TY - JOUR A1 - Kalkuhl, Matthias A1 - Wenz, Leonie T1 - The impact of climate conditions on economic production BT - evidence from a global panel of regions JF - Journal of Environmental Economics and Management N2 - We present a novel data set of subnational economic output, Gross Regional Product (GRP), for more than 1500 regions in 77 countries that allows us to empirically estimate historic climate impacts at different time scales. Employing annual panel models, long-difference regressions and cross-sectional regressions, we identify effects on productivity levels and productivity growth. We do not find evidence for permanent growth rate impacts but we find robust evidence that temperature affects productivity levels considerably. An increase in global mean surface temperature by about 3.5°C until the end of the century would reduce global output by 7–14% in 2100, with even higher damages in tropical and poor regions. Updating the DICE damage function with our estimates suggests that the social cost of carbon from temperature-induced productivity losses is on the order of 73–142$/tCO2 in 2020, rising to 92–181$/tCO2 in 2030. These numbers exclude non-market damages and damages from extreme weather events or sea-level rise. KW - climate change KW - climate damages KW - climate impacts KW - growth regression KW - global warming KW - panel regression KW - cross-sectional regression KW - damage KW - function KW - social costs of carbon Y1 - 2020 U6 - https://doi.org/10.1016/j.jeem.2020.102360 SN - 0095-0696 SN - 1096-0449 VL - 103 PB - Elsevier CY - San Diego ER - TY - JOUR A1 - Samprogna Mohor, Guilherme A1 - Thieken, Annegret A1 - Korup, Oliver T1 - Residential flood loss estimated from Bayesian multilevel models JF - Natural Hazards and Earth System Sciences N2 - Models for the predictions of monetary losses from floods mainly blend data deemed to represent a single flood type and region. Moreover, these approaches largely ignore indicators of preparedness and how predictors may vary between regions and events, challenging the transferability of flood loss models. We use a flood loss database of 1812 German flood-affected households to explore how Bayesian multilevel models can estimate normalised flood damage stratified by event, region, or flood process type. Multilevel models acknowledge natural groups in the data and allow each group to learn from others. We obtain posterior estimates that differ between flood types, with credibly varying influences of water depth, contamination, duration, implementation of property-level precautionary measures, insurance, and previous flood experience; these influences overlap across most events or regions, however. We infer that the underlying damaging processes of distinct flood types deserve further attention. Each reported flood loss and affected region involved mixed flood types, likely explaining the uncertainty in the coefficients. Our results emphasise the need to consider flood types as an important step towards applying flood loss models elsewhere. We argue that failing to do so may unduly generalise the model and systematically bias loss estimations from empirical data. KW - damage KW - insurance KW - Germany KW - transferability KW - preparedness KW - recovery Y1 - 2020 U6 - https://doi.org/10.5194/nhess-21-1599-2021 SN - 2195-9269 VL - 21 SP - 1599 EP - 1614 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - JOUR A1 - Bald, Ilko A1 - Keller, Adrian A1 - Kopyra, Janina T1 - On the role of fluoro-substituted nucleosides in DNA radiosensitization for tumor radiation therapy JF - RSC Advances : an international journal to further the chemical sciences N2 - Gemcitabine (2′,2′-difluorocytidine) is a well-known radiosensitizer routinely applied in concomitant chemoradiotherapy. During irradiation of biological media with high-energy radiation secondary low-energy (<10 eV) electrons are produced that can directly induce chemical bond breakage in DNA by dissociative electron attachment (DEA). Here, we investigate and compare DEA to the three molecules 2′-deoxycytidine, 2′-deoxy-5-fluorocytidine, and gemcitabine. Fluorination at specific molecular sites, i.e., nucleobase or sugar moiety, is found to control electron attachment and subsequent dissociation pathways. The presence of two fluorine atoms at the sugar ring results in more efficient electron attachment to the sugar moiety and subsequent bond cleavage. For the formation of the dehydrogenated nucleobase anion, we obtain an enhancement factor of 2.8 upon fluorination of the sugar, whereas the enhancement factor is 5.5 when the