatisierung KW - Klassifizierung KW - geologische Prozesse KW - Geomorphologie KW - database KW - automation KW - classification KW - geological processes KW - geomorphology Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-72104 ER - TY - JOUR A1 - Bamberg, Marlene A1 - Jaumann, Ralf A1 - Asche, Hartmut A1 - Kneissl, T. A1 - Michael, G. G. T1 - Floor-Fractured Craters on Mars - Observations and Origin JF - Planetary and space science N2 - Floor-Fractured Craters (FFCs) represent an impact crater type, where the infilling is separated by cracks into knobs of different sizes and shapes. This work focuses on the possible processes which form FFCs to understand the relationship between location and geological environment. We generated a global distribution map using new High Resolution Stereo Camera and Context Camera images. Four hundred and twenty-one potential FFCs have been identified on Mars. A strong link exists among floor fracturing, chaotic terrain, outflow channels and the dichotomy boundary. However, FFCs are also found in the Martian highlands. Additionally, two very diverse craters are used as a case study and we compared them regarding appearance of the surface units, chronology and geological processes. Five potential models of floor fracturing are presented and discussed here. The analyses suggest an origin due to volcanic activity, groundwater migration or tensile stresses. Also subsurface ice reservoirs and tectonic activity are taken into account. Furthermore, the origin of fracturing differs according to the location on Mars. (C) 2013 Elsevier Ltd. All rights reserved. KW - Distribution KW - Volcanic activity KW - Fluvial processes KW - Infilling KW - Polygons KW - Tectonic Y1 - 2014 U6 - https://doi.org/10.1016/j.pss.2013.09.017 SN - 0032-0633 VL - 98 SP - 146 EP - 162 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Barbosa, Luis Romero A1 - de Lira, Nicholas Borges A1 - Rabelo Coelho, Victor Hugo A1 - Bernard Passerat de Silans, Alain Marie A1 - Gadelha, Andre Nobrega A1 - Almeida, Cristiano das Neves T1 - Stability of Soil Moisture Patterns Retrieved at Different Temporal Resolutions in a Tropical Watershed JF - Revista brasileira de ciencias do solo N2 - Above and underground hydrological processes depend on soil moisture (SM) variability, driven by different environmental factors that seldom are well-monitored, leading to a misunderstanding of soil water temporal patterns. This study investigated the stability of the SM temporal dynamics to different monitoring temporal resolutions around the border between two soil types in a tropical watershed. Four locations were instrumented in a small-scale watershed (5.84 km(2)) within the tropical coast of Northeast Brazil, encompassing different soil types (Espodossolo Humiluvico or Carbic Podzol, and Argissolo Vermelho-Amarelo or Haplic Acrisol), land covers (Atlantic Forest, bush vegetation, and grassland) and topographies (flat and moderate slope). The SM was monitored at a temporal resolution of one hour along the 2013-2014 hydrological year and then resampled a resolutions of 6 h, 12 h, 1 day, 2 days, 4 days, 7 days, and 15 days. Descriptive statistics, temporal variability, time-stability ranking, and hierarchical clustering revealed uneven associations among SM time components. The results show that the time-invariant component ruled SM temporal variability over the time-varying parcel, either at high or low temporal resolutions. Time-steps longer than 2 days affected the mean statistical metrics of the SM time-variant parcel. Additionally, SM at downstream and upstream sites behaved differently, suggesting that the temporal mean was regulated by steady soil properties (slope, restrictive layer, and soil texture), whereas their temporal anomalies were driven by climate (rainfall) and hydrogeological (groundwater level) factors. Therefore, it is concluded that around the border between tropical soil types, the distinct behaviour of time-variant and time-invariant components of SM time series reflects different combinations of their soil properties. KW - soil moisture variability KW - time-domain reflectometry KW - temporal resolution KW - Carbic Podzol KW - Haplic Acrisol Y1 - 2019 U6 - https://doi.org/10.1590/18069657rbcs20180236 SN - 0100-0683 VL - 43 PB - Sociedade Brasileira de Ciencia do Solo CY - Vicosa ER - TY - THES A1 - Barbosa, Luís Romero T1 - Groundwater recharge in tropical wet regions via GIS-based and cosmic-ray neutron sensing T1 - Recarga de águas subterrâneas em regiões úmidas tropicais por métodos baseados em SIG e Detecção de Nêutrons de Raios Cósmicos T1 - Grundwasserneubildung in tropisch-feuchten Gebieten über GIS-basierte Methoden und Messung der Neutronen aus kosmischer Höhenstrahlung N2 - Studies on the unsustainable use of groundwater resources are still considered incipient since it is frequently a poorly understood and managed, devalued and inadequately protected natural resource. Groundwater Recharge (GWR) is one of the most challenging elements to estimate since it can rarely be measured directly and cannot easily be derived from existing data. To overcome these limitations, many hydro(geo)logists have combined different approaches to estimate large-scale GWR, namely: remote sensing products, such as IMERG product; Water Budget Equation, also in combination with hydrological models, and; Geographic Information System (GIS), using estimation formulas. For intermediary-scale GWR estimation, there exist: Non-invasive Cosmic-Ray Neutron Sensing (CRNS); wireless networks from local soil probes; and soil hydrological models, such as HYDRUS. Accordingly, this PhD thesis aims, on the one hand, to demonstrate a GIS-based model coupling for estimating the GWR distribution on a large scale in tropical wet basins. On the other hand, it aims to use the time series from CRNS and invasive soil moisture probes to inversely calibrate the soil hydraulic properties, and based on this, estimating the intermediary-scale GWR using a soil hydrological model. For such purpose, two tropical wet basins located in a complex sedimentary aquifer in the coastal Northeast region of Brazil were selected. These are the João Pessoa Case Study Area and the Guaraíra Experimental Basin. Several satellite products in the first area were used as input to the GIS-based water budget equation model for estimating the water balance components and GWR in 2016 and 2017. In addition, the point-scale measurement and CRNS data were used in the second area to determine the soil hydraulic properties, and to estimate the GWR in the 2017-2018 and 2018-2019 hydrological years. The resulting values of GWR on large- and intermediary-scale were then compared and validated by the estimates obtained by groundwater table fluctuations. The GWR rates for IMERG- and rain-gauge-based scenarios showed similar coefficients between 68% and 89%, similar mean errors between 30% and 34%, and slightly-different bias between -13% and 11%. The results of GWR rates for soil probes and CRNS soil moisture scenarios ranged from -5.87 to -61.81 cm yr-1, which corresponds to 5% and 38% of the precipitation. The calculations of the mean GWR rates on large-scale, based on remote sensing data, and on intermediary-scale, based on CRNS data, held similar results for the Podzol soil type, namely 17.87% and 17% of the precipitation. It is then concluded that the proposed methodologies allowed for estimating realistically the GWR over the study areas, which can be a ground-breaking step towards improving the water management and decision-making in the Northeast of Brazil. N2 - Studien über die nicht nachhaltige Nutzung von Grundwasserressourcen gelten nach wie vor als am Anfang, da es sich oft um eine schlecht verstandene und unkontrolliert genutzte, geringgeschätzte und unzureichend geschützte natürliche Ressource handelt. Die Grundwasserneubildung (GWR) ist eines der am schwierigsten abzuschätzenden Einflussgrößen, da sie selten direkt gemessen werden kann und nicht einfach aus vorhandenen Daten abzuleiten ist. Um diese Einschränkungen zu überwinden, haben viele Hydro(geo)logen verschiedene Ansätze kombiniert, um die GWR in großem Maßstab zu ermitteln, darunter sind: Fernerkundungsprodukte, wie das IMERG-Produkt; Wasserbilanz-Abschätzungen, auch in Kombination mit hydrologischen Modellen und; Geographische Informationssysteme (GIS) unter Nutzung von Abschätzungsformeln. Für die Ermittlung von GWR auf mittleren Flächenskalen existieren: Nicht-invasive Messung der Albedoneutronen an der Landoberfläche (CRNS); Drahtlosnetzwerke von lokalen Bodensonden, und bodenhydrologische Modelle, wie bspw. HYDRUS. In diesem Kontext zielt die Doktorarbeit zum einen darauf ab, eine GIS-basiert Modellkopplung zur Schätzung der GWR-Verteilung im großen Maßstab in tropisch-feuchte Einzugsgebiete aufzuzeigen. Zum anderen verwendet sie CRNS- und invasive Bodenfeuchtesonden-Zeitreihen zur inversen Kalibrierung der hydraulischen Bodeneigenschaften und darauf aufbauend zur Schätzung der GWR im mittleren Maßstab über ein bodenhydrologisches Modell. Zu diesem Zweck wurden zwei tropisch-feuchte Einzugsgebiete ausgewählt, die sich in einem komplexen Sedimentgrundwasserleiter der Küstenregion des Nordosten-Brasilien befinden. Dies sind das João Pessoa-Fallstudiengebiet und das Guaraíra-Flusseinzugsgebiet. Mehrere Satellitenprodukte wurden im ersten Gebiet als Eingangsdaten für das GIS-basierte Wasserbilanz-Modell zur Schätzung der Wasserhaushaltskomponenten und der GWR in den Jahren 2016 und 2017 verwendet. Daneben wurden im zweiten Gebiet die Punktmessungen- und CRNS-Daten verwendet, um über ein bodenhydrologisches HYDRUS-1D-Modell die hydraulischen Bodeneigenschaften zu ermitteln und die GWR in den hydrologischen Jahren 2017-2018 und 2018-2019 abzuschätzen. Die resultierenden GWR-Werte im großen und mittleren Maßstab wurden dann mit den gemessenen Schwankungen der Grundwasserstände verglichen und daran überprüft. Die GWR-Raten aus IMERG- und Niederschlagsmessern-basierten Szenarien zeigten ähnliche Korrelationen zwischen 68% und 89%, mittlere Fehler zwischen 30% und 34%, und leicht unterschiedliche Abweichungen zwischen -13% und 11%. Die berechneten GWR-Raten für Bodensonden- und CRNS-Bodenfeuchtewerte lagen im Bereich von 58,7 bis 618,1 mm im Jahr, was 5% bzw. 38% der Niederschlagsmengen entspricht. Die Berechnung der mittleren GWR-Raten auf großer Landschaftsskala, basierend auf Fernerkundungsdaten, und auf mittlerer Skala, basierend auf CRNS-Daten, ergaben für den Bodentyp Podsol ähnliche Ergebnisse, nämlich 17,87% bzw. 17% der Niederschläge. Daraus wurde der Schluss gezogen, dass die vorgeschlagenen Methoden eine realistische Schätzung der GWR in den Untersuchungsgebieten ermöglichen, was ein wegweisender Schritt zur Verbesserung des Wassermanagements und Nutzungsentscheidungen im Nordosten Brasiliens sein kann. N2 - Estudos sobre o uso insustentável dos recursos hídricos subterrâneos ainda são considerados incipientes, por se tratar de um recurso natural pouco compreendido e gerenciado, desvalorizado e mal protegido. A Recarga de Água Subterrânea (GWR) é um dos elementos mais desafiadores para estimar, pois raramente pode ser medido diretamente e não pode ser facilmente derivado dos dados existentes. Para superar essas limitações, muitos hidro(geo)logistas têm combinado diferentes abordagens para estimar a GWR em larga escala, a saber: produtos de sensoriamento remoto, como o produto IMERG; Equação do Balanço Hídrico, também em combinação com modelos hidrológicos no solo, e; Sistema de Informação Geográfica (GIS), com o uso de fórmulas de estimativa. Para as estimativas de GWR em escala intermediária, existem: Detecção Não-invasiva de Nêutrons de Raios Cósmicos (CRNS); redes sem fio a partir de sondas locais inseridos no solo; e modelos hidrológicos, como o HYDRUS. Neste contexto, a tese de doutorado visa, por um lado, demonstrar um acoplamento de modelo baseado em GIS para estimar a distribuição da GWR em larga escala em bacias tropicais úmidas. Por outro lado, visa utilizar as séries temporais de CRNS e de umidade do solo de sondas invasivas para calibrar inversamente as propriedades hidráulicas do solo, e com base nisso, estimar a GWR em escala intermediária usando um modelo hidrológico do solo. Para tanto, foram selecionadas duas bacias hidrográficas úmidas tropicais, localizadas em um aquífero sedimentar complexo na região costeira do Nordeste do Brasil. Estas são a Área de Estudo de Caso de João Pessoa e a Bacia Experimental do Guaraíra. Vários produtos de satélite foram usados na primeira área como entrada no modelo de balanço hídrico baseado em GIS para estimar os componentes do balanço hídrico e a GWR em 2016 e 2017. Além disso, as medições em escala pontual e os dados de CRNS foram usados na segunda área para determinar as propriedades hidráulicas do solo, e estimar GWR nos anos hidrológicos 2017-2018 e 2018-2019. Os valores resultantes de GWR em escala larga e intermediária foram então comparadas e validadas pelas estimativas obtidas pelas flutuações do lençol freático. As taxas de GWR para os cenários baseados no IMERG e em medidores de precipitação mostraram correlações semelhantes entre 68% e 89, erros médios semelhantes entre 30% e 34%, e viés ligeiramente diferentes entre -13% e 11%. Os resultados das taxas de GWR para os cenários de umidade do solo para sensores inseridos no solo e CRNS variaram de -5,87 a -61,81 cm ano-1, o que corresponde a 5% e 38% da precipitação. Os cálculos das taxas médias de GWR em grande escala, com base em dados de sensoriamento remoto, e em média escala, com base em dados de CRNS, apresentaram resultados semelhantes para o tipo de solo Espodossolo, a saber 17,87% e 17% da precipitação. Conclui-se então que as metodologias propostas permitiram estimar realisticamente a GWR nas áreas de estudo, o que pode ser um passo inovador no tocante ao aprimoramento do gerenciamento e tomada de decisão da água no Nordeste do Brasil. KW - groundwater recharge KW - remote sensing KW - cosmic-ray neutron sensing KW - soil hydraulic properties KW - northeast of Brazil KW - Grundwasserneubildung KW - Fernerkundungsprodukte KW - Neutronen aus kosmischer Höhenstrahlung KW - hydraulische Bodeneigenschaften KW - Nordostbrasilien KW - recarga de águas subterrâneas KW - sensoriamento remoto KW - detecção de nêutrons de raios cósmicos KW - propriedades hidráulicas do solo KW - nordeste do Brasil Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-460641 ER - TY - JOUR A1 - Barendrecht, Marlies H. A1 - Viglione, Alberto A1 - Kreibich, Heidi A1 - Merz, Bruno A1 - Vorogushyn, Sergiy A1 - Blöschl, G. T1 - The Value of Empirical Data for Estimating the Parameters of a Sociohydrological Flood Risk Model JF - Water resources research N2 - In this paper, empirical data are used to estimate the parameters of a sociohydrological flood risk model. The proposed model, which describes the interactions between floods, settlement density, awareness, preparedness, and flood loss, is based on the literature. Data for the case study of Dresden, Germany, over a period of 200years, are used to estimate the model parameters through Bayesian inference. The credibility bounds of their estimates are small, even though the data are