Flood risk in a range of spatial perspectives – from global to local scales
Zbigniew W. Kundzewicz,Buda Su,Yanjun Wang,Guojie Wang,Guofu Wang,Jinlong Huang,and Tong Jiang
Zbigniew W. Kundzewicz
Institute for Disaster Risk Management (iDRM), School of Geographical Sciences, Nanjing University of Information
Science and Technology (NUIST), Nanjing, China
Institute for Agricultural and Forest Environment, Polish Academy
of Sciences, Poznań, Poland
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Buda Su
Institute for Disaster Risk Management (iDRM), School of Geographical Sciences, Nanjing University of Information
Science and Technology (NUIST), Nanjing, China
National Climate Center, China Meteorological Administration,
Beijing, China
Institute for Disaster Risk Management (iDRM), School of Geographical Sciences, Nanjing University of Information
Science and Technology (NUIST), Nanjing, China
Guojie Wang
Institute for Disaster Risk Management (iDRM), School of Geographical Sciences, Nanjing University of Information
Science and Technology (NUIST), Nanjing, China
Guofu Wang
National Climate Center, China Meteorological Administration,
Beijing, China
Jinlong Huang
Institute for Disaster Risk Management (iDRM), School of Geographical Sciences, Nanjing University of Information
Science and Technology (NUIST), Nanjing, China
Institute for Disaster Risk Management (iDRM), School of Geographical Sciences, Nanjing University of Information
Science and Technology (NUIST), Nanjing, China
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Considering flood risk composed of hazard, exposure, and vulnerability from global to local scales, this paper reviews and presents increasing observed flood losses and projections of flood hazard and losses. We acknowledge existence of multiple driving factors and of considerable uncertainty, in particular with regards to projections for the future. Finally, this paper analyses options for flood risk reduction from a global framework to regional and local scales.
Considering flood risk composed of hazard, exposure, and vulnerability from global to local...
