@phdthesis{Krause2005,
  author    = {Krause, Stefan},
  title     = {Untersuchung und Modellierung von Wasserhaushalt und Stofftransportprozessen in grundwassergepr{\"a}gten Landschaften am Beispiel der Unteren Havel},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-3487},
  school      = {Universit{\"a}t Potsdam},
  year      = {2005},
  abstract  = {Das Ziel dieser Arbeit ist die Untersuchung der Wasserhaushaltsprozesse und Stofftransportvorg{\"a}nge innerhalb der grundwassergepr{\"a}gten Talauenlandschaften von Tieflandeinzugsgebieten am Beispiel der im Nordostdeutschen Tiefland gelegenen Havel. Die Arbeiten in verschieden skaligen Teileinzugsgebieten der Havel besch{\"a}ftigen sich dabei zum einen mit der experimentellen Untersuchung und vorrangig qualitativen Beschreibung der Wasserhaushaltsdynamik, zum anderen mit der Entwicklung eines zur quantitativen Analyse von Wasserhaushalts- und Stofftransportprozessen geeigneten Modells und der anschließenden Modellsimulation von Wasserhaushalt und Stickstoffmetabolik im Grundwasser sowie der Simulation von Landnutzungs- und Gew{\"a}sserstrukturszenarien. F{\"u}r die experimentelle Untersuchung der Abflussbildung und der Wasserhaushaltsprozesse in den Talauenlandschaften des Haveleinzugsgebiets wurde Einzugsgebiet der \&\#8221;Unteren Havel Niederung\&\#8220; ein umfangreiches Messnetz installiert. Dabei wurden an mehreren Messstationen und Pegeln meteorologische Parameter, Bodenfeuchte sowie Grundwasserst{\"a}nde und Abfl{\"u}sse beobachtet. Die Analyse der Messergebnisse f{\"u}hrte zu einem verbesserten Verst{\"a}ndnis von Wasserhaushaltsprozessen in der durch das oberfl{\"a}chennahe Grundwasser und die Oberfl{\"a}chengew{\"a}sserdynamik beeinflussten Talauenzone. Dar{\"u}ber hinaus konnten durch die Implementierung der Messergebnisse konsistente Anfangs- und Randbedingungen f{\"u}r die Wasserhaushalts- und Grundwassermodellierung im Modellkonzept IWAN realisiert werden. Mit dem Modell IWAN (Integrated Modelling of Water Balance and Nutrient Dynamics) wurde ein Werkzeug geschaffen, welches die Ber{\"u}cksichtigung spezifischer hydrologischer Eigenschaften von Tieflandauen, wie z. B. den Einfluss des oberfl{\"a}chennahen Grundwassers bzw. der Dynamik von Oberfl{\"a}chenwasserst{\"a}nden auf den Wasserhaushalt, erm{\"o}glicht. Es basiert auf der Kopplung des deterministischen distribuierten hydrologischen Modells WASIM-ETH mit dem dreidimensionalen Finite-Differenzen-basierten Grundwassermodel MODFLOW. Die Modellierung der Stickstoffmetabolik im Grundwasser erfolgt durch das mit Grundwassermodell gekoppelte Stofftransportmodel MT3D. Zur modellbasierten Simulation des Wasserhaushalts der Tieflandauenlandschaften wurde das Modellkonzept IWAN f{\"u}r verschieden skalige Teileinzugsgebiete an der Havel f{\"u}r Simulationszeitr{\"a}ume von 2 Wochen bis zu 13 Jahren angewandt. Dabei wurden die Teilmodelle f{\"u}r Wasserhaushalts- und Grundwassermodellierung in zwei unterschiedlichen Teileinzugsgebieten der \&\#8221;Unteren Havel Niederung\&\#8220; kalibriert. Die anschließende Validierung erfolgte f{\"u}r das gesamte Einzugsgebiet der \&\#8221;Unteren Havel\&\#8220;. Die Unsicherheiten des Modellansatzes sowie die Anwendbarkeit des Modells im Untersuchungsraum wurden gepr{\"u}ft und die Limitierung der {\"U}bertragbarkeit auf andere grundwasserbeeinflusste Tieflandeinzugsgebiete analysiert. Die Ergebnisse der Wasserhaushaltssimulationen f{\"u}hren einerseits zum erweiterten Prozessverst{\"a}ndnis des Wasserhaushalts in Flachlandeinzugsgebieten, andererseits erm{\"o}glichten sie durch die Quantifizierung einzelner Prozessgr{\"o}ßen die Beurteilung der Steuerungsfunktion einzelner Wasserhaushaltsprozesse. Auf der Basis lokaler Simulationsergebnisse sowie geomorphologischer und gew{\"a}ssermorphologischer Analysen wurde ein Algorithmus entwickelt, welcher die Abgrenzung des direkten Eigeneinzugsgebiets der Havel als Raum der direkten Interaktion zwischen Oberfl{\"a}chengew{\"a}sser und umgebendem