Strong influence of El Nino Southern Oscillation on flood risk around the world

被引:203
作者
Ward, Philip J. [1 ,2 ]
Jongman, Brenden [1 ,2 ]
Kummu, Matti [3 ]
Dettinger, Michael D. [4 ,5 ]
Weiland, Frederiek C. Sperna [6 ]
Winsemius, Hessel C. [6 ]
机构
[1] Vrije Univ Amsterdam, Inst Environm Studies, NL-1081 HV Amsterdam, Netherlands
[2] Vrije Univ Amsterdam, Amsterdam Global Change Inst, NL-1081 HV Amsterdam, Netherlands
[3] Aalto Univ, Water & Dev Res Grp, Espoo 02150, Finland
[4] Univ Calif San Diego, Scripps Inst Oceanog, Climate Atmospher Sci & Phys Oceanog Div, La Jolla, CA 92093 USA
[5] US Geol Survey, La Jolla, CA 92093 USA
[6] Deltares, NL-2629 HD Delft, Netherlands
基金
美国海洋和大气管理局; 芬兰科学院;
关键词
flood risk; El Nino Southern Oscillation; climate variability; global scale; flood hazard; CLIMATE-CHANGE; VARIABILITY; DISASTER; ENSO; MANAGEMENT;
D O I
10.1073/pnas.1409822111
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
El Nino Southern Oscillation (ENSO) is the most dominant interannual signal of climate variability and has a strong influence on climate over large parts of the world. In turn, it strongly influences many natural hazards (such as hurricanes and droughts) and their resulting socioeconomic impacts, including economic damage and loss of life. However, although ENSO is known to influence hydrology in many regions of the world, little is known about its influence on the socioeconomic impacts of floods (i.e., flood risk). To address this, we developed a modeling framework to assess ENSO's influence on flood risk at the global scale, expressed in terms of affected population and gross domestic product and economic damages. We show that ENSO exerts strong and widespread influences on both flood hazard and risk. Reliable anomalies of flood risk exist during El Nino or La Nina years, or both, in basins spanning almost half (44%) of Earth's land surface. Our results show that climate variability, especially from ENSO, should be incorporated into disaster-risk analyses and policies. Because ENSO has some predictive skill with lead times of several seasons, the findings suggest the possibility to develop probabilistic flood-risk projections, which could be used for improved disaster planning. The findings are also relevant in the context of climate change. If the frequency and/or magnitude of ENSO events were to change in the future, this finding could imply changes in flood-risk variations across almost half of the world's terrestrial regions.
引用
收藏
页码:15659 / 15664
页数:6
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