rather uncertain. A sensitivity analysis is performed to examine the value of the different data sources in estimating the model parameters. In general, the estimated parameters are less biased when using data at the end of the modeled period. Data about flood awareness are the most important to correctly estimate the parameters of this model and to correctly model the system dynamics. Using more data for other variables cannot compensate for the absence of awareness data. More generally, the absence of data mostly affects the estimation of the parameters that are directly related to the variable for which data are missing. This paper demonstrates that combining sociohydrological modeling and empirical data gives additional insights into the sociohydrological system, such as quantifying the forgetfulness of the society, which would otherwise not be easily achieved by sociohydrological models without data or by standard statistical analysis of empirical data. Y1 - 2019 U6 - https://doi.org/10.1029/2018WR024128 SN - 0043-1397 SN - 1944-7973 VL - 55 IS - 2 SP - 1312 EP - 1336 PB - American Geophysical Union CY - Washington ER - TY - JOUR A1 - Barkow, Isolde S. A1 - Oswald, Sascha A1 - Lensing, Hermann Josef A1 - Munz, Matthias T1 - Seasonal dynamics modifies fate of oxygen, nitrate, and organic micropollutants during bank filtration BT - temperature-dependent reactive transport modeling of field data JF - Environmental science and pollution research : official organ of the EuCheMS Division for Chemistry and the Environment, EuCheMS DCE N2 - Bank filtration is considered to improve water quality through microbially mediated degradation of pollutants and is suitable for waterworks to increase their production. In particular, aquifer temperatures and oxygen supply have a great impact on many microbial processes. To investigate the temporal and spatial behavior of selected organic micropollutants during bank filtration in dependence of relevant biogeochemical conditions, we have set up a 2D reactive transport model using MODFLOW and PHT3D under the user interface ORTI3D. The considered 160-m-long transect ranges from the surface water to a groundwater extraction well of the adjacent waterworks. For this purpose, water levels, temperatures, and chemical parameters were regularly measured in the surface water and groundwater observation wells over one and a half years. To simulate the effect of seasonal temperature variations on microbial mediated degradation, we applied an empirical temperature factor, which yields a strong reduction of the degradation rate at groundwater temperatures below 11 degrees C. Except for acesulfame, the considered organic micropollutants are substantially degraded along their subsurface flow paths with maximum degradation rates in the range of 10(-6) mol L-1 s(-1). Preferential biodegradation of phenazone, diclofenac, and valsartan was found under oxic conditions, whereas carbamazepine and sulfamethoxazole were degraded under anoxic conditions. This study highlights the influence of seasonal variations in oxygen supply and temperature on the fate of organic micropollutants in surface water infiltrating into an aquifer. KW - bank filtration KW - aerobic and anaerobic conditions KW - pharmaceuticals and KW - personal care products KW - reactive transport modeling KW - degradation Y1 - 2020 U6 - https://doi.org/10.1007/s11356-020-11002-9 SN - 0944-1344 SN - 1614-7499 VL - 28 IS - 8 SP - 9682 EP - 9700 PB - Springer CY - Heidelberg ER - TY - JOUR A1 - Baroni, Gabriele A1 - Schalge, Bernd A1 - Rakovec, Oldrich A1 - Kumar, Rohini A1 - Schüler, Lennart A1 - Samaniego, Luis A1 - Simmer, Clemens A1 - Attinger, Sabine T1 - A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies JF - Water resources research N2 - The improvement of process representations in hydrological models is often only driven by the modelers' knowledge and data availability. We present a comprehensive comparison between two hydrological models of different complexity that is developed to support (1) the understanding of the differences between model structures and (2) the identification of the observations needed for model assessment and improvement. The comparison is conducted on both space and time and by aggregating the outputs at different spatiotemporal scales. In the present study, mHM, a process‐based hydrological model, and ParFlow‐CLM, an integrated subsurface‐surface hydrological model, are used. The models are applied in a mesoscale catchment in Germany. Both models agree in the simulated river discharge at the outlet and the surface soil moisture dynamics, lending their supports for some model applications (drought monitoring). Different model sensitivities are, however, found when comparing evapotranspiration and soil moisture at different soil depths. The analysis supports the need of observations within the catchment for model assessment, but it indicates that different strategies should be considered for the different variables. Evapotranspiration measurements are needed at daily resolution across several locations, while highly resolved spatially distributed observations with lower temporal frequency are required for soil moisture. Finally, the results show the impact of the shallow groundwater system simulated by ParFlow‐CLM and the need to account for the related soil moisture redistribution. Our comparison strategy can be applied to other models types and environmental conditions to strengthen the dialog between modelers and experimentalists for improving process representations in Earth system models. KW - hydrological models KW - assessments KW - monitoring strategies KW - improvements Y1 - 2019 U6 - https://doi.org/10.1029/2018WR023941 SN - 0043-1397 SN - 1944-7973 VL - 55 IS - 2 SP - 990 EP - 1010 PB - American Geophysical Union CY - Washington ER - TY - JOUR A1 - Barsch, Heiner A1 - Blumenstein, Oswald A1 - Schubert, Rudolf T1 - The case of sewage farms south of Berlin Y1 - 1999 ER - TY - JOUR A1 - Barthel, Martin A1 - Bürkner, Hans-Joachim T1 - Ukraine and the big moral divide BT - what biased media coverage means to East European borders JF - Geopolitics N2 - Geopolitical shifts and the changing significance of borders in the EU's neighbourhood are usually understood as a matter of international power politics. Factors that accompany geopolitical impact on borders, such as media coverage of geopolitical change, often appear as secondary or irrelevant. However the recent Ukraine conflict revealed the contrary as pro-EU attitudes were strongly supported by 'western' media. Therefore this paper seeks to clarify the role of news media in creating perspectives and attitudes on geopolitical shifts and the significance of European borders. Empirical evidence on the coverage of the evolving Ukraine crisis by German news sources portrays the media as promoters of biased framings and imaginaries which suggest that the EU be a potential conflict party in the newly evolving geostrategic confrontation in its eastern neighbourhood. The findings indicate that during critical periods of the Ukraine crisis media reports combined rising euphoria about Europe and 'the West', as defenders of the 'good cause', with excessive moral polarising and the discursive normalisation of a rhetoric of escalation. Imaginaries of a bipolar world (The West against Russia) and a new Cold War prepared the ground for a new understanding of European borders and neighbourhood relations as being manipulable at will. Y1 - 2019 U6 - https://doi.org/10.1080/14650045.2018.1561437 SN - 1465-0045 SN - 1557-3028 VL - 25 IS - 3 SP - 633 EP - 657 PB - Routledge, Taylor & Francis Group CY - Philadelphia, Pa. [u.a] ER - TY - JOUR A1 - Barthold, Frauke Katrin A1 - Stallard, Robert F. A1 - Elsenbeer, Helmut T1 - Soil nutrient-landscape relationships in a lowland tropical rainforest in Panama N2 - Soils play a crucial role in biogeochemical cycles as spatially distributed sources and sinks of nutrients. Any spatial patterns depend on soil forming processes, our understanding of which is still limited, especially in regards to tropical rainforests. The objective of our study was to investigate the effects of landscape properties, with an emphasis on the geometry of the land surface, on the spatial heterogeneity of soil chemical properties, and to test the suitability of soil-landscape modeling as an appropriate technique to predict the spatial variability of exchangeable K and Mg in a humid tropical forest in Panama. We used a design-based, stratified sampling scheme to collect soil samples at 108 sites on Barro Colorado Island, Panama. Stratifying variables are lithology, vegetation and topography. Topographic variables were generated from high-resolution digital elevation models with a grid size of 5 m. We took samples from five depths down to I m, and analyzed for total and exchangeable K and Mg. We used simple explorative data analysis techniques to elucidate the importance of lithology for soil total and exchangeable K and Mg. Classification and Regression Trees (CART) were adopted to investigate importance of topography, lithology and vegetation for the spatial distribution of exchangeable K and Mg and with the intention to develop models that regionalize the point observations using digital terrain data as explanatory variables. Our results suggest that topography and vegetation do not control the spatial distribution of the selected soil chemical properties at a landscape scale and lithology is important to some degree. Exchangeable K is distributed equally across the study area indicating that other than landscape processes, e.g. biogeochemical processes, are responsible for its spatial distribution. Lithology contributes to the spatial variation of exchangeable Mg but controlling variables could not be detected. The spatial variation of soil total K and Mg is mainly influenced by lithology. Y1 - 2008 UR - http://si-pddr.si.edu/dspace/bitstream/10088/7790/1/Barthold_soil_nutrient_landscape_r.pdf U6 - https://doi.org/10.1016/j.foreco.2007.09.089 SN - 0378-1127 ER - TY - JOUR A1 - Bauer, Jonas A1 - Börsig, Nicolas A1 - Pham, Van Cam A1 - Hoan, Tran Viet A1 - Nguyen, Ha Thi A1 - Norra, Stefan T1 - Geochemistry and evolution of groundwater resources in the context of salinization and freshening in the southernmost Mekong Delta, Vietnam JF - Journal of Hydrology: Regional Studies N2 - Study region: Ca Mau Province (CMP), Mekong Delta (MD), Vietnam. Study focus: Groundwater from deep aquifers is the most reliable source of freshwater in the MD but extensive overexploitation in the last decades led to the drop of hydraulic heads and negative environmental impacts. Therefore, a comprehensive groundwater investigation was conducted to evaluate its composition in the context of Quaternary marine transgression and regression cycles, geochemical processes as well as groundwater extraction. New hydrological insights for the region: The abundance of groundwater of Na-HCO3 type and distinct ion ratios, such as Na+/Cl-, indicate extensive freshwater intrusion in an initially saline hydrogeological system, with decreasing intensity from upper Pleistocene to deeper Miocene aquifers, most likely during the last marine regression phase 60-12 ka BP. Deviations from the conservative mixing line between the two endmembers seawater and freshwater are attributed to ion-exchange processes on mineral surfaces, making ion ratios in combination with a customized water type analysis a useful tool to distinguish between salinization and freshening processes. Elevated salinity in some areas is attributed to HCO3- generation by organic matter decomposition in marine sediments rather than to seawater intrusion. Nevertheless, a few randomly distributed locations show strong evidence of recent salinization in an early stage, which may be caused by the downwards migration of saline Holocene groundwater through natural and anthropogenic pathways into deep aquifers. KW - Ca Mau KW - Hydrogeology KW - Delta aquifer system KW - Salinity KW - Freshwater KW - Seawater intrusion Y1 - 2022 U6 - https://doi.org/10.1016/j.ejrh.2022.101010 SN - 2214-5818 VL - 40 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Bechtold, Sander A1 - Hogendoorn, Thirza A1 - Kohútová, Vivien A1 - Potočanová, Katarína T1 - Deepening understanding JF - Potsdamer geographische Praxis N2 - 1. Key concepts 2. What students should have done 3. What students did 4. Deepening understanding 5. General description of deepening understanding 6. Why is deepening understanding an important stage? 7. How does deepening understanding occur in the lessons and some examples 8. Possible difficulties 9. Conclusion KW - Europäische Werteerziehung KW - Familie KW - Lehrevaluation KW - Studierendenaustausch KW - Unterrichtseinheiten KW - Curriculum Framework KW - European values education KW - Family KW - lesson evaluation KW - student exchange KW - teaching units KW - curriculum framework Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-66011 SN - 2194-1599 SN - 2194-1602 IS - 3 SP - 105 EP - 110 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - THES A1 - Begu, Enkela T1 - Elections in a spatial context : a case study of Albanian parliamentary elections, 1991-2005 T1 - Wahlen im räumlichen Kontext : eine Fallstudie über die Parlamentswahlen in Albanien, 1991-2005 N2 - Exploring elections features from a geographical perspective is the focus of this study. Its primary objective is to develop a scientific approach based on geoinformation technology (GIT) that promotes deeper understanding how geographical settings affect the spatial and temporal variations of voting behaviour and election outcomes. For this purpose, the five parliamentary elections (1991-2005) following the political turnaround in 1990 in the South East European reform country Albania have been selected as a case study. Elections, like other social phenomena that do not develop uniformly over a territory, inherit a spatial dimension. Despite of fact that elections have been researched by various scientific disciplines ranging from political science to geography, studies that incorporate their spatial dimension are still limited in number and approaches. Consequently, the methodologies needed to generate an integrated knowledge on many facets that constitute election features are lacking. This study addresses characteristics and interactions of the essential elements involved in an election process. Thus, the baseline of the approach presented here is the exploration of relations between three entities: electorate (political and sociodemographic features), election process (electoral system and code) and place (environment where voters reside). To express this interaction the concept of electoral pattern is introduced. Electoral patterns are defined by the study as the final view of election results, chiefly in tabular and/or map form, generated by the complex interaction of social, economic, juridical, and spatial features of the electorate, which has occurred at a specific time and in a particular geographical location. GIT methods of geoanalysis and geovisualization are used to investigate the characteristics of electoral patterns in their spatial and temporal distribution. Aggregate-level