nucleobase is fluorinated. The observed fragmentation reactions suggest enhanced DNA strand breakage induced by secondary electrons when gemcitabine is incorporated into DNA. KW - low-energy electrons KW - single-strand breaks KW - gas-phase KW - chemoradiation therapy KW - molecular-mechanisms KW - resonant formation KW - damage KW - attachment KW - drugs Y1 - 2014 U6 - https://doi.org/10.1039/C3RA46735J SN - 2046-2069 VL - 4 IS - 13 SP - 6825 EP - 6829 PB - Royal Society of Chemistry ER - TY - JOUR A1 - Schroeter, Kai A1 - Kreibich, Heidi A1 - Vogel, Kristin A1 - Riggelsen, Carsten A1 - Scherbaum, Frank A1 - Merz, Bruno T1 - How useful are complex flood damage models? JF - Water resources research N2 - We investigate the usefulness of complex flood damage models for predicting relative damage to residential buildings in a spatial and temporal transfer context. We apply eight different flood damage models to predict relative building damage for five historic flood events in two different regions of Germany. Model complexity is measured in terms of the number of explanatory variables which varies from 1 variable up to 10 variables which are singled out from 28 candidate variables. Model validation is based on empirical damage data, whereas observation uncertainty is taken into consideration. The comparison of model predictive performance shows that additional explanatory variables besides the water depth improve the predictive capability in a spatial and temporal transfer context, i.e., when the models are transferred to different regions and different flood events. Concerning the trade-off between predictive capability and reliability the model structure seem more important than the number of explanatory variables. Among the models considered, the reliability of Bayesian network-based predictions in space-time transfer is larger than for the remaining models, and the uncertainties associated with damage predictions are reflected more completely. KW - floods KW - damage KW - model validation KW - Bayesian networks KW - regression tree Y1 - 2014 U6 - https://doi.org/10.1002/2013WR014396 SN - 0043-1397 SN - 1944-7973 VL - 50 IS - 4 SP - 3378 EP - 3395 PB - American Geophysical Union CY - Washington ER - TY - JOUR A1 - Geiger, Tobias A1 - Frieler, Katja A1 - Levermann, Anders T1 - High-income does not protect against hurricane losses JF - Environmental research letters N2 - Damage due to tropical cyclones accounts for more than 50% of all meteorologically-induced economic losses worldwide. Their nominal impact is projected to increase substantially as the exposed population grows, per capita income increases, and anthropogenic climate change manifests. So far, historical losses due to tropical cyclones have been found to increase less than linearly with a nation's affected gross domestic product (GDP). Here we show that for the United States this scaling is caused by a sub-linear increase with affected population while relative losses scale super-linearly with per capita income. The finding is robust across a multitude of empirically derived damage models that link the storm's wind speed, exposed population, and per capita GDP to reported losses. The separation of both socio-economic predictors strongly affects the projection of potential future hurricane losses. Separating the effects of growth in population and per-capita income, per hurricane losses with respect to national GDP are projected to triple by the end of the century under unmitigated climate change, while they are estimated to decrease slightly without the separation. KW - climate change KW - tropical cyclones KW - damage KW - meteorological extremes KW - vulnerability Y1 - 2016 U6 - https://doi.org/10.1088/1748-9326/11/8/084012 SN - 1748-9326 VL - 11 PB - IOP Publ. Ltd. CY - Bristol ER - TY - JOUR A1 - Laudan, Jonas A1 - Zöller, Gert A1 - Thieken, Annegret T1 - Flash floods versus river floods BT - a comparison of psychological impacts and implications for precautionary behaviour JF - Natural Hazards and Earth System Sciences N2 - River floods are among the most damaging natural hazards that frequently occur in Germany. Flooding causes high economic losses and impacts many residents. In 2016, several southern German municipalities were hit by flash floods after unexpectedly severe heavy rainfall, while in 2013 widespread river flooding had occurred. This study investigates and compares the psychological impacts of river floods and flash floods and potential consequences for precautionary behaviour. Data were collected using computer-aided telephone interviews that were conducted