An integrated approach for assessing flood impacts due to future climate and socio-economic conditions and the scope of adaptation in Europe

被引:0
|
作者
M. Mokrech
A. S. Kebede
R. J. Nicholls
F. Wimmer
L. Feyen
机构
[1] University of Houston Clear Lake,School of Science and Computer Engineering
[2] University of Southampton,Faculty of Engineering and the Environment
[3] University of Kassel,Center for Environmental Systems Research
[4] Institute for Environment and Sustainability,Joint Research Centre
来源
Climatic Change | 2015年 / 128卷
关键词
Gross Domestic Product; Flood Risk; Adaptation Option; Flood Damage; Flood Protection;
D O I
暂无
中图分类号
学科分类号
摘要
The Coastal Fluvial Flood (CFFlood) model for assessing coastal and fluvial flood impacts under current and future climate and socio-economic conditions is presented and applied at the European scale. Flood frequency is estimated as a function of river flows, extreme sea levels and estimated defence standards to determine the flood extent and depth. Flood consequences are estimated by combining the latter with information on urban areas, population density and Gross Domestic Product (GDP). Climate and socio-economic scenarios and possible adaptation choices are included to analyse future conditions. In 2010, almost 6 % of the European population is estimated to live in the 100 year flood area. The corresponding economic loss is €236 billion, assuming no defences. Estimated flood protection reduces economic damage substantially by 67 to 99 % and the number of people flooded is reduced by 37 to 99 % for the 100 year event. Impact simulations show that future climate and socio-economic conditions may increase flood impacts, especially in coastal areas due to sea-level rise. In contrast, impacts caused by fluvial flooding sometimes decrease, especially in southern and western regions of Europe due to decreases in precipitation and consequent run-off. Under high-end scenarios, flood impacts increase substantially unless there are corresponding adaptation efforts.
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页码:245 / 260
页数:15
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