data modelled in map form were used to analyse and visualize the spatial distribution of election patterns components and relations. The spatial dimension of the study is addressed in the following three main relations: One, the relation between place and electorate and its expression through the social, demographic and economic features of the electorate resulting in the profile of the electorate’s context; second, the electorate-election interaction which forms the baseline to explore the perspective of local contextual effects in voting behaviour and election results; third, the relation between geographical location and election outcomes reflecting the implication of determining constituency boundaries on election results. To address the above relations, three types of variables: geo, independent and dependent, have been elaborated and two models have been created. The Data Model, developed in a GIS environment, facilitates structuring of election data in order to perform spatial analysis. The peculiarity of electoral patterns – a multidimensional array that contains information on three variables, stored in data layers of dissimilar spatial units of reference and scales of value measurement – prohibit spatial analysis based on the original source data. To perform a joint spatial analysis it is therefore mandatory to restructure the spatial units of reference while preserving their semantic content. In this operation, all relevant electoral as well as socio-demographic data referenced to different administrative spatial entities are re-referenced to uniform grid cells as virtual spatial units of reference. Depending on the scale of data acquisition and map presentation, a cell width of 0.5 km has been determined. The resulting fine grid forms the basis of subsequent data analyses and correlations. Conversion of the original vector data layers into target raster layers allows for unification of spatial units, at the same time retaining the existing level of detail of the data (variables, uniform distribution over space). This in turn facilitates the integration of the variables studied and the performance of GIS-based spatial analysis. In addition, conversion to raster format makes it possible to assign new values to the original data, which are based on a common scale eliminating existing differences in scale of measurement. Raster format operations of the type described are well-established data analysis techniques in GIT, yet they have rarely been employed to process and analyse electoral data. The Geovisualization Model, developed in a cartographic environment, complements the Data Model. As an analog graphic model it facilitates efficient communication and exploration of geographical information through cartographic visualization. Based on this model, 52 choropleth maps have been generated. They represent the outcome of the GIS-based electoral data analysis. The analog map form allows for in-depth visual analysis and interpretation of the distribution and correlation of the electoral data studied. For researchers, decision makers and a wider public the maps provide easy-to-access information on and promote easy-to-understand insight into the spatial dimension, regional variation and resulting structures of the electoral patterns defined. N2 - Gegenstand der vorliegenden Studie ist die Erforschung der aus politischen Wahlen resultierenden Raumstrukturen mit Methoden und Techniken der Geoinformationsverarbeitung. Auf der Basis eines gemeinsamen räumlichen Bezuges wird es durch die Verknüpfung der Wahlergebnisse mit ausgewählten wirtschaftlichen, demographischen und sozialen Parametern möglich, die räumliche Verteilung, Kernräume (Hochburgen) und räumlich-strukturelle Verknüpfungen der Wahlergebnisse politischer Parteien zu untersuchen. Die Resultate tragen zu einem besseren Verständnis der Ergebnisse politischer Wahlen und deren räumliche Dimensionen auf nationaler bis lokaler Ebene bei. Die Studie wird am Beispiel der fünf Parlamentswahlen (1991-2005) des südosteuropäischen Reformstaates Albanien durchgeführt, die seit der politischen Wende 1990 stattgefunden haben. Ausgangspunkt der Untersuchung ist die Tatsache, dass Wahlen, wie zahllose andere gesellschaftliche Phänomene auch, eine räumliche Dimension besitzen. Diese kommt in der territorialen Organisation politischer Wahlen in Wahlkreisen explizit zum Ausdruck. In der parlamentarischen Vertretung der politischen Parteien spiegelt sich dies allerdings nur indirekt wider. Zwar waren die parteipolitischen Aspekte politischer Wahlen als auch die parlamentarische Repräsentation sowie die soziodemographischen Strukturen der Wahlbevölkerung Gegenstand einer Vielzahl von Studien aus Politik- und Sozialwissenschaften. Dies auch gilt für die Geographie. Die erwähnte räumliche Dimension politischer Wahlen wurde bislang aber seltener in das Zentrum von Untersuchungen gestellt. Es mangelt insofern auch an spezifischen Methodologien, die eine integrierte Untersuchung aller relevanten Wahlparameter ermöglichen und eine umfassende Bewertung alle Aspekte des Wahlwahlverhaltens einer Wahlbevölkerung bei politischen Wahlen unterstützen. Die vorliegende Studie untersucht strukturelle wie räumliche Merkmale und Zusammenhänge der wesentlichen Faktoren, die bei politischen Wahlen relevant sind. Ausgangspunkt ist die Untersuchung so genannter Wahlmuster, die durch das Zusammenwirken folgender Faktoren entstehen: Wahlprozess (Wahlsystem, Wahlcode), politische und soziodemographische Kenndaten der Wahlbevölkerung, räumliche Ausbreitung und regionale Struktur der Wahlbezirke sowie die räumliche Verteilung und Strukturierung der Wahlbevölkerung. Als Wahlmuster wird die endgültige Repräsentation von Wahlergebnissen, i.d.R. in Tabellen- und Kartenform, betrachtet. Wahlmuster entstehen durch komplexe Interaktion der sozialen, wirtschaftlichen, juristischen und räumlichen Merkmale der Wahlbevölkerung zu einer bestimmten Zeit (Wahltag) in einem bestimmten Raum (Wahlgebiet). Für die Untersuchung der räumlichen und zeitlichen Dimension der Wahlmuster werden Methoden und Techniken der Geoinformationsverarbeitung eingesetzt. Die räumliche Dimension wird dabei in drei Merkmalsgruppen untersucht: Erstens, die Beziehungen zwischen Raum (Standort) und Wahlbevölkerung, wie sie sich in den demographischen, wirtschaftlichen und sozialen Kennwerten der Wahlbevölkerung manifestieren. Zweitens, die Interaktion zwischen Walbevölkerung und Wahl, die die Grundlage bildet, um regionale Kontexteffekte bei Wahlverhalten und Wahlergebnissen zu untersuchen. Drittens, die Verknüpfung von Wahlergebnissen und deren räumlichen Bezügen, wie sie sich in der stetigen Veränderung der Wahlkreisgrenzen niederschlägt. Um die genannten Merkmalsgruppen zu untersuchen, werden drei Variablengruppen gebildet: räumliche, unabhängige, abhängige Variablen. Ihre raumzeitlichen Interaktionen werden mittels zweier raumbezogener Modelle untersucht. Das graphikfreie Datenmodell wird in einem Geoinformationssystem erstellt und erlaubt die Strukturierung der Wahldaten. Dies bildet eine Voraussetzung für die nachfolgende räumliche Analyse. Das besondere Kennzeichen der Wahlmuster – eine mehrdimensionale Matrix der Variableninformation, die in unterschiedlichen, nicht aggregierbaren administrativen Raumbezugseinheiten vorliegt – behindert die räumliche Analyse der Originaldaten. Um dennoch räumliche Analysen durchzuführen, ist es erforderlich, den Raumbezug zu verändern bei gleichzeitiger Beibehaltung der thematischen Merkmale. Hierbei werden alle Wahldaten sowie die relevanten soziodemographischen Daten auf eine gemeinsame Raumbezugseinheit bezogen. Statt unterschiedlich administrativ abgegrenzter Raumeinheiten werden regelmäßige Rasterzellen gleicher Maschenweite als Raumbezugseinheiten definiert und den bisherigen, separaten Raummustern der Variablen überlagert. Auf diese Weise wird die räumliche Gleichverteilung aller Variablen in eine gemeinsame räumliche Bezugsbasis überführt, ohne dass die semantischen Merkmale verändert werden. Entsprechend dem Erfassungs- und Präsentationsmaßstab wurde eine Maschenweite von 0,5 km gewählt. Der hieraus resultierende feingranulare Raumgitter bildet die gemeinsame Basis für die nunmehr möglich integrierte räumliche Analyse aller Merkmalsgruppen. Die hier beschriebene rasterbasierte Raumanalyse stellt eine eingeführte Methode der GIS-basierten Geoinformationsverarbeitung dar. Sie wurde bislang jedoch selten zur Verarbeitung und Analyse von Wahldaten eingesetzt. Das mit dem Datenmodell korrespondierende graphikbezogene Visualisierungsmodell wird in einer Kartenkonstruktionsumgebung erstellt und erlaubt die fachgerechte kartographische Veranschaulichung ausgewählter Analyseergebnisse des Datenmodells. Daten- und Kartenmodell sind durch einen Datenfilter verknüpft, der die erforderliche Datenkonversion ermöglicht. Auf Basis des Visualisierungsmodells wurden zweiundfünfzig Kartenmodelle des Kartogramm- bzw. Kartodiagrammtyps erzeugt. Sie ermöglichen die vertiefte visuelle Exploration, Analyse und Interpretation der räumlichen Verteilung und Korrelation der untersuchten Wahldaten. Komplementär zum graphikfreien Datenmodell eröffnet das Visualisierungsmodell Fachwissenschaftlern, politischen Entscheidungsträgern und - in begrenztem Umfang – einer interessierten Öffentlichkeit einen intuitiven Erkenntniszugang zur den räumlichen Dimensionen, der regionalen Variation der Wahlergebnisse und den resultierenden raumgebundenen Wahlmustern. KW - Wahlen KW - Wahlmuster KW - räumliche Analyse KW - Visualisierungsmodell KW - Wahlverhalten KW - elections KW - electoral patterns KW - spatial analysis KW - geovisualization KW - voting behaviour Y1 - 2007 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-15923 ER - TY - JOUR A1 - Belina, Bernd T1 - Anglophones : If you want us to understand you, you will have to speak understandably! Y1 - 2005 SN - 0066-4812 ER - TY - JOUR A1 - Berndt, Christopher A1 - Yildirim, Cengiz A1 - Ciner, Attila A1 - Strecker, Manfred A1 - Ertunc, Gulgun A1 - Sarikaya, M. Akif A1 - Özcan, Orkan A1 - Ozturk, Tugba A1 - Kiyak, Nafiye Gunec T1 - Quaternary uplift of the northern margin of the Central Anatolian Plateau BT - New OSL dates of fluvial and delta-terrace deposits of the Kizilirmak River, Black Sea coast, Turkey JF - Quaternary science reviews : the international multidisciplinary research and review journal N2 - We analysed the interplay between coastal uplift, sea level change in the Black Sea, and incision of the Kizilirmak River in northern Turkey. These processes have created multiple co-genetic fluvial and marine terrace sequences that serve as excellent strain markers to assess the ongoing evolution of the Pontide orogenic wedge and the growth of the northern margin of the Central Anatolian Plateau. We used high-resolution topographic data, OSL ages, and published information on past sea levels to analyse the spatiotemporal evolution of these terraces; we derived a regional uplift model for the northward advancing orogenic wedge that supports the notion of laterally variable uplift rates along the flanks of the Pontides. The best-fit uplift model defines a constant long-term uplift rate of 0.28 +/- 0.07 m/ka for the last 545 ka. This model explains the evolution of the terrace sequence in light of active tectonic processes and superposed cycles of climate-controlled sea-level change. Our new data reveal regional uplift characteristics that are comparable to the inner sectors of the Central Pontides; accordingly, the rate of uplift diminishes with increasing distance from the main strand of the restraining bend of the North Anatolian Fault Zone (NAFZ). This spatial relationship between the regional impact of the restraining bend of the NAFZ and uplift of the Pontide wedge thus suggests a strong link between the activity of the NAFZ, deformation and uplift in the Pontide orogenic wedge, and the sustained lateral growth of the Central Anatolian Plateau flank. (C) 2018 Elsevier Ltd. All rights reserved. KW - Quaternary KW - OSL dating KW - Black Sea KW - Pontides KW - North Anatolian Fault Zone KW - Orogenic wedge KW - Kizilirmak River KW - MIS KW - Turkey Y1 - 2018 U6 - https://doi.org/10.1016/j.quascirev.2018.10.029 SN - 0277-3791 VL - 201 SP - 446 EP - 469 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Bernhardt, Anne A1 - Schwanghart, Wolfgang T1 - Where and why do submarine canyons remain connected to the shore during sea-level rise? BT - Insights from global topographic analysis and Bayesian regression JF - Geophysical research letters : GRL / American Geophysical Union N2 - The efficiency of sediment routing from land to the ocean depends on the position of submarine canyon heads with regard to terrestrial sediment sources. We aim to identify the main controls on whether a submarine canyon head remains connected to terrestrial sediment input during Holocene sea-level rise. Globally, we identified 798 canyon heads that are currently located at the 120m-depth contour (the Last Glacial Maximum shoreline) and 183 canyon heads that are connected to the shore (within a distance of 6 km) during the present-day highstand. Regional hotspots of shore-connected canyons are the Mediterranean active margin and the Pacific coast of Central and South America. We used 34 terrestrial and marine predictor variables to predict shore-connected canyon occurrence using Bayesian regression. Our analysis shows that steep and narrow shelves facilitate canyon-head connectivity to the shore. Moreover, shore-connected canyons occur preferentially along active margins characterized by resistant bedrock and high river-water discharge. KW - Bayesian statistics KW - headward erosion KW - seascape KW - shoreline KW - submarine KW - canyon KW - turbidity current Y1 - 2021 U6 - https://doi.org/10.1029/2020GL092234 SN - 0094-8276 SN - 1944-8007 VL - 48 IS - 10 PB - American Geophysical Union CY - Washington ER - TY - JOUR A1 - Bielcik, Milos A1 - Aguilar-Trigueros, Carlos A. A1 - Lakovic, Milica A1 - Jeltsch, Florian A1 - Rillig, Matthias C. T1 - The role of active movement in fungal ecology and community assembly JF - Movement Ecology N2 - Movement ecology aims to provide common terminology and an integrative framework of movement research across all groups of organisms. Yet such work has focused on unitary organisms so far, and thus the important group of filamentous fungi has not been considered in this context. With the exception of spore dispersal, movement in filamentous fungi has not been integrated into the movement ecology field. At the same time, the field of fungal ecology has been advancing research on topics like informed growth, mycelial translocations, or fungal highways using its own terminology and frameworks, overlooking the theoretical developments within movement ecology. We provide a conceptual and terminological framework for interdisciplinary collaboration between these two disciplines, and show how both can benefit from closer links: We show how placing the knowledge from fungal biology and ecology into the framework of movement ecology can inspire both theoretical and empirical developments, eventually leading towards a better understanding of fungal ecology and community