Einzugsgebiet beschreibt. Durch Simulation des Wasserhaushalts im Eigeneinzugsgebiet mit dem Modell IWAN konnten die Interaktionsprozesse zwischen Fluss und Talauenlandschaft quantitativ beschrieben werden. Dies erm{\"o}glichte eine Bewertung der Abflussanteile aus dem Eigeneinzugsgebiet sowie eine Quantifizierung der zeitlich variablen Retentionskapazit{\"a}t der Auenlandschaft w{\"a}hrend Hochwasserereignissen. Zur Absch{\"a}tzung des Einflusses ver{\"a}nderter Landnutzung und angepassten Managements auf den Wasserhaushalt der Talaue wurden Szenarien entwickelt, welche {\"A}nderungen der Landnutzung sowie der Gew{\"a}ssergeometrie implizieren. Die Simulation des Wasserhaushalts unter jeweiligen Szenariobedingungen erm{\"o}glichte die detaillierte Analyse sich {\"a}ndernder Randbedingungen auf den Gebietswasserhaushalt und auf die Austauschprozesse zwischen Grundwasser und Oberfl{\"a}chengew{\"a}sser. Zur Untersuchung der Stickstoffmetabolik im Grundwasser der Talauenlandschaft wurde das im Modellkonzept IWAN integrierte Stofftransportmodell MT3D f{\"u}r das Eigeneinzugsgebiet der Havel angewandt. Dies erm{\"o}glichte eine Bilanzierung der aus dem Grundwasser des Eigeneinzugsgebiets stammenden Nitratfrachtanteile der Havel sowie von Nitratkonzentrationen im Grundwasser. Szenariensimulationen, welche verminderte Nitrateintr{\"a}ge aus der durchwurzelten Bodenzone annehmen, erm{\"o}glichten die Quantifizierung der Effizienz von Managementmaßnahmen und Landnutzungs{\"a}nderungen in Hinblick auf die Minimierung von Eintr{\"a}gen in Grundwasser und Oberfl{\"a}chengew{\"a}sser.},
  subject      = {Grundwasser},
  language  = {de}
}
@article{NguyenNghiaHungDelgadoGuentneretal.2014,
  author    = {Nguyen Nghia Hung, and Delgado, Jos{\´e} Miguel Martins and G{\"u}ntner, Andreas and Merz, Bruno and Bardossy, Andras and Apel, Heiko},
  title     = {Sedimentation in the floodplains of the Mekong Delta, Vietnam. Part I: suspended sediment dynamics},
  series = {Hydrological processes},
  volume    = {28},
  journal   = {Hydrological processes},
  number    = {7},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {0885-6087},
  doi       = {10.1002/hyp.9856},
  pages     = {3132 -- 3144},
  year      = {2014},
  abstract  = {Suspended sediment is the primary source for a sustainable agro-ecosystem in the Mekong Delta by providing nutrient input for the subsequent cropping season. In addition, the suspended sediment concentration (SSC) plays an important role in the erosion and deposition processes in the Delta; that is, it influences the morphologic development and may counteract the deltaic subsidence and sea level rise. Despite this importance, little is known about the dynamics of suspended sediment in the floodplains of the Mekong Delta. In particular, quantitative analyses are lacking mainly because of data scarcity with respect to the inundation processes in the floodplains. In 2008, therefore, a comprehensive in situ system to monitor the dynamics of suspended sediment in a study area located in the Plain of Reeds was established, aiming at the characterization and quantification of suspended sediment dynamics in the deeply inundated parts of the Vietnamese part of the Mekong Delta. The monitoring system was equipped with seven water quality-monitoring stations. They have a robust design and autonomous power supply suitable for operation on inundated floodplains, enabling the collection of reliable data over a long period of time with a high temporal resolution. The data analysis shows that the general seasonal dynamics of suspended sediment transport in the Delta is controlled by two main mechanisms: the flood wave of the Mekong River and the tidal backwater influences from the coast. In the channel network, SSC decreases exponentially with distance from the Mekong River. The anthropogenic influence on SSC could also be identified for two periods: at the start of the floodplain inundation and at the end of the flood period, when subsequent paddy rice crops are prepared. Based on the results, we recommend an operation scheme for the sluice gates, which intends to distribute the sediment and thus the nutrients equally over the floodplain.},
