Flood hazard potential reveals global floodplain settlement patterns

被引:80
作者
Devitt, Laura [1 ]
Neal, Jeffrey [1 ,2 ,3 ]
Coxon, Gemma [1 ,2 ]
Savage, James [3 ]
Wagener, Thorsten [2 ,4 ,5 ]
机构
[1] Univ Bristol, Sch Geog Sci, Bristol, England
[2] Univ Bristol, Cabot Inst, Bristol, England
[3] Fathom, Bristol, England
[4] Univ Bristol, Dept Civil Engn, Bristol, England
[5] Univ Potsdam, Inst Environm Sci & Geog, Potsdam, Germany
基金
英国工程与自然科学研究理事会;
关键词
CLIMATE-CHANGE; RISK; UNCERTAINTY; WATER; POPULATION; FRAMEWORK; IMPACTS; MODELS; TRENDS; PRECIPITATION;
D O I
10.1038/s41467-023-38297-9
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
This study presents a global analysis of the sensitivity of inundated areas and population exposure to varying flood event magnitudes globally for 1.2 million river reaches. The authors show that topography and drainage areas correlate with flood sensitivities as well as with societal behavior. Flooding is one of the most common natural hazards, causing disastrous impacts worldwide. Stress-testing the global human-Earth system to understand the sensitivity of floodplains and population exposure to a range of plausible conditions is one strategy to identify where future changes to flooding or exposure might be most critical. This study presents a global analysis of the sensitivity of inundated areas and population exposure to varying flood event magnitudes globally for 1.2 million river reaches. Here we show that topography and drainage areas correlate with flood sensitivities as well as with societal behaviour. We find clear settlement patterns in which floodplains most sensitive to frequent, low magnitude events, reveal evenly distributed exposure across hazard zones, suggesting that people have adapted to this risk. In contrast, floodplains most sensitive to extreme magnitude events have a tendency for populations to be most densely settled in these rarely flooded zones, being in significant danger from potentially increasing hazard magnitudes given climate change.
引用
收藏
页数:11
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共 108 条
[61]   Review of trend analysis and climate change projections of extreme precipitation and floods in Europe [J].
Madsen, H. ;
Lawrence, D. ;
Lang, M. ;
Martinkova, M. ;
Kjeldsen, T. R. .
JOURNAL OF HYDROLOGY, 2014, 519 :3634-3650
[62]   Nighttime light data reveal how flood protection shapes human proximity to rivers [J].
Mard, Johanna ;
Di Baldassarre, Giuliano ;
Mazzoleni, Maurizio .
SCIENCE ADVANCES, 2018, 4 (08)
[63]   Panta Rhei 2013-2015: global perspectives on hydrology, society and change [J].
McMillan, Hilary ;
Montanari, Alberto ;
Cudennec, Christophe ;
Savenije, Hubert ;
Kreibich, Heidi ;
Krueger, Tobias ;
Liu, Junguo ;
Mejia, Alfonso ;
Van Loon, Anne ;
Aksoy, Hafzullah ;
Di Baldassarre, Giuliano ;
Huang, Yan ;
Mazvimavi, Dominc ;
Rogger, Magdalena ;
Sivakumar, Bellie ;
Bibikova, Tatiana ;
Castellarin, Attilio ;
Chen, Yangbo ;
Finger, David ;
Gelfan, Alexander ;
Hannah, David M. ;
Hoekstra, Arjen Y. ;
Li, Hongyi ;
Maskey, Shreedhar ;
Mathevet, Thibault ;
Mijic, Ana ;
Pedrozo Acuna, Adrian ;
Polo, Maria J. ;
Rosales, Victor ;
Smith, Paul ;
Viglione, Alberto ;
Srinivasan, Veena ;
Toth, Elena ;
Van Nooyen, Ronald ;
Xia, Jun .
HYDROLOGICAL SCIENCES JOURNAL, 2016, 61 (07) :1174-1191
[64]   Subjective modeling decisions can significantly impact the simulation of flood and drought events [J].
Melsen, Lieke A. ;
Teuling, Adriaan J. ;
Torfs, Paul J. J. F. ;
Zappa, Massimiliano ;
Mizukami, Naoki ;
Mendoza, Pablo A. ;
Clark, Martyn P. ;
Uijlenhoet, Remko .
JOURNAL OF HYDROLOGY, 2019, 568 :1093-1104
[65]   Causes, impacts and patterns of disastrous river floods [J].
Merz, Bruno ;
Bloesch, Guenter ;
Vorogushyn, Sergiy ;
Dottori, Francesco ;
Aerts, Jeroen C. J. H. ;
Bates, Paul ;
Bertola, Miriam ;
Kemter, Matthias ;
Kreibich, Heidi ;
Lall, Upmanu ;
Macdonald, Elena .
NATURE REVIEWS EARTH & ENVIRONMENT, 2021, 2 (09) :592-609
[66]   Climate change - Stationarity is dead: Whither water management? [J].
Milly, P. C. D. ;
Betancourt, Julio ;
Falkenmark, Malin ;
Hirsch, Robert M. ;
Kundzewicz, Zbigniew W. ;
Lettenmaier, Dennis P. ;
Stouffer, Ronald J. .
SCIENCE, 2008, 319 (5863) :573-574
[67]   Estimating River Channel Bathymetry in Large Scale Flood Inundation Models [J].
Neal, Jeffrey ;
Hawker, Laurence ;
Savage, James ;
Durand, Michael ;
Bates, Paul ;
Sampson, Christopher .
WATER RESOURCES RESEARCH, 2021, 57 (05)
[68]   A subgrid channel model for simulating river hydraulics and floodplain inundation over large and data sparse areas [J].
Neal, Jeffrey ;
Schumann, Guy ;
Bates, Paul .
WATER RESOURCES RESEARCH, 2012, 48
[69]   Measuring Household Resilience to Floods: a Case Study in the Vietnamese Mekong River Delta [J].
Nguyen, Kien V. ;
James, Helen .
ECOLOGY AND SOCIETY, 2013, 18 (03)
[70]   A spatially-explicit harmonized global dataset of critical infrastructure [J].
Nirandjan, Sadhana ;
Koks, Elco E. ;
Ward, Philip J. ;
Aerts, Jeroen C. J. H. .
SCIENTIFIC DATA, 2022, 9 (01)