assembly. Conversely, by a greater focus on movement specificities of filamentous fungi, movement ecology stands to benefit from the challenge to evolve its concepts and terminology towards even greater universality. We show how our concept can be applied for other modular organisms (such as clonal plants and slime molds), and how this can lead towards comparative studies with the relationship between organismal movement and ecosystems in the focus. KW - Filamentous fungi KW - Microbial community KW - Active movement KW - Modular organisms KW - Interference competition KW - Fungal space searching algorithms KW - Fungal foraging KW - Fungal highways KW - Clonal plants KW - Slime molds Y1 - 2019 U6 - https://doi.org/10.1186/s40462-019-0180-6 SN - 2051-3933 VL - 7 IS - 1 PB - BMC CY - London ER - TY - GEN A1 - Bilbao-Lasa, Peru A1 - Jara-Muñoz, Julius A1 - Pedoja, Kevin A1 - Álvarez, Irantzu A1 - Aranburu, Arantza A1 - Iriarte, Eneko A1 - Galparsoro, Ibon T1 - Submerged marine terraces identification and an approach for numerical modeling the sequence formation in the Bay of Biscay (Northeastern Iberian Peninsula) T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Submerged sequences of marine terraces potentially provide crucial information of past sea-level positions. However, the distribution and characteristics of drowned marine terrace sequences are poorly known at a global scale. Using bathymetric data and novel mapping and modeling techniques, we studied a submerged sequence of marine terraces in the Bay of Biscay with the objective to identify the distribution and morphologies of submerged marine terraces and the timing and conditions that allowed their formation and preservation. To accomplish the objectives a high-resolution bathymetry (5 m) was analyzed using Geographic Information Systems and TerraceM(R). The successive submerged terraces were identified using a Surface Classification Model, which linearly combines the slope and the roughness of the surface to extract fossil sea-cliffs and fossil rocky shore platforms. For that purpose, contour and hillshaded maps were also analyzed. Then, shoreline angles, a geomorphic marker located at the intersection between the fossil sea-cliff and platform, were mapped analyzing swath profiles perpendicular to the isobaths. Most of the submerged strandlines are irregularly preserved throughout the continental shelf. In summary, 12 submerged terraces with their shoreline angles between approximately: -13 m (T1), -30 and -32 m (T2), -34 and 41 m (T3), -44 and -47 m (T4), -49 and 53 m (T5), -55 and 58 m (T6), -59 and 62 m (T7), -65 and 67 m (T8), -68 and 70 m (T9), -74 and -77 m (T10), -83 and -86 m (T11) and -89 and 92 m (T12). Nevertheless, the ones showing the best lateral continuity and preservation in the central part of the shelf are T3, T4, T5, T7, T8, and T10. The age of the terraces has been estimated using a landscape evolution model. To simulate the formation and preservation of submerged terraces three different scenarios: (i) 20-0 ka; (ii) 128-0 ka; and (iii) 128-20 ka, were compared. The best scenario for terrace generation was between 128 and 20 Ka, where T3, T5, and T7 could have been formed. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1414 KW - marine terrace KW - submerged sequence KW - digital bathymetric model KW - TerraceM KW - numerical modeling KW - Bay of Biscay Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-517815 SN - 1866-8372 IS - 47 ER - TY - JOUR A1 - Bilbao-Lasa, Peru A1 - Jara-Muñoz, Julius A1 - Pedoja, Kevin A1 - Álvarez, Irantzu A1 - Aranburu, Arantza A1 - Iriarte, Eneko A1 - Galparsoro, Ibon T1 - Submerged marine terraces identification and an approach for numerical modeling the sequence formation in the Bay of Biscay (Northeastern Iberian Peninsula) JF - Frontiers in Earth Science N2 - Submerged sequences of marine terraces potentially provide crucial information of past sea-level positions. However, the distribution and characteristics of drowned marine terrace sequences are poorly known at a global scale. Using bathymetric data and novel mapping and modeling techniques, we studied a submerged sequence of marine terraces in the Bay of Biscay with the objective to identify the distribution and morphologies of submerged marine terraces and the timing and conditions that allowed their formation and preservation. To accomplish the objectives a high-resolution bathymetry (5 m) was analyzed using Geographic Information Systems and TerraceM(R). The successive submerged terraces were identified using a Surface Classification Model, which linearly combines the slope and the roughness of the surface to extract fossil sea-cliffs and fossil rocky shore platforms. For that purpose, contour and hillshaded maps were also analyzed. Then, shoreline angles, a geomorphic marker located at the intersection between the fossil sea-cliff and platform, were mapped analyzing swath profiles perpendicular to the isobaths. Most of the submerged strandlines are irregularly preserved throughout the continental shelf. In summary, 12 submerged terraces with their shoreline angles between approximately: -13 m (T1), -30 and -32 m (T2), -34 and 41 m (T3), -44 and -47 m (T4), -49 and 53 m (T5), -55 and 58 m (T6), -59 and 62 m (T7), -65 and 67 m (T8), -68 and 70 m (T9), -74 and -77 m (T10), -83 and -86 m (T11) and -89 and 92 m (T12). Nevertheless, the ones showing the best lateral continuity and preservation in the central part of the shelf are T3, T4, T5, T7, T8, and T10. The age of the terraces has been estimated using a landscape evolution model. To simulate the formation and preservation of submerged terraces three different scenarios: (i) 20-0 ka; (ii) 128-0 ka; and (iii) 128-20 ka, were compared. The best scenario for terrace generation was between 128 and 20 Ka, where T3, T5, and T7 could have been formed. KW - marine terrace KW - submerged sequence KW - digital bathymetric model KW - TerraceM KW - numerical modeling KW - Bay of Biscay Y1 - 2020 U6 - https://doi.org/10.3389/feart.2020.00047 SN - 2296-6463 VL - 8 IS - 47 SP - 1 EP - 20 PB - Frontiers Media CY - Lausanne ER - TY - JOUR A1 - Bindi, Dino A1 - Spallarossa, D. A1 - Picozzi, M. A1 - Scafidi, D. A1 - Cotton, Fabrice Pierre T1 - Impact of magnitude selection on aleatory variability associated with ground-motion prediction equations BT - Part I-Local, Energy, and Moment Magnitude Calibration and Stress-Drop Variability in Central Italy JF - Bulletin of the Seismological Society of America N2 - In this study, we analyzed 10 yrs of seismicity in central Italy from 2008 to 2017, a period witnessing more than 1400 earthquakes in the magnitude range 2.5≤Mw≤6.5⁠. The data set includes the main sequences that have occurred in the area, including those associated with the 2009 Mw 6.3 L'Aquila earthquake and the 2016–2017 sequence (⁠Mw 6.2 Amatrice, Mw 6.1 Visso, and Mw 6.5 Norcia earthquakes). We calibrated a local magnitude scale, investigating the impact of changing the reference distance at which the nonparametric attenuation is tied to the zero‐magnitude attenuation function for southern California. We also developed an attenuation model to compute the radiated seismic energy (⁠Es⁠) from the time integral of the squared ground‐motion velocity. Seismic moment (⁠M0⁠) and stress drop (⁠Δσ⁠) were estimated for each earthquake by fitting a ω‐square model to the source spectra obtained by applying a nonparametric spectral inversion. The Δσ‐values vary over three orders of magnitude from about 0.1 to 10 MPa, the larger values associated with the mainshocks. The Δσ‐values describe a lognormal distribution with mean and standard deviation equal to log(Δσ)=(−0.25±0.45) (i.e., the mean Δσ is 0.57 MPa, with a 95% confidence interval from 0.08 to 4.79 MPa). The Δσ variability introduces a spread in the distribution of seismic energy versus moment, with differences in energy up two orders of magnitudes for earthquakes with the same moment. The variability in the high‐frequency spectral levels is captured by the local magnitude (⁠ML⁠), which scales with radiated energy as ML=(−1.59+0.52logEs) for logEs≤10.26 and ML=(−1.38+0.50logEs) otherwise. As the peak ground velocity increases with increasing Δσ⁠, local and energy magnitudes perform better than moment magnitude as predictors for the shaking potential. The availability of different magnitude scales and source parameters for a large earthquake population will help characterize the between‐event ground‐motion variability in central Italy. Y1 - 2018 U6 - https://doi.org/10.1785/0120170356 SN - 0037-1106 SN - 1943-3573 VL - 108 IS - 3A SP - 1427 EP - 1442 PB - Seismological Society of America CY - Albany ER - TY - JOUR A1 - Blahušiaková, Andrea A1 - Röper-Kühnemann, Christian A1 - Staufenbiel, Christoph A1 - Vozárová, Hana T1 - Relating to students JF - Potsdamer geographische Praxis N2 - 1. The Assignment 'Devotion to Religion and acitive Citizenship' 2. The Assignment 'How are religious spread across Europe' 3. The Assignment 'Is football as important as religion?' 4. The Assignment 'Why be religious?' 5. The Assignment 'Lucky charms' 6. The Assignment 'No Creo en el Jamas' (Life after death) 7. The Assignment 'Religion and its influence on politics ans policies' 8. The Assignment 'Secularisation in Europe' 9. The Assignment 'The meaning of religious places' 10. The Assignment 'Unity in diversity' 11. Which conceptions did you find? KW - Europäische Werteerziehung KW - Familie KW - Lehrevaluation KW - Studierendenaustausch KW - Unterrichtseinheiten KW - Curriculum Framework KW - European values education KW - Family KW - lesson evaluation KW - student exchange KW - teaching units KW - curriculum framework Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-65769 SN - 2194-1599 SN - 2194-1602 IS - 1 SP - 25 EP - 31 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Bloschl, Günter A1 - Zehe, Erwin T1 - Invited commentary : on hydrological predictability Y1 - 2005 ER - TY - THES A1 - Blume, Theresa T1 - Hydrological processes in volcanic ash soils : measuring, modelling and understanding runoff generation in an undisturbed catchment T1 - Hydrologische Prozesse in vulkanischen Ascheböden : Messung, Modellierung und Verständnis der Abflussbildung in einem ungestörten Einzugsgebiet N2 - Streamflow dynamics in mountainous environments are controlled by runoff generation processes in the basin upstream. Runoff generation processes are thus a major control of the terrestrial part of the water cycle, influencing both, water quality and water quantity as well as their dynamics. The understanding of these processes becomes especially important for the prediction of floods, erosion, and dangerous mass movements, in particular as hydrological systems often show threshold behavior. In case of extensive environmental changes, be it in climate or in landuse, the understanding of runoff generation processes will allow us to better anticipate the consequences and can thus lead to a more responsible management of resources as well as risks. In this study the runoff generation processes in a small undisturbed catchment in the Chilean Andes were investigated. The research area is characterized by steep hillslopes, volcanic ash soils, undisturbed old growth forest and high rainfall amounts. The investigation of runoff generation processes in this data scarce area is of special interest as a) little is known on the hydrological functioning of the young volcanic ash soils, which are characterized by extremely high porosities and hydraulic conductivities, b) no process studies have been carried out in this area at either slope or catchment scale, and c) understanding the hydrological processes in undisturbed catchments will provide a basis to improve our understanding of disturbed systems, the shift in processes that followed the disturbance and maybe also future process evolution necessary for the achievement of a new steady state. The here studied catchment has thus the potential to serve as a reference catchment for future investigations. As no long term data of rainfall and runoff exists, it was necessary to replace long time series of data with a multitude of experimental methods, using the so called "multi-method approach". These methods cover as many aspects of runoff generation as possible and include not only the measurement of time series such as discharge, rainfall, soil water dynamics and groundwater dynamics, but also various short term measurements and experiments such as determination of throughfall amounts and variability, water chemistry, soil physical parameters, soil mineralogy, geo-electrical soundings and tracer techniques. Assembling the results like pieces of a puzzle produces a maybe not complete but nevertheless useful picture of the dynamic ensemble of runoff generation processes in this catchment. The employed methods were then evaluated for their usefulness vs. expenditures (labour and financial costs). Finally, the hypotheses - the perceptual model of runoff generation generated from the experimental findings - were tested with the physically based model Catflow. Additionally the process-based model Wasim-ETH was used to investigate the influence of landuse on runoff generation at the catchment scale. An initial assessment of hydrologic response of the catchment was achieved with a linear statistical model for the prediction of event runoff coefficients. The parameters identified as best predictors give a first indication of important processes. Various results acquired with the "multi-method approach" show that response to rainfall is generally fast. Preferential vertical flow is of major importance and is reinforced by hydrophobicity during the summer months. Rapid lateral water transport is necessary to produce the fast response signal, however, while lateral subsurface flow was observed at several soil moisture profiles, the location and type of structures causing fast lateral flow on the hillslope scale is still not clear and needs to be investigated in more detail. Surface runoff has not been observed and is unlikely due to the high hydraulic conductivities of the volcanic ash soils. Additionally, a large subsurface storage retains most of the incident rainfall amount during events (>90%, often even >95%) and produces streamflow even after several weeks of drought. Several findings suggest a shift in processes from summer to winter causing changes in flow patterns, changes in response of stream chemistry to rainfall events and also in groundwater-surface water interactions. The results of the modelling study confirm the importance of rapid and preferential flow processes. However, due to the limited knowledge on subsurface structures the model still does not fully capture runoff response. Investigating the importance of landuse on runoff generation showed that while peak runoff generally increased with deforested area, the location of these areas also had an effect. Overall, the "multi-method approach" of replacing long time series with a multitude of experimental methods was successful in the identification of dominant hydrological processes and thus proved its applicability for data scarce catchments under the constraint of limited resources. N2 - Die Abflussdynamik