  language  = {en}
}
@article{NathoTschikofBondarKunzeetal.2020,
  author    = {Natho, Stephanie and Tschikof, Martin and Bondar-Kunze, Elisabeth and Hein, Thomas},
  title     = {Modeling the effect of enhanced lateral connectivity on nutrient retention capacity in large river floodplains},
  series = {Frontiers in Environmental Science},
  volume    = {8},
  journal   = {Frontiers in Environmental Science},
  publisher = {Frontiers Media},
  address   = {Lausanne},
  issn      = {2296-665X},
  doi       = {10.3389/fenvs.2020.00074},
  pages     = {16},
  year      = {2020},
  abstract  = {Floodplains have been degraded in Central Europe for centuries, resulting in less dynamic and less diverse ecosystems than in the past. They provide essential ecosystem services like nutrient retention to improve overall water quality and thus fulfill naturally what EU legislation demands, but this service is impaired by reduced connectivity patterns. Along the second-longest river in Europe, the Danube, restoration measures have been carried out and are planned for the near future in the Austrian Danube Floodplain National Park in accordance with navigation purposes. We investigated nutrient retention capacity in seven currently differently connected side arms and the effects of proposed restoration measures using two complementary modeling approaches. We modeled nutrient retention capacity in two scenarios considering different hydrological conditions, as well as the consequences of planned restoration measures for side arm connectivity. With existing monitoring data on hydrology, nitrate, and total phosphorus concentrations for three side arms, we applied a statistical model and compared these results to a semi-empirical retention model. The latter was originally developed for larger scales, based on transferable causalities of retention processes and set up for this floodplain with publicly available data. Both model outcomes are in a comparable range for NO3-N (77-198 kg ha(-1)yr(-1)) and TP (1.4-5.7 kg ha(-1)yr(-1)) retention and agree in calculating higher retention in floodplains, where reconnection allows more frequent inundation events. However, the differences in the model results are significant for specific aspects especially during high flows, where the semi-empirical model complements the statistical model. On the other hand, the statistical model complements the semi-empirical model when taking into account nutrient retention at times of no connection between the remaining water bodies left in the floodplain. Overall, both models show clearly that nutrient retention in the Danube floodplains can be enhanced by restoring lateral hydrological reconnection and, for all planned measures, a positive effect on the overall water quality of the Danube River is expected. Still, a frequently hydrologically connected stretch of national park is insufficient to improve the water quality of the whole Upper Danube, and more functional floodplains are required.},
  language  = {en}
}
@article{HeimTrenseSokolovaetal.2017,
  author    = {Heim, Wieland and Trense, Daronja and Sokolova, Galina V. and Kitagawa, Tamaki},
  title     = {Increased populations of endangered cranes after Amur River flood},
  series = {Waterbirds},
  volume    = {40},
  journal   = {Waterbirds},
  publisher = {Waterbirds SOC},
  address   = {Washington},
  issn      = {1524-4695},
  doi       = {10.1675/063.040.0309},
  pages     = {282 -- 288},
  year      = {2017},
