TY - JOUR
T1 - Global drivers of future river flood risk
AU - Winsemius, Hessel C.
AU - Aerts, Jeroen C. J. H.
AU - van Beek, Ludovicus P. H.
AU - Bierkens, Marc F. P.
AU - Bouwman, Arno
AU - Jongman, Brenden
AU - Kwadijk, Jaap C. J.
AU - Ligtvoet, Willem
AU - Lucas, Paul L.
AU - van Vuuren, Detlef P.
AU - Ward, Philip J.
PY - 2016/4
Y1 - 2016/4
N2 - Understanding global future river flood risk is a prerequisite for the quantification of climate change impacts and planning effective adaptation strategies1. Existing global flood risk projections fail to integrate the combined dynamics of expected socio-economic development and climate change. We present the first global future river flood risk projections that separate the impacts of climate change and socio-economic development. The projections are based on an ensemble of climate model outputs2, socio-economic scenarios3, and a state-of-the-art hydrologic river flood model combined with socio-economic impact models4, 5. Globally, absolute damage may increase by up to a factor of 20 by the end of the century without action. Countries in Southeast Asia face a severe increase in flood risk. Although climate change contributes significantly to the increase in risk in Southeast Asia6, we show that it is dwarfed by the effect of socio-economic growth, even after normalization for gross domestic product (GDP) growth. African countries face a strong increase in risk mainly due to socio-economic change. However, when normalized to GDP, climate change becomes by far the strongest driver. Both high- and low-income countries may benefit greatly from investing in adaptation measures, for which our analysis provides a basis.
AB - Understanding global future river flood risk is a prerequisite for the quantification of climate change impacts and planning effective adaptation strategies1. Existing global flood risk projections fail to integrate the combined dynamics of expected socio-economic development and climate change. We present the first global future river flood risk projections that separate the impacts of climate change and socio-economic development. The projections are based on an ensemble of climate model outputs2, socio-economic scenarios3, and a state-of-the-art hydrologic river flood model combined with socio-economic impact models4, 5. Globally, absolute damage may increase by up to a factor of 20 by the end of the century without action. Countries in Southeast Asia face a severe increase in flood risk. Although climate change contributes significantly to the increase in risk in Southeast Asia6, we show that it is dwarfed by the effect of socio-economic growth, even after normalization for gross domestic product (GDP) growth. African countries face a strong increase in risk mainly due to socio-economic change. However, when normalized to GDP, climate change becomes by far the strongest driver. Both high- and low-income countries may benefit greatly from investing in adaptation measures, for which our analysis provides a basis.
U2 - 10.1038/NCLIMATE2893
DO - 10.1038/NCLIMATE2893
M3 - Article
SN - 1758-678X
VL - 6
SP - 381
EP - 385
JO - Nature Climate Change
JF - Nature Climate Change
IS - 4
ER -