among flood-affected households around 9 months after each damaging event. This study applies Bayesian statistics and negative binomial regressions to test the suitability of psychological indicators to predict the precaution motivation of individuals. The results show that it is not the particular flood type but rather the severity and local impacts of the event that are crucial for the different, and potentially negative, impacts on mental health. According to the used data, however, predictions of the individual precaution motivation should not be based on the derived psychological indicators – i.e. coping appraisal, threat appraisal, burden and evasion – since their explanatory power was generally low and results are, for the most part, non-significant. Only burden reveals a significant positive relation to planned precaution regarding weak flash floods. In contrast to weak flash floods and river floods, the perceived threat of strong flash floods is significantly lower although feelings of burden and lower coping appraisals are more pronounced. Further research is needed to better include psychological assessment procedures and to focus on alternative data sources regarding floods and the connected precaution motivation of affected residents. KW - private households KW - risk perceptions KW - extreme rainfall KW - health KW - mitigation KW - Germany KW - people KW - damage KW - preparedness KW - residents Y1 - 2019 U6 - https://doi.org/10.5194/nhess-20-999-2020 SN - 1684-9981 VL - 20 SP - 999 EP - 1023 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - JOUR A1 - Cabeza, Sandra A1 - Müller, Bernd R. A1 - Pereyra, Ricio A1 - Fernandez, Ricardo A1 - Gonzalez-Doncel, Gaspar A1 - Bruno, Giovanni T1 - Evidence of damage evolution during creep of Al-Mg alloy using synchrotron X-ray refraction JF - Journal of applied crystallography N2 - In order to provide further evidence of damage mechanisms predicted by the recent solid-state transformation creep (SSTC) model, direct observation of damage accumulation during creep of Al-3.85Mg was made using synchrotron X-ray refraction. X-ray refraction techniques detect the internal specific surface (i.e. surface per unit volume) on a length scale comparable to the specimen size, but with microscopic sensitivity. A significant rise in the internal specific surface with increasing creep time was observed, providing evidence for the creation of a fine grain substructure, as predicted by the SSTC model. This substructure was also observed by scanning electron microscopy. KW - aluminium alloys KW - creep KW - damage KW - synchrotron X-ray refraction KW - electron microscopy KW - subgrain structure Y1 - 2018 U6 - https://doi.org/10.1107/S1600576718001449 SN - 1600-5767 VL - 51 SP - 420 EP - 427 PB - International Union of Crystallography CY - Chester ER - TY - JOUR A1 - Rözer, Viktor A1 - Müller, Meike A1 - Bubeck, Philip A1 - Kienzler, Sarah A1 - Thieken, Annegret A1 - Pech, Ina A1 - Schröter, Kai A1 - Buchholz, Oliver A1 - Kreibich, Heidi T1 - Coping with Pluvial Floods by Private Households JF - Water N2 - Pluvial floods have caused severe damage to urban areas in recent years. With a projected increase in extreme precipitation as well as an ongoing urbanization, pluvial flood damage is expected to increase in the future. Therefore, further insights, especially on the adverse consequences of pluvial floods and their mitigation, are needed. To gain more knowledge, empirical damage data from three different pluvial flood events in Germany were collected through computer-aided telephone interviews. Pluvial flood awareness as well as flood experience were found to be low before the respective flood events. The level of private precaution increased considerably after all events, but is mainly focused on measures that are easy to implement. Lower inundation depths, smaller potential losses as compared with fluvial floods, as well as the fact that pluvial flooding may occur everywhere, are expected to cause a shift in damage mitigation from precaution to emergency response. However, an effective implementation of emergency measures was constrained by a low dissemination of early warnings in the study areas. Further improvements of early warning systems including dissemination as well as a rise in pluvial flood preparedness are important to reduce future pluvial flood damage. KW - pluvial floods KW - surface water flooding KW - emergency response KW - early warning KW - preparedness KW - damage KW - mitigation Y1 - 2016 U6 - https://doi.org/10.3390/w8070304 SN - 2073-4441 VL - 8 PB - MDPI CY - Basel ER -