  abstract  = {Dam construction on the Zeya River, which is an important tributary of the Amur River in Far East Russia, has caused significant declines in water levels and frequency of floods in the adjacent floodplains since 1980. However, an extreme flood event occurred in 2013. Populations of six crane species were monitored before and after these drastic water level changes at Muraviovka Park in Far East Russia, an important breeding and stop-over site. Individuals were counted by territory mapping during the breeding season (2000-2015) and by roosting site counts during autumn migration (2006-2015). The objective of this study was to evaluate whether changes in water levels had a significant impact on local and migratory crane populations. We found a positive effect of flooding on numbers of breeding Red-crowned Cranes (Grus japonensis) and White-naped Cranes (Antigone vipio), as well as on numbers of roosting Hooded Cranes (Grus monacha) in autumn. Siberian Cranes (Leucogeranus leucogeranus) were only observed after the wetlands were flooded. The results of this study highlight the importance of elevated Amur River water levels for crane populations of global importance.},
  language  = {en}
}
@misc{MalinowskiGroomSchwanghartetal.2017,
  author    = {Malinowski, Radosław and Groom, Geoff and Schwanghart, Wolfgang and Heckrath, Goswin},
  title     = {Detection and delineation of localized flooding from WorldView-2 multispectral data},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-400149},
  pages     = {23},
  year      = {2017},
  abstract  = {Remote sensing technology serves as a powerful tool for analyzing geospatial characteristics of flood inundation events at various scales. However, the performance of remote sensing methods depends heavily on the flood characteristics and landscape settings. Difficulties might be encountered in mapping the extent of localized flooding with shallow water on riverine floodplain areas, where patches of herbaceous vegetation are interspersed with open water surfaces. To address the difficulties in mapping inundation on areas with complex water and vegetation compositions, a high spatial resolution dataset has to be used to reduce the problem of mixed pixels. The main objective of our study was to investigate the possibilities of using a single date WorldView-2 image of very high spatial resolution and supporting data to analyze spatial patterns of localized flooding on a riverine floodplain. We used a decision tree algorithm with various combinations of input variables including spectral bands of the WorldView-2 image, selected spectral indices dedicated to mapping water surfaces and vegetation, and topographic data. The overall accuracies of the twelve flood extent maps derived with the decision tree method and performed on both pixels and image objects ranged between 77\% and 95\%. The highest mapping overall accuracy was achieved with a method that utilized all available input data and the object-based image analysis. Our study demonstrates the possibility of using single date WorldView-2 data for analyzing flooding events at high spatial detail despite the absence of spectral bands from the short-waveform region that are frequently used in water related studies. Our study also highlights the importance of topographic data in inundation analyses. The greatest difficulties were met in mapping water surfaces under dense canopy herbaceous vegetation, due to limited water surface exposure and the dominance of vegetation reflectance.},
  language  = {en}
}
@article{MalinowskiGroomSchwanghartetal.2015,
  author    = {Malinowski, Radoslaw and Groom, Geoff and Schwanghart, Wolfgang and Heckrath, Goswin},
  title     = {Detection and Delineation of Localized Flooding from World View-2 Multispectral Data},
  series = {Remote sensing},
  volume    = {7},
  journal   = {Remote sensing},
  number    = {11},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2072-4292},
  doi       = {10.3390/rs71114853},
  pages     = {14853 -- 14875},
  year      = {2015},