in Mittel- und Hochgebirgen wird durch die Abflussbildungsprozesse im Einzugsgebiet bestimmt. Diese Prozesse kontrollieren damit zu großen Teilen den terrestrischen Teil des Wasserkreislaufs und beeinflussen sowohl Wasserqualität als auch -quantität. Das Verständnis von Abflussbildungsprozessen ist besonders wichtig für die Vorhersage von Hochwasser, Erosion und Massenbewegungen (z.B. Erdrutsche) da hydrologische Systeme oft Schwellenwertverhalten aufweisen. Im Falle weit reichender Umweltveränderungen, wie z.B. Klima- oder Landnutzungsänderungen kann das Verständnis der Abflussbildungsprozesse ein verantwortungsvolleres Management sowohl der Ressourcen als auch der Risiken ermöglichen. In dieser Studie wurden die Abflussbildungsprozesse in einem kleinen, anthropogen unbeeinflussten Einzugsgebiet in den Chilenischen Anden untersucht. Das Untersuchungsgebiet ist durch steile Hänge, vulkanische Ascheböden, ungestörten Naturwald und hohe Niederschlagsmengen charakterisiert. Die Erforschung von Abflussbildungsprozessen ist hier von besonderem Interesse, da a) wenig über das hydrologische Verhalten der hochporösen und hochleitfähigen jungen Ascheböden bekannt ist, b) in dieser Region bisher keine Studien auf Hang- oder Einzugsgebietsskala durchgeführt wurden, und c) das Prozessverständnis in ungestörten Einzugsgebieten als Basis zum besseren Verständnis bereits anthropogen beeinflusster Gebiete dienen kann. Das hier untersuchte Gebiet hat daher das Potential zum Referenzgebiet für zukünftige Studien und Forschungsprojekte. Bedingt durch die Kürze der vorliegenden Abfluss- und Niederschlagszeitreihen war es nötig, den bestehenden Datenmangel durch eine Vielzahl von experimentellen Methoden und Ansätzen auszugleichen. Dieser Ansatz wird im Folgenden der "Multi-Methoden-Ansatz" genannt. Die ausgewählten Methoden sollten dabei so viele Aspekte der Abflussbildung abdecken wie möglich. Es wurden daher nicht nur Zeitreihen von Abfluss, Niederschlag, Bodenfeuchte- und Grundwasserdynamik gemessen, sondern auch eine große Zahl an Kurzzeitmessungen und Experimenten durchgeführt. Diese beinhalteten u.a. Messung des Bestandesniederschlags, Bestimmung der Wasserchemie, Bestimmung bodenphysikalischer Parameter und der Bodenmineralogie, sowie geophysikalische Messungen und Tracermethoden. Die Synthese der Resultate gleicht dem Zusammensetzen eines Puzzles. Das so entstandene Bild des dynamischen Prozess-Ensembles ist trotz möglicher fehlender Puzzlestücke hochinformativ. In einem nächsten Schritt wurden die ausgewählten Methoden im Hinblick auf Erkenntnisgewinn und Kosten (d.h. finanzielle Kosten und Arbeitszeit) evaluiert. Das durch die experimentellen Ergebnisse gewonnene Bild der Abflussbildung wurde anschließend mit Hilfe des physikalisch basierten Modells Catflow überprüft. Weiterhin wurde mit dem prozessbasierten Modell Wasim-ETH der Einfluss der Landnutzung auf die Abflussbildung auf Einzugsgebietsskala untersucht. Die Ergebnisse des "Multi-Methoden-Ansatzes" zeigen, dass die Abflussreaktion in diesem Gebiet sehr schnell erfolgt. Vertikales präferenzielles Fliessen ist hier von großer Bedeutung und wird in den Sommermonaten noch durch Hydrophobizitätseffekte verstärkt. Schneller lateraler Fluss im Untergrund ist eine weitere Vorraussetzung für die schnelle Reaktion des Abflusses (Oberflächenabfluss ist hier aufgrund der hohen hydraulischen Leitfähigkeiten unwahrscheinlich). Obwohl bei der Untersuchung der Bodenfeuchtedynamik in einigen Profilen laterale Fließmuster beobachtet wurden, ist die Art und Lage der Untergrundstrukturen, die auf der Hangskala schnellen lateralen Fluss verursachen, noch unklar und sollte genauer untersucht werden. Die Tatsache, dass bei Niederschlagsereignissen der Großteil der Niederschlagsmenge nicht zum Abfluss kommt (>90%, oft auch >95%), sowie der kontinuierliche Abfluss selbst nach Wochen der Trockenheit, lassen auf einen großen unterirdischen Speicher schließen. Der Wechsel von Winter (nass) zu Sommer (trocken) scheint Veränderungen im Prozess-Ensemble hervorzurufen, die sich in der Änderung von Fließmustern, von Grundwasser-Oberflächenwasser-Interaktionen, sowie veränderter Reaktion der Wasserchemie auf Niederschlagsereignisse beobachten ließ. Die Modellstudie bestätigte die Bedeutung der schnellen Fließwege. Als Folge von Informationsdefiziten über die Strukturen des Untergrunds ließ sich jedoch die Abflussbildung noch nicht vollständig reproduzieren. Die Untersuchung zur Bedeutung der Landnutzung für die Abflussbildung mit Hilfe eines Einzugsgebietsmodells zeigte die Zunahme der maximalen Abflüsse mit zunehmender Entwaldung. Weiterhin erwies sich auch die Lage der abgeholzten Flächen als ein wichtiger Faktor für die Abflussreaktion. Der "Multi-Methoden-Ansatz" lieferte wichtige Erkenntnisse zum Verständnis der Abflussbildungspozesse in den Anden Südchiles und zeigte sich als adäquates Mittel für hydrologische Prozess-Studien in datenarmen Gebieten. KW - Abflussbildungsprozesse KW - vulkanische Ascheböden KW - ungesättigte Zone KW - Chile KW - hydrological processes KW - data scarcity KW - volcanic ash soils KW - subsurface flow KW - Chile Y1 - 2008 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-16552 ER - TY - JOUR A1 - Blume, Theresa A1 - Bauer, Andreas A1 - Bronstert, Axel T1 - Experimental techniques for the Investigation of Runoff Processes in a Small Catchment in the Chilean Andes Y1 - 2004 SN - 3-937758-18-6 ER - TY - JOUR A1 - Blume, Theresa A1 - Schneider, Lisa A1 - Güntner, Andreas T1 - Comparative analysis of throughfall observations in six different forest stands BT - Influence of seasons, rainfall- and stand characteristics JF - Hydrological processes N2 - Throughfall, that is, the fraction of rainfall that passes through the forest canopy, is strongly influenced by rainfall and forest stand characteristics which are in turn both subject to seasonal dynamics. Disentangling the complex interplay of these controls is challenging, and only possible with long-term monitoring and a large number of throughfall events measured in parallel at different forest stands. We therefore based our analysis on 346 rainfall events across six different forest stands at the long-term terrestrial environmental observatory TERENO Northeast Germany. These forest stands included pure stands of beech, pine and young pine, and mixed stands of oak-beech, pine-beech and pine-oak-beech. Throughfall was overall relatively low, with 54-68% of incident rainfall in summer. Based on the large number of events it was possible to not only investigate mean or cumulative throughfall but also its statistical distribution. The distributions of throughfall fractions show distinct differences between the three types of forest stands (deciduous, mixed and pine). The distributions of the deciduous stands have a pronounced peak at low throughfall fractions and a secondary peak at high fractions in summer, as well as a pronounced peak at higher throughfall fractions in winter. Interestingly, the mixed stands behave like deciduous stands in summer and like pine stands in winter: their summer distributions are similar to the deciduous stands but the winter peak at high throughfall fractions is much less pronounced. The seasonal comparison further revealed that the wooden components and the leaves behaved differently in their throughfall response to incident rainfall, especially at higher rainfall intensities. These results are of interest for estimating forest water budgets and in the context of hydrological and land surface modelling where poor simulation of throughfall would adversely impact estimates of evaporative recycling and water availability for vegetation and runoff. KW - forest hydrology KW - forest stand characteristics KW - interception KW - leaf area KW - index KW - rainfall characteristics KW - seasonal effects KW - stratified event KW - analysis KW - throughfall KW - tree species effects Y1 - 2021 U6 - https://doi.org/10.1002/hyp.14461 SN - 0885-6087 SN - 1099-1085 VL - 36 IS - 3 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Blume, Theresa A1 - Weisbrod, N. A1 - Selker, J. S. T1 - On the critical salt concentrations for particle detachment in homogeneous sand and heterogeneous Hanford sediments N2 - One of the mechanisms for sudden particle release is a decrease in groundwater salt concentration to below the critical salt concentration (CSC), where repulsion forces between fine particles and matrix surfaces exceed binding forces. In this paper, an attempt was made to determine the CSC with both batch and column experiments. Two types of sediments were tested: (a) homogeneous quartz sand and (b) mineralogically heterogeneous sediment, taken from the Hanford formation in southeast Washington. Stepwise decreasing concentrations of NaNO3 solution were applied until fine particles were released from the sediments and the CSC was determined. Two methods were used to minimize the interference of particle release due to physical forces (shear stress) in the batch experiments: (a) postexperimental correction for mechanical effects, and (b) minimization of shear stress on the sediments during the experiment. CSCs from batch experiments were compared to those obtained from column experiments. It was found that both the amount of particles released and the CSC were an order of magnitude higher for the Hanford sediment than for the Sand. Moreover, particle detachment above the CSC was observed for the Hanford sediment. This suggests that the concept of sharp CSCs could be problematic in natural heterogeneous sediments where fine particles may mobilize at salt concentrations significantly above the CSC, thus unexpectedly enhancing colloid-facilitated transport of contaminants. (C) 2004 Elsevier B.V. All rights reserved Y1 - 2005 ER - TY - GEN A1 - Blume, Theresa A1 - Zehe, Erwin A1 - Bronstert, Axel T1 - Use of soil moisture dynamics and patterns at different spatio-temporal scales for the investigation of subsurface flow processes N2 - Spatial patterns as well as temporal dynamics of soil moisture have a major influence on runoff generation. The investigation of these dynamics and patterns can thus yield valuable information on hydrological processes, especially in data scarce or previously ungauged catchments. The combination of spatially scarce but temporally high resolution soil moisture profiles with episodic and thus temporally scarce moisture profiles at additional locations provides information on spatial as well as temporal patterns of soil moisture at the hillslope transect scale. This approach is better suited to difficult terrain (dense forest, steep slopes) than geophysical techniques and at the same time less cost-intensive than a high resolution grid of continuously measuring sensors. Rainfall simulation experiments with dye tracers while continuously monitoring soil moisture response allows for visualization of flow processes in the unsaturated zone at these locations. Data was analyzed at different spacio-temporal scales using various graphical methods, such as space-time colour maps (for the event and plot scale) and binary indicator maps (for the long-term and hillslope scale). Annual dynamics of soil moisture and decimeterscale variability were also investigated. The proposed approach proved to be successful in the investigation of flow processes in the unsaturated zone and showed the importance of preferential flow in the Malalcahuello Catchment, a datascarce catchment in the Andes of Southern Chile. Fast response times of stream flow indicate that preferential flow observed at the plot scale might also be of importance at the hillslope or catchment scale. Flow patterns were highly variable in space but persistent in time. The most likely explanation for preferential flow in this catchment is a combination of hydrophobicity, small scale heterogeneity in rainfall due to redistribution in the canopy and strong gradients in unsaturated conductivities leading to self-reinforcing flow paths. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - paper 125 KW - Repellent sandy soil KW - Poorly gauged catchment KW - Volcanic ash soils KW - Water repellency KW - Preferential flow Y1 - 2009 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-44924 ER - TY - JOUR A1 - Blumenstein, Oswald T1 - Geoecolocigal problems in the use of morphostructural features in the young moraine area SW Berlin Y1 - 1995 ER - TY - JOUR A1 - Blumenstein, Oswald T1 - First Results of Soil Investigation Y1 - 2001 ER - TY - JOUR A1 - Blumenstein, Oswald T1 - Preface Y1 - 2001 ER - TY - JOUR A1 - Blumenstein, Oswald T1 - Investigation of Environmental Quality and Social Structures in a Mining Area in the North West Province of South Africa Y1 - 2000 ER - TY - JOUR A1 - Blumenstein, Oswald A1 - Bukowsky, Heinz A1 - Kraudelt, Heide A1 - Cerovsky, D. T1 - First Results of Soil Investigations in a Mining Area of South Africa Y1 - 2001 ER - TY - JOUR A1 - Blumenstein, Oswald A1 - Van Rensburg, L. A1 - Krüger, Wolfgang A1 - Schachtzabel, Hartmut T1 - Preface Y1 - 2006 ER - TY - BOOK A1 - Blumenstein, Oswald A1 - Van Rensburg, L. A1 - Krüger, Wolfgang A1 - Schachtzabel, Hartmut T1 - Basics for modelling of heavy metal dynamics in tailing dam systems T3 - Stoffdynamik in Geosystemen Y1 - 2006 SN - 0949-4731 VL - 11 PB - Selbstverl. der Arbeitsgruppe Stoffdynamik in Geosystemen CY - Potsdam ER - TY - JOUR A1 - Boergens, Eva A1 - Güntner, Andreas A1 - Dobslaw, Henryk A1 - Dahle, Christoph T1 - Quantifying the Central European droughts in 2018 and 2019 with GRACE Follow-On JF - Geophysical research letters : GRL N2 - The GRACE-FO satellites launched in May 2018 are able to quantify the water mass deficit in Central Europe during the two consecutive summer droughts of 2018 and 2019. Relative to the long-term climatology, the water mass deficits were-112 +/- 10.5 Gt in 2018 and-145 +/- 12 Gt in 2019. These deficits are 73% and 94% of the mean amplitude of seasonal water storage variations, which is so severe that a recovery cannot be expected within 1 year. The water deficits in 2018 and 2019 are the largest in the whole GRACE and GRACE-FO time span. Globally, the data do not show an offset between the two missions, which proves the successful continuation of GRACE by GRACE-FO and thus the reliability of the observed extreme events in Central Europe. This allows for a joint assessment of the four Central European droughts in 2003, 2015, 2018, and 2019 in terms of total water storage deficits. KW - GRACE-FO KW - GRACE KW - drought KW - Central European drought 2018 KW - Central European drought 2019 Y1 - 2020 U6 - https://doi.org/10.1029/2020GL087285 SN - 0094-8276 SN - 1944-8007 VL - 47 IS - 14 PB - American Geophysical Union CY - Washington, DC ER - TY - JOUR A1 - Bolduan, Rainer A1 - Zehe, Erwin T1 - Degradation of isoproturon in earthworm macropores and subsoil matrix : a field study N2 - The objective is to compare the time scale of microbial degradation of the herbicide Isoproturon at the end of earthworm burrows with the time scale of microbial degradation in the surrounding soil matrix. To this end, we developed a method which allows the observation of microbial degradation on Isoproturon in macropores under field conditions. Study area was the