  abstract  = {Remote sensing technology serves as a powerful tool for analyzing geospatial characteristics of flood inundation events at various scales. However, the performance of remote sensing methods depends heavily on the flood characteristics and landscape settings. Difficulties might be encountered in mapping the extent of localized flooding with shallow water on riverine floodplain areas, where patches of herbaceous vegetation are interspersed with open water surfaces. To address the difficulties in mapping inundation on areas with complex water and vegetation compositions, a high spatial resolution dataset has to be used to reduce the problem of mixed pixels. The main objective of our study was to investigate the possibilities of using a single date WorldView-2 image of very high spatial resolution and supporting data to analyze spatial patterns of localized flooding on a riverine floodplain. We used a decision tree algorithm with various combinations of input variables including spectral bands of the WorldView-2 image, selected spectral indices dedicated to mapping water surfaces and vegetation, and topographic data. The overall accuracies of the twelve flood extent maps derived with the decision tree method and performed on both pixels and image objects ranged between 77\% and 95\%. The highest mapping overall accuracy was achieved with a method that utilized all available input data and the object-based image analysis. Our study demonstrates the possibility of using single date WorldView-2 data for analyzing flooding events at high spatial detail despite the absence of spectral bands from the short-waveform region that are frequently used in water related studies. Our study also highlights the importance of topographic data in inundation analyses. The greatest difficulties were met in mapping water surfaces under dense canopy herbaceous vegetation, due to limited water surface exposure and the dominance of vegetation reflectance.},
  language  = {en}
}
@article{HoffmannSchlummerNotebaertetal.2013,
  author    = {Hoffmann, Thomas and Schlummer, Manuela and Notebaert, Bastiaan and Verstraeten, Gert and Korup, Oliver},
  title     = {Carbon burial in soil sediments from Holocene agricultural erosion, Central Europe},
  series = {Global biogeochemical cycles},
  volume    = {27},
  journal   = {Global biogeochemical cycles},
  number    = {3},
  publisher = {American Geophysical Union},
  address   = {Washington},
  issn      = {0886-6236},
  doi       = {10.1002/gbc.20071},
  pages     = {828 -- 835},
  year      = {2013},
  abstract  = {Natural and human-induced erosion supplies high amounts of soil organic carbon (OC) to terrestrial drainage networks. Yet OC fluxes in rivers were considered in global budgets only recently. Modern estimates of annual carbon burial in inland river sediments of 0.6 Gt C, or 22\% of C transferred from terrestrial ecosystems to river channels, consider only lakes and reservoirs and disregard any long-term carbon burial in hillslope or floodplain sediments. Here we present the first assessment of sediment-bound OC storage in Central Europe from a synthesis of similar to 1500 Holocene hillslope and floodplain sedimentary archives. We show that sediment storage increases with drainage-basin size due to more extensive floodplains in larger river basins. However, hillslopes retain hitherto unrecognized high amounts of eroded soils at the scale of large river basins such that average agricultural erosion rates during the Holocene would have been at least twice as high as reported previously. This anthropogenic hillslope sediment storage exceeds floodplain storage in drainage basins <10(5) km(2), challenging the notion that floodplains are the dominant sedimentary sinks. In terms of carbon burial, OC concentrations in floodplains exceed those on hillslopes, and net OC accumulation rates in floodplains (0.70.2 g C m(-2)a(-1)) surpass those on hillslopes (0.40.1 g C m(-2)a(-1)) over the last 7500 years. We conclude that carbon burial in floodplains and on hillslopes in Central Europe exceeds terrestrial carbon storage in lakes and reservoirs by at least 2 orders of magnitude and should thus be considered in continental carbon budgets.},
  language  = {en}
}