well-investigated Weiherbach catchment (Kraichgau, SW Germany). The topsoil of a 12 m(2) large plot parcel was removed, the parcel was covered with a tent and instrumented with TDR and temperature sensors at two depths. After preliminary investigations to optimize application and sampling techniques, the bottom of 55 earthworm burrows, located at a depth of 80-100cm, was inoculated with Isoproturon. Within an interval of 8 d, soil material from the bottom of 5-6 earthworm burrows was taken into the laboratory and analyzed for the Isoproturon concentration for investigation of the degradation kinetics. Furthermore, the degradation of Isoproturon in the soil matrix, that surrounded the macropores at the field plot, was observed in the laboratory. Microbial degradation of Isoproturon at the bottom of the earthworm burrows was with a DT-50-value of 15.6 d almost as fast as in the topsoil. In the soil matrix that closely surrounded the center of the earthworm burrows, no measurable degradation was observed within 30 d. The clearly slower degradation in the soil matrix may be likely explained by a lower microbial activity that was observed in the surrounding soil matrix. The results give evidence that deterministic modeling of the fate of pesticides once transported into heterogeneous subsoils by preferential flow requires an accuracy of a few centimeters in terms of predicting spatial locations: time scales of microbial degradation in the subsoil drop almost one order of magnitude, in case the herbicides dislocates from the bottom of an earthworm burrow a few centimeter into the surrounding soil matrix. If at all, predictions of such an accuracy can only be achieved at locations at sites where the soil hydraulic properties and the macropore system are known at a very high spatial resolution Y1 - 2006 UR - http://www3.interscience.wiley.com/cgi-bin/jhome/10008342 U6 - https://doi.org/10.1002/jpin.200521754 SN - 1436-8730 ER - TY - JOUR A1 - Bora, Sanjay Singh A1 - Scherbaum, Frank A1 - Kühn, Nicolas A1 - Stafford, Peter T1 - Fourier spectral- and duration models for the generation of response spectra adjustable to different source-, propagation-, and site conditions JF - Bulletin of earthquake engineering : official publication of the European Association for Earthquake Engineering N2 - One of the major challenges related with the current practice in seismic hazard studies is the adjustment of empirical ground motion prediction equations (GMPEs) to different seismological environments. We believe that the key to accommodating differences in regional seismological attributes of a ground motion model lies in the Fourier spectrum. In the present study, we attempt to explore a new approach for the development of response spectral GMPEs, which is fully consistent with linear system theory when it comes to adjustment issues. This approach consists of developing empirical prediction equations for Fourier spectra and for a particular duration estimate of ground motion which is tuned to optimize the fit between response spectra obtained through the random vibration theory framework and the classical way. The presented analysis for the development of GMPEs is performed on the recently compiled reference database for seismic ground motion in Europe (RESORCE-2012). Although, the main motivation for the presented approach is the adjustability and the use of the corresponding model to generate data driven host-to-target conversions, even as a standalone response spectral model it compares reasonably well with the GMPEs of Ambraseys et al. (Bull Earthq Eng 3:1-53, 2005), Akkar and Bommer (Seismol Res Lett 81(2):195-206, 2010) and Akkar and Cagnan (Bull Seismol Soc Am 100(6):2978-2995, 2010). KW - Ground motion prediction equation KW - Fourier amplitude spectrum KW - Duration KW - Random vibration theory KW - Response Spectrum Y1 - 2014 U6 - https://doi.org/10.1007/s10518-013-9482-z SN - 1570-761X SN - 1573-1456 VL - 12 IS - 1 SP - 467 EP - 493 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Borg, Erik A1 - Fichtelmann, Bernd T1 - Land-water masks: basis for automated pre- and thematic processing of remote sensing data JF - Potsdamer Geographische Praxis N2 - Earth observation data have become an outstanding basis for analyzing environmental aspects. The increasing availability of remote sensing data is accompanied by an increasing user demand. Within the scope of the COOPERNICUS-initiative, the automatic processing of remote sensing data is important for supplying value- added-information products. The use of additional data like land-water-masks in the context of deriving value-added information products can stabilize and improve the product quality of information products. The authors of this contribution would like to discuss different automated processing algorithms which are based on land-water masks for value-added data interpretation. These developments were supported or accompanied by Prof. Hartmut Asche. Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-103454 SN - 978-3-86956-389-3 SN - 2194–1599 SN - 2194–1602 IS - 12 SP - 77 EP - 99 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Bork, Hans-Rudolf A1 - Darchow, Claus A1 - Schatz, Thomas A1 - Freilinghaus, Monika A1 - Höhn, Axel A1 - Schmidt, R. T1 - The Soil and Sediment Profile Bäckerweg in the Natural Reserve "Märkische Schweiz", east-Brandenburg, Germany Y1 - 1997 ER - TY - JOUR A1 - Bork, Hans-Rudolf A1 - Lavee, Hanoch A1 - Dalchow, Claus A1 - Bork, Helga T1 - Development of the western judean desert during the holocene Y1 - 1995 ER - TY - JOUR A1 - Bork, Hans-Rudolf A1 - Mieth, Andreas A1 - Tschochner, Bernd T1 - Nothing but stones? : a review of the extent and technical efforts of prehistoric stone mulching on Rapa Nui Y1 - 2004 ER - TY - JOUR A1 - Bormann, Helge A1 - de Brito, Mariana Madruga A1 - Charchousi, Despoina A1 - Chatzistratis, Dimitris A1 - David, Amrei A1 - Grosser, Paula Farina A1 - Kebschull, Jenny A1 - Konis, Alexandros A1 - Koutalakis, Paschalis A1 - Korali, Alkistis A1 - Krauzig, Naomi A1 - Meier, Jessica A1 - Meliadou, Varvara A1 - Meinhardt, Markus A1 - Munnelly, Kieran A1 - Stephan, Christiane A1 - de Vos, Leon Frederik A1 - Dietrich, Jörg A1 - Tzoraki, Ourania T1 - Impact of Hydrological Modellers’ Decisions and Attitude on the Performance of a Calibrated Conceptual Catchment Model BT - Results from a ‘Modelling Contest’ JF - Hydrology N2 - In this study, 17 hydrologists with different experience in hydrological modelling applied the same conceptual catchment model (HBV) to a Greek catchment, using identical data and model code. Calibration was performed manually. Subsequently, the modellers were asked for their experience, their calibration strategy, and whether they enjoyed the exercise. The exercise revealed that there is considerable modellers’ uncertainty even among the experienced modellers. It seemed to be equally important whether the modellers followed a good calibration strategy, and whether they enjoyed modelling. The exercise confirmed previous studies about the benefit of model ensembles: Different combinations of the simulation results (median, mean) outperformed the individual model simulations, while filtering the simulations even improved the quality of the model ensembles. Modellers’ experience, decisions, and attitude, therefore, have an impact on the hydrological model application and should be considered as part of hydrological modelling uncertainty. Y1 - 2018 U6 - https://doi.org/10.3390/hydrology5040064 SN - 2306-5338 VL - 5 IS - 4 PB - MDPI CY - Basel ER - TY - JOUR A1 - Bougeois, Laurie A1 - Dupont-Nivet, Guillaume A1 - de Rafelis, Marc A1 - Tindall, Julia C. A1 - Proust, Jean-Noel A1 - Reichart, Gert-Jan A1 - de Nooijer, Lennart J. A1 - Guo, Zhaojie A1 - Ormukov, Cholponbelk T1 - Asian monsoons and aridification response to Paleogene sea retreat and Neogene westerly shielding indicated by seasonality in Paratethys oysters JF - Earth and planetary science letters N2 - Asian climate patterns, characterised by highly seasonal monsoons and continentality, are thought to originate in the Eocene epoch (56 to 34 million years ago - Ma) in response to global climate, Tibetan Plateau uplift and the disappearance of the giant Proto-Paratethys sea formerly extending over Eurasia. The influence of this sea on Asian climate has hitherto not been constrained by proxy records despite being recognised as a major driver by climate models. We report here strongly seasonal records preserved in annual lamina of Eocene oysters from the Proto-Paratethys with sedimentological and numerical data showing that monsoons were not dampened by the sea and that aridification was modulated by westerly moisture sourced from the sea. Hot and arid summers despite the presence of the sea suggest a strong anticyclonic zone at Central Asian latitudes and an orographic effect from the emerging Tibetan Plateau. Westerly moisture precipitating during cold and wetter winters appear to have decreased in two steps. First in response to the late Eocene (34-37 Ma) sea retreat; second by the orogeny of the Tian Shan and Pamir ranges shielding the westerlies after 25 Ma. Paleogene sea retreat and Neogene westerly shielding thus provide two successive mechanisms forcing coeval Asian desertification and biotic crises. KW - Eocene monsoon KW - aridification KW - Paratethys sea KW - Central Asia KW - seasonality KW - bivalves Y1 - 2018 U6 - https://doi.org/10.1016/j.epsl.2017.12.036 SN - 0012-821X SN - 1385-013X VL - 485 SP - 99 EP - 110 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Braga, Brennda A1 - Anchieta de Carvalho, Thayslan Renato A1 - Brosinsky, Arlena A1 - Förster, Saskia A1 - Medeiros, Pedro Henrique Augusto T1 - From waste to resource BT - Cost-benefit analysis of reservoir sediment reuse for soil fertilization in a semiarid catchment JF - The science of the total environment : an international journal for scientific research into the environment and its relationship with man N2 - Reservoir networks have been established worldwide to ensure water supply, but water availability is endangered quantitatively and qualitatively by sedimentation. Reuse of sediment silted in reservoirs as fertilizer has been proposed, thus transforming nutrient-enriched sediments from waste into resource. The aim of this study is to assess the potential of reusing sediment as a nutrient source for agriculture a semiarid basin in Brazil. where 1029 reservoirs were identified. Sedimentation was modelled for the entire reservoir network, accounting for 7 x 10(5) tons of y(-1)sediment deposition. Nutrients contents in reservoir sediments was analysed and com- pared to nutrients contents of agricultural soils in the catchment. The potential of reusing sediment as fertilizer was assessed for maize crops (Zea mays L) and the sediment mass required to fertilize the soil was computed considering that the crop nitrogen requirement would be fully provided by the sediment. Economic feasibility was analysed by comparing the costs of the proposed practice to those obtained if the area was fertilized by traditional means. Results showed that, where reservoirs fall dry frequently and sediments can be removed by excavation, soil fertilization with sediment presents lower costs than those observed for application of commercial chemical fertilizers. Compared to conventional fertilization, when using sediments with high nutrient content, 25% of costs could be saved, while when using sediments with low nutrient content costs are 9% higher. According to the local conditions, sediments with nitrogen content above 1.5 g kg(-1) are cost efficient as nitrogen source. However, physical and chemical analyses are recommended to define the sediment mass to be used and to identify any constraint to the application of the practice, like the high sodium adsorption ratio observed in one of the studied reservoirs, which can contribute to soil salinization. (C) 2019 Elsevier B.V. All rights reserved. KW - Reservoir sedimentation KW - Sediment reuse KW - Fertilizer KW - Agriculture KW - Semiarid KW - Cost-benefit analysis Y1 - 2019 U6 - https://doi.org/10.1016/j.scitotenv.2019.03.083 SN - 0048-9697 SN - 1879-1026 VL - 670 SP - 158 EP - 169 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Braga, Brennda A1 - de Carvalho, Thayslan A1 - Brosinsky, Arlena A1 - Förster, Saskia A1 - Medeiros, Pedro Henrique Augusto T1 - Corrigendum to: From waste to resource: cost-benefit analysis of reservoir sediment reuse for soil fertilization in a semiarid catchment (The science of the total environment : an international journal for scientific research into the environment and its relationship with man. - 670 (2019), 20, S. 158 - 169) T2 - The science of the total environment : an international journal for scientific research into the environment and its relationship with man Y1 - 2019 U6 - https://doi.org/10.1016/j.scitotenv.2019.133844 SN - 0048-9697 SN - 1879-1026 VL - 696 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Brell, Maximilian A1 - Segl, Karl A1 - Guanter, Luis A1 - Bookhagen, Bodo T1 - 3D hyperspectral point cloud generation BT - Fusing airborne laser scanning and hyperspectral imaging sensors for improved object-based information extraction JF - ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing N2 - Remote Sensing technologies allow to map biophysical, biochemical, and earth surface parameters of the land surface. Of especial interest for various applications in environmental and urban sciences is the combination of spectral and 3D elevation information. However, those two data streams are provided separately by different instruments, namely airborne laser scanner (ALS) for elevation and a hyperspectral imager (HSI) for high spectral resolution data. The fusion of ALS and HSI data can thus lead to a single data entity consistently featuring rich structural and spectral information. In this study, we present the application of fusing the first pulse return information from ALS data at a sub-decimeter spatial resolution with the lower-spatial resolution hyperspectral information available from the HSI into a hyperspectral point cloud (HSPC). During the processing, a plausible hyperspectral spectrum is assigned to every first-return ALS point. We show that the complementary implementation of spectral and 3D information at the point-cloud scale improves object-based classification and information extraction schemes. This improvements have great potential for numerous land cover mapping and environmental applications. KW - Lidar KW - Multispectral point cloud KW - Laser return intensity KW - Unmixing KW - Sharpening KW - Imaging spectroscopy KW - In-flight KW - Pixel level KW - Sensor fusion KW - Data fusion KW - Preprocessing KW - Point cloud segmentation KW - Semantic labeling Y1 - 2019 U6 - https://doi.org/10.1016/j.isprsjprs.2019.01.022 SN - 0924-2716 SN - 1872-8235 VL - 149 SP - 200 EP - 214 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Brendel, Nina ED - Chang, Chew-Hung ED - Kidman, Gillian ED - Wi, Andy T1 - (How) do students reflect on sustainability? BT - a model to diagnose and foster reflective thinking about sustainability T2 - Issues in Teaching and Learning of Education for Sustainability N2 - The ability to reflect is considered an essential element of Education for Sustainable Development (ESD) and a key competence for learners and educators in ESD (UNECE Strategy for ESD, 2012). In contrast to its high importance, little is known about how reflective thinking can be identified, influenced or increased in the classroom. Therefore, the objective of this study is to address this need by developing an empirical multi-stage model designed to help educators diagnose different levels of reflective thinking and to identify factors that influence students’ reflective thinking about sustainability. Based on a 4–8-week project with grade 10 and 11 students studying sustainability, reflective thinking performance using weblogs as reflective journals was analysed. In addition, qualitative semi-structured interviews were conducted with the teachers to comprehend the learning environment and the personal value they assigned to ESD in their geography class. To determine the levels of reflective thinking achieved by the students, the study built on the work of Dewey (1933) and pre-existing multi-stage models of reflective thinking (Bain, Ballantyne, & Packer, 1999; Chen, Wei, Wu, & Uden, 2009). Using a qualitative, iterative data analysis, the study adapted the stage models to be applicable in ESD and found great differences in the students’ reflection levels. Furthermore, the study identified eight factors that influence students’ reflective thinking about sustainability. The outcomes of this study may be valuable for educators in high school and higher education, who seek to diagnose their students’ reflective thinking performance and facilitate reflection about sustainability. Y1 - 2019 SN - 978-0-429-45043-3 U6 - https://doi.org/10.4324/9780429450433 SP - 117 EP - 126 PB - Routledge CY - Abingdon ER - TY - JOUR A1 - Breuer, Lutz A1 - Bormann, Helge A1 - Bronstert, Axel A1 - Croke, Barry F. W. A1 - Frede, Hans-Georg A1 - Gräff, Thomas A1 - Hubrechts, Lode A1 - Kite, Geoffrey A1 - Lanini, Jordan A1 - Leavesley, George A1 - Lettenmaier, Dennis P. A1 - Lindstroem, Goeran A1 - Seibert, Jan A1 - Sivapalan, Mayuran A1 - Viney, Neil R. A1 - Willems, Patrick T1 - Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) III : scenario analysis N2 - An ensemble of 10 hydrological models was applied to the same set of land use change scenarios. There was general agreement about the direction of changes in the mean annual discharge and 90% discharge percentile predicted by the ensemble members, although a considerable range in the magnitude of predictions for the scenarios and catchments under consideration was obvious. Differences in the magnitude of the increase were attributed to the different mean annual actual evapotranspiration rates for each land use type. The ensemble of model runs was further analyzed with deterministic and probabilistic ensemble methods. The deterministic ensemble method based on a trimmed mean resulted in a single somewhat more reliable scenario prediction. The probabilistic reliability ensemble averaging (REA) method allowed a quantification of the model structure uncertainty in the scenario predictions. It was concluded that the use of a model ensemble has greatly increased our confidence in the reliability of the model predictions. Y1 - 2009 UR - http://www.sciencedirect.com/science/journal/03091708 U6 - https://doi.org/10.1016/j.advwatres.2008.06.009 SN - 0309-1708 ER - TY - JOUR A1 - Bricker, Jeremy D. A1 - Schwanghart, Wolfgang A1 - Adhikari, Basanta Raj A1 - Moriguchi, Shuji A1 - Roeber, Volker A1 - Giri, Sanjay T1 - Performance of Models for Flash Flood Warning and Hazard Assessment BT - the 2015 Kali Gandaki Landslide Dam Breach in Nepal JF - Mountain research and development N2 - The 2015 magnitude 7.8 Gorkha earthquake and its aftershocks weakened mountain slopes in Nepal. Co- and postseismic landsliding and the formation of landslide-dammed lakes along steeply dissected valleys were widespread, among them a landslide that dammed the Kali Gandaki River. Overtopping of the landslide dam resulted in a flash flood downstream, though casualties were prevented because of timely evacuation of low-lying areas. We hindcast the flood using the BREACH physically based dam-break model for upstream hydrograph generation, and compared the resulting maximum flow rate with those resulting from various empirical formulas and a simplified hydrograph based on published observations. Subsequent modeling of downstream flood propagation was compromised by a coarse-resolution digital elevation model with several artifacts. Thus, we used a digital-elevation-model preprocessing technique that combined carving and smoothing to derive topographic data. We then applied the 1-dimensional HEC-RAS model for downstream flood routing, and compared it to the 2-dimensional Delft-FLOW model. Simulations were validated using rectified frames of a video recorded by a resident during the flood in the village of Beni, allowing estimation of maximum flow depth and speed. Results show that hydrological smoothing is necessary when using coarse topographic data (such as SRTM or ASTER), as using raw topography underestimates flow depth and speed and overestimates flood wave arrival lag time. Results also show that the 2-dimensional model produces more accurate results than the 1-dimensional model but the 1-dimensional model generates a more conservative result and can be run in a much shorter time. Therefore, a 2-dimensional model is recommended for hazard assessment and planning, whereas a 1-dimensional model would facilitate real-time warning declaration. KW - Nepal KW - earthquake KW - landslide dam breach KW - flood KW - HEC-RAS KW - Delft-FLOW KW - steep mountain stream Y1 - 2017 U6 - https://doi.org/10.1659/MRD-JOURNAL-D-16-00043.1 SN - 0276-4741 SN - 1994-7151 VL - 37 IS - 1 SP - 5 EP - 15 PB - International Mountain Society CY - Lawrence ER - TY - JOUR A1 - Bronstert, Axel T1 - Rainfall-runoff modelling for assessing impacts of climate and land-use change Y1 - 2004 ER - TY - JOUR A1 - Bronstert, Axel T1 - Floods and climate change : interactions and impacts Y1 - 2003 SN - 0272-4332 ER - TY - JOUR A1 - Bronstert, Axel T1 - The role of infiltration conditions for storm runoff generation at the hillslope and small catchment scale Y1 - 2001 ER - TY - JOUR A1 - Bronstert, Axel T1 - The possible impacts of environmental changes on flood formation : relevant processes and model requirements Y1 - 2000 ER - TY - JOUR A1 - Bronstert, Axel A1 - Bardossy, Andras T1 - Uncertainty of runoff modelling at the hillslope scale due to temporal variations of rainfall intensity Y1 - 2003 ER - TY - BOOK A1 - Bronstert, Axel A1 - Carrera, Jesus A1 - Kabat, Pavel A1 - Lütkemeier, Sabine T1 - Coupled models for the hydrological cycle : integrating atmosphere, biosphere and pedosphere Y1 - 2005 SN - 3-540-22371-1 U6 - https://doi.org/10.1007/b138919 PB - Springer-Verlag Berlin Heidelberg CY - Berlin, Heidelberg ER - TY - CHAP A1 - Bronstert, Axel A1 - Crisologo, Irene A1 - Heistermann, Maik A1 - Öztürk, Ugur A1 - Vogel, Kristin A1 - Wendi, Dadiyorto T1 - Flash-floods: more often, more severe, more damaging? BT - An analysis of hydro-geo-environmental conditions and anthropogenic impacts T2 - Climate change, hazards and adaptation options: handling the impacts of a changing climate N2 - In recent years, urban and rural flash floods in Europe and abroad have gained considerable attention because of their sudden occurrence, severe material damages and even danger to life of inhabitants. This contribution addresses questions about possibly changing environmental conditions which might have altered the occurrence frequencies of such events and their consequences. We analyze the following major fields of environmental changes. Altered high intensity rain storm conditions, as a consequence of regionalwarming; Possibly altered runoff generation conditions in response to high intensity rainfall events; Possibly altered runoff concentration conditions in response to the usage and management of the landscape, such as agricultural, forest practices or rural roads; Effects of engineering measures in the catchment, such as retention basins, check dams, culverts, or river and geomorphological engineering measures. We take the flash-flood in Braunsbach, SW-Germany, as an example, where a particularly concise flash flood event occurred at the end of May 2016. This extreme cascading natural event led to immense damage in this particular village. The event is retrospectively analyzed with regard to meteorology, hydrology, geomorphology and damage to obtain a quantitative assessment of the processes and their development. The results show that it was a very rare rainfall event with extreme intensities, which in combination with catchment properties and altered environmental conditions led to extreme runoff, extreme debris flow and immense damages. Due to the complex and interacting processes, no single flood cause can be identified, since only the interplay of those led to such an event. We have shown that environmental changes are important, but-at least for this case study-even natural weather and hydrologic conditions would still have resulted in an extreme flash flood event. KW - Flash flood KW - Climate change KW - Extreme rainfall KW - Anthropogenic impacts Y1 - 2020 SN - 978-3-030-37425-9 SN - 978-3-030-37424-2 U6 - https://doi.org/10.1007/978-3-030-37425-9_12 SN - 1610-2010 SP - 225 EP - 244 PB - Springer CY - Cham ER - TY - JOUR A1 - Bronstert, Axel A1 - Fritsch, Uta A1 - Katzenmaier, Daniel A1 - Bismuth, Christine T1 - Quantification of the influence of the land-surface and river training on flood discharge of the Rhine Basin Y1 - 2000 ER - TY - JOUR A1 - Bronstert, Axel A1 - Güntner, Andreas T1 - A large-scale hydrological model for the semi-arid environment of north-eastern Brazil Y1 - 2000 ER - TY - JOUR A1 - Bronstert, Axel A1 - Krol, Marten S. A1 - Jaeger, Annekathrin T1 - WAVES : water availability, vulnerability of ecosystems and society in northeast brazil ; an overview of the interdisciplinary project and integrated modelling Y1 - 2000 ER - TY - JOUR A1 - Bronstert, Axel A1 - Krol, Marten S. A1 - Jaeger, Annekathrin A1 - Güntner, Andreas T1 - Integrated modelling of climate, water, soil, agricultural and socio-economic processes : a general introduction to the methodology and some exemplary results from the semi-arid Northeast of Brazil Y1 - 2002 ER - TY - JOUR A1 - Bronstert, Axel A1 - Kundzewicz, Zbigniew W. A1 - Menzel, Lucas T1 - Achievements and future needs towards improved flood protection in the Oder river basin : results of the EU- expert meeting on the Oder flood in Summer '97 Y1 - 2000 SN - 0-7923-6451-1, 0-7923-6452-X ER - TY - JOUR A1 - Bronstert, Axel A1 - Menzel, Lucas T1 - Advances in Flood Research Y1 - 2002 ER - TY - JOUR A1 - Bronstert, Axel A1 - Menzel, Lucas A1 - Middelkoop, H. A1 - de Roo, A. P. A1 - Van Beek, E. T1 - River basin research and management : integrated modelling and investigation of land-use impacts on the hydrological cycle Y1 - 2001 ER - TY - JOUR A1 - Bronstert, Axel A1 - Niehoff, Daniel A1 - Bürger, Gerd T1 - Effects of climate and land-use change on storm runoff generation : present knowledge and modelling capabilities Y1 - 2002 ER - TY - JOUR A1 - Brooks, Clare T1 - The EVE curriculum framework BT - developments on the second phase JF - Potsdamer geographische Praxis N2 - 1. Evaluations 2. Main changes to the curriculum Framework 3. Looking Forwards KW - Europäische Werteerziehung KW - Familie KW - Lehrevaluation KW - Studierendenaustausch KW - Unterrichtseinheiten KW - Curriculum Framework KW - European values education KW - Family KW - lesson evaluation KW - student exchange KW - teaching units KW - curriculum framework Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-66128 SN - 2194-1599 SN - 2194-1602 IS - 1 SP - 17 EP - 20 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Brooks, Clare T1 - The EVE curriculum framework BT - the third instalment JF - Potsdamer geographische Praxis N2 - 1. The new approach 2. Changes to the Curriculum Framework KW - Europäische Werteerziehung KW - Familie KW - Lehrevaluation KW - Studierendenaustausch KW - Unterrichtseinheiten KW - Curriculum Framework KW - European values education KW - Family KW - lesson evaluation KW - student exchange KW - teaching units KW - curriculum framework Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-65918 SN - 2194-1599 SN - 2194-1602 IS - 3 SP - 23 EP - 27 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Bryant, Seth A1 - Davies, Evan A1 - Sol, David A1 - Davis, Sandy T1 - The progression of flood risk in southern Alberta since the 2013 flood JF - Journal of flood risk management N2 - After a century of semi-restricted floodplain development, Southern Alberta, Canada, was struck by the devastating 2013 Flood. Aging infrastructure and limited property-level floodproofing likely contributed to the $4-6 billion (CAD) losses. Following this catastrophe, Alberta has seen a revival in flood management, largely focused on structural protections. However, concurrent with the recent structural work was a 100,000+ increase in Calgary's population in the 5 years following the flood, leading to further densification of high-hazard areas. This study implements the novel Stochastic Object-based Flood damage Dynamic Assessment (SOFDA) model framework to quantify the progression of the direct-damage flood risk in a mature urban neighborhood after the 2013 Flood. Five years of remote-sensing data, property assessment records, and inundation simulations following the flood are used to construct the model. Results show that in these 5 years, vulnerability trends (like densification) have increased flood risk by 4%; however, recent structural mitigation projects have reduced overall flood risk by 47% for this case study. These results demonstrate that the flood management revival in Southern Alberta has largely been successful at reducing flood risk; however, the gains are under threat from continued development and densification absent additional floodproofing regulations. KW - Calgary KW - depth-damage functions KW - expected annual damages KW - flood risk KW - model KW - property level protection measures KW - risk analysis KW - risk dynamics Y1 - 2022 U6 - https://doi.org/10.1111/jfr3.12811 SN - 1753-318X VL - 15 IS - 3 PB - Wiley-Blackwell CY - Oxford ER - TY - JOUR A1 - Bubeck, Philip A1 - Berghäuser, Lisa A1 - Hudson, Paul A1 - Thieken, Annegret T1 - Using panel data to understand the dynamics of human behavior in response to flooding JF - Risk analysis : an international journal N2 - Insights into the dynamics of human behavior in response to flooding are urgently needed for the development of effective integrated flood risk management strategies, and for integrating human behavior in flood risk modeling. However, our understanding of the dynamics of risk perceptions, attitudes, individual recovery processes, as well as adaptive (i.e., risk reducing) intention and behavior are currently limited because of the predominant use of cross-sectional surveys in the flood risk domain. Here, we present the results from one of the first panel surveys in the flood risk domain covering a relatively long period of time (i.e., four years after a damaging event), three survey waves, and a wide range of topics relevant to the role of citizens in integrated flood risk management. The panel data, consisting of 227 individuals affected by the 2013 flood in Germany, were analyzed using repeated-measures ANOVA and latent class growth analysis (LCGA) to utilize the unique temporal dimension of the data set. Results show that attitudes, such as the respondents' perceived responsibility within flood risk management, remain fairly stable over time. Changes are observed partly for risk perceptions and mainly for individual recovery and intentions to undertake risk-reducing measures. LCGA reveal heterogeneous recovery and adaptation trajectories that need to be taken into account in policies supporting individual recovery and stimulating societal preparedness. More panel studies in the flood risk domain are needed to gain better insights into the dynamics of individual recovery, risk-reducing behavior, and associated risk and protective factors. KW - adaptation behavior KW - floods KW - individual recovery KW - LCGA KW - panel data Y1 - 2020 U6 - https://doi.org/10.1111/risa.13548 SN - 0272-4332 SN - 1539-6924 VL - 40 IS - 11 SP - 2340 EP - 2359 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Bubeck, Philip A1 - Dillenardt, Lisa A1 - Alfieri, Lorenzo A1 - Feyen, Luc A1 - Thieken, Annegret A1 - Kellermann, Patric T1 - Global warming to increase flood risk on European railways JF - Climatic change : an interdisciplinary, intern. journal devoted to the description, causes and implications of climatic change N2 - For effective disaster risk management and adaptation planning, a good understanding of current and projected flood risk is required. Recent advances in quantifying flood risk at the regional and global scale have largely neglected critical infrastructure, or addressed this important sector with insufficient detail. Here, we present the first European-wide assessment of current and future flood risk to railway tracks for different global warming scenarios using an infrastructure-specific damage model. We find that the present risk, measured as expected annual damage, to railway networks in Europe is approx. (sic)581 million per year, with the highest risk relative to the length of the network in North Macedonia, Croatia, Norway, Portugal, and Germany. Based on an ensemble of climate projections for RCP8.5, we show that current risk to railway networks is projected to increase by 255% under a 1.5 degrees C, by 281% under a 2 degrees C, and by 310% under a 3 degrees C warming scenario. The largest increases in risk under a 3 degrees C scenario are projected for Slovakia, Austria, Slovenia, and Belgium. Our advances in the projection of flood risk to railway infrastructure are important given their criticality, and because losses to public infrastructure are usually not insured or even uninsurable in the private market. To cover the risk increase due to climate change, European member states would need to increase expenditure in transport by (sic)1.22 billion annually under a 3 degrees C warming scenario without further adaptation. Limiting global warming to the 1.5 degrees C goal of the Paris Agreement would result in avoided losses of (sic)317 million annually. Y1 - 2019 U6 - https://doi.org/10.1007/s10584-019-02434-5 SN - 0165-0009 SN - 1573-1480 VL - 155 IS - 1 SP - 19 EP - 36 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Bubeck, Philip A1 - Thieken, Annegret T1 - What helps people recover from floods? BT - insights from a survey among flood-affected residents in German JF - Regional environmental change N2 - The number of people exposed to natural hazards has grown steadily over recent decades, mainly due to increasing exposure in hazard-prone areas. In the future, climate change could further enhance this trend. Still, empirical and comprehensive insights into individual recovery from natural hazards are largely lacking, hampering efforts to increase societal resilience. Drawing from a sample of 710 residents affected by flooding across Germany in June 2013, we empirically explore a wide range of variables possibly influencing self-reported recovery, including flood-event characteristics, the circumstances of the recovery process, socio-economic characteristics, and psychological factors, using multivariate statistics. We found that the amount of damage and other flood-event characteristics such as inundation depth are less important than socio-economic characteristics (e.g., sex or health status) and psychological factors (e.g., risk aversion and emotions). Our results indicate that uniform recovery efforts focusing on areas that were the most affected in terms of physical damage are insufficient to account for the heterogeneity in individual recovery results. To increase societal resilience, aid and recovery efforts should better address the long-term psychological effects of floods. KW - Floods KW - Resilience KW - Recovery KW - Natural hazards KW - Climate change KW - Adaptation Y1 - 2017 U6 - https://doi.org/10.1007/s10113-017-1200-y SN - 1436-3798 SN - 1436-378X VL - 18 IS - 1 SP - 287 EP - 296 PB - Springer CY - Heidelberg ER - TY - JOUR A1 - Burkart, Michael A1 - Itzerott, Sibylle A1 - Zebisch, Marc T1 - Classification of vegetation by chronosequences of NDVI from remote sensing and field data : the example of Uvs Nuur basin Y1 - 2000 ER - TY - JOUR A1 - Bustamante Duarte, Ana Maria A1 - Brendel, Nina A1 - Degbelo, Auriol A1 - Kray, Christian T1 - Participatory design and participatory research BT - an HCI case study with young forced migrants JF - ACM transactions on computer human interaction : TOCHI / Association for Computing Machinery N2 - Participatory design (PD) in HCI has been successfully applied to vulnerable groups, but further research is still needed on forced migrants. We report on a month-long case study with a group of about 25 young forced migrants (YFMs), where we applied and adapted strategies from PD and participatory research (PR). We gained insights into the benefits and drawbacks of combining PD and PR concepts in this particular scenario. The PD+PR approach supported intercultural collaborations between YFMs and young members of the host community. It also enabled communication across language barriers by using visual and “didactic reduction” resources. On a theoretical level, the experiences we gained allowed us to reflect on the role of “safe spaces” for participation and the need for further discussing it in PD. Our results can benefit researchers who take part in technology-related participatory processes with YFMs. KW - Vulnerable communities KW - forced migrants KW - participatory research Y1 - 2018 U6 - https://doi.org/10.1145/3145472 SN - 1073-0516 SN - 1557-7325 VL - 25 IS - 1 SP - 1 EP - 39 PB - Association for Computing Machinery CY - New York ER - TY - JOUR A1 - Bárdossy, Andras A1 - Bronstert, Axel A1 - Buiteveld, Hendrik A1 - Disse, Markus A1 - Fritsch, Uta A1 - Katzenmaier, Daniel A1 - Lammersen, Rita T1 - Influence of the land surface and river training on flood conditions in the Rhine basin Y1 - 2000 ER - TY - THES A1 - Böttle, Markus T1 - Coastal floods in view of sea level rise T1 - Küstenfluten im Hinblick auf steigende Meeresspiegel BT - assessing damage costs and adaptation measures BT - Abschätzung von Schadenskosten und Anpassungsmaßnahmen N2 - The sea level rise induced intensification of coastal floods is a serious threat to many regions in proximity to the ocean. Although severe flood events are rare they can entail enormous damage costs, especially when built-up areas are inundated. Fortunately, the mean sea level advances slowly and there is enough time for society to adapt to the changing environment. Most commonly, this is achieved by the construction or reinforcement of flood defence measures such as dykes or sea walls but also land use and disaster management are widely discussed options. Overall, albeit the projection of sea level rise impacts and the elaboration of adequate response strategies is amongst the most prominent topics in climate impact research, global damage estimates are vague and mostly rely on the same assessment models. The thesis at hand contributes to this issue by presenting a distinctive approach which facilitates large scale assessments as well as the comparability of results across regions. Moreover, we aim to improve the general understanding of the interplay between mean sea level rise, adaptation, and coastal flood damage. Our undertaking is based on two basic building blocks. Firstly, we make use of macroscopic flood-damage functions, i.e. damage functions that provide the total monetary damage within a delineated region (e.g. a city) caused by a flood of certain magnitude. After introducing a systematic methodology for the automatised derivation of such functions, we apply it to a total of 140 European cities and obtain a large set of damage curves utilisable for individual as well as comparative damage assessments. By scrutinising the resulting curves, we are further able to characterise the slope of the damage functions by means of a functional model. The proposed function has in general a sigmoidal shape but exhibits a power law increase for the relevant range of flood levels and we detect an average exponent of 3.4 for the considered cities. This finding represents an essential input for subsequent elaborations on the general interrelations of involved quantities. The second basic element of this work is extreme value theory which is employed to characterise the occurrence of flood events and in conjunction with a damage function provides the probability distribution of the annual damage in the area under study. The resulting approach is highly flexible as it assumes non-stationarity in all relevant parameters and can be easily applied to arbitrary regions, sea level, and adaptation scenarios. For instance, we find a doubling of expected flood damage in the city of Copenhagen for a rise in mean sea levels of only 11 cm. By following more general considerations, we succeed in deducing surprisingly simple functional expressions to describe the damage behaviour in a given region for varying mean sea levels, changing storm intensities, and supposed protection levels. We are thus able to project future flood damage by means of a reduced set of parameters, namely the aforementioned damage function exponent and the extreme value parameters. Similar examinations are carried out to quantify the aleatory uncertainty involved in these projections. In this regard, a decrease of (relative) uncertainty with rising mean sea levels is detected. Beyond that, we demonstrate how potential adaptation measures can be assessed in terms of a Cost-Benefit Analysis. This is exemplified by the Danish case study of Kalundborg, where amortisation times for a planned investment are estimated for several sea level scenarios and discount rates. N2 - Viele Regionen in Küstennähe sehen sich durch den Anstieg des mittleren Meeresspiegels einer erhöhten Hochwassergefahr ausgesetzt und die zunehmende Intensität extremer Flutereignisse stellt eine ernstzunehmende Bedrohung dar. Vor allem bei der Überschwemmung bebauter Gebiete können die resultierenden Schäden ein gewaltiges Ausmaß erreichen. Glücklicherweise steigt der mittlere Meeresspiegel langsam und es bleibt ausreichend Zeit sich an die verändernden Umweltbedingungen anzupassen. Dies geschieht üblicherweise durch den Bau oder die Verstärkung von Hochwasserschutzmaßnahmen wie z. B. Deichen oder Ufermauern aber auch angepasste Raumplanung und Katastrophenschutz sind vieldiskutierte Lösungsansätze. Obwohl die Folgenabschätzung des Meeresspiegelanstieges und die Entwicklung von entsprechenden Antwortstrategien zu den bedeutendsten Themen der Klimafolgenforschung gehören, bleiben globale Schadensschätzungen vage und stützen größtenteils auf den gleichen, wenigen Bewertungsmodellen. Diesem Umstand wollen wir mit der vorliegenden Arbeit Rechnung tragen und präsentieren einen eigenen Ansatz, der sowohl großskalige Abschätzungen als auch überregionale Vergleichbarkeit ermöglicht. Darüber hinaus leisten wir einen Beitrag zum allgemeinen Verständnis des Zusammenspiels zwischen dem mittleren Meeresspiegel, Anpassungsmaßnahmen und Flutschäden. Unser Vorhaben basiert auf zwei Grundbausteinen. Zum einen sind das makroskopische Flutschadensfunktionen, d. h. Schadensfunktionen zur Bestimmung des gesamten monetären Schadens in einem vorgegebenen Gebiet (z. B. einer Stadt) der durch eine Flut gewissen Ausmaßes verursacht wird. Dazu stellen wir einen systematischen Ansatz zur automatisierten Ermittlung solcher Kurven vor und bestimmen damit die Schadensfunktionen für 140 europäische Städte. Diese können sowohl für individuelle Schadensabschätzungen als auch für vergleichende, überregionale Studien herangezogen werden. Darüber hinaus ermöglicht die große Anzahl an Kurven eine grundlegende Charakterisierung des Anstieges der Schadensfunktion mit Hilfe eines funktionalen Modells. Das vorgeschlagene Modell ist im Allgemeinen s-förmig, weist jedoch für die relevanten Fluthöhen einen potenzgesetzartigen Anstieg auf und wir erhalten für die untersuchten Städte einen durchschnittlichen Exponenten von 3,4. Zur späteren Beschreibung der allgemeinen Zusammenhänge aller beteiligten Größen ist dieses Ergebnis von entscheidender Bedeutung. Der zweite grundlegende Baustein dieser Arbeit ist die Extremwerttheorie mittels derer wir das Auftreten von Flutereignissen schätzen und die in Verbindung mit einer Schadensfunktion die Wahrscheinlichkeitsverteilung der auftretenden Schäden im untersuchten Gebiet liefert. Da alle relevanten Parameter als variabel angenommen werden, bietet der beschriebene Ansatz größtmögliche Flexibilität und lässt sich auf beliebige Regionen anwenden. In Kopenhagen, beispielsweise, stellen wir bei einem Anstieg des mittleren Meeresspiegels von lediglich 11 cm bereits eine Verdopplung des jährlichen, zu erwarteten Schadens fest. Des Weiteren gelingt es uns, allgemeingültige funktionale Beziehungen zwischen den erwarteten Flutschäden und dem mittleren Meeresspiegel, sich verändernden Sturmbedingungen, sowie vorhandenen Schutzhöhen abzuleiten. Damit sind wir in der Lage, zukünftige Flutschäden auf Grundlage nur weniger Parameter zu schätzen: dem bereits erwähnten Exponenten der Schadensfuntion sowie den Extremwertparametern. Ähnliche Untersuchungen stellen wir zur Quantifizierung der aleatorischen Unsicherheit dieser Schätzungen an, wobei wir unter anderem einen Rückgang der Unsicherheit mit steigendem Meeresspiegel feststellen. Schlussendlich zeigen wir wie potenzielle Anpassungsmaßnahmen mit Hilfe einer Kosten-Nutzen-Analyse bewertet werden können. Dies wird anhand der dänischen Fallstudie Kalundborg veranschaulicht, für die wir die Amortisierungszeiten einer geplanten Investition für verschiedene Meeresspiegelszenarien und Diskontierungsraten untersuchen. KW - sea-level rise KW - flood damage KW - coastal flooding KW - Küstenfluten KW - Extremereignisse KW - Flutschäden KW - Meeresspiegelanstieg KW - Klimaanpassung Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-91074 ER -