4.7 Article

Flood-induced population displacements in the world

期刊

ENVIRONMENTAL RESEARCH LETTERS
卷 15, 期 12, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1748-9326/abc586

关键词

climate change; climate-induced migration; exposure; extreme weather events; migration; vulnerability

资金

  1. JSPS KAKENHI [19K20487]
  2. Shanghai Municipal Education Commission [TP2019035]
  3. Environment Research and Technology Development Fund of the Environmental Restoration and Conservation Agency of Japan [JPMEERF20202005]
  4. Army Research Office/Army Research Laboratory [W911NF1810267]
  5. Defense Advanced Research Project Agency under the World Modelers program [W911NF1910013]
  6. [15J12081]
  7. Grants-in-Aid for Scientific Research [19K20487] Funding Source: KAKEN
  8. U.S. Department of Defense (DOD) [W911NF1910013] Funding Source: U.S. Department of Defense (DOD)

向作者/读者索取更多资源

Strengthening the resilience of societies to extreme weather events is an urgent and critical priority around the world. Extreme weather often causes population displacement that compromises human security. Environment-induced displacement is multifaceted because climate extremes, population, and socio-economic conditions, among other factors, converge to influence individuals' decisions to move. When large-scale, catastrophic floods occur, people tend to move both suddenly and rapidly for survival. Quantifying the patterns and mechanisms of such displacement at global scale is essential to support areas at high risk for climate-induced displacement. Here we present the global distribution of vulnerability to floods by mapping potential flood exposure and observed flood-induced displacement. We found that countries in Africa might be highly vulnerable to floods because they have high flood-induced displacement even at low- to mid-level flood exposure. Our results show that income levels (Gross National Income) substantial impact flood-induced displacement. Moreover, the relationship between income levels and displacement is nonlinear, and this nonlinearity indicates large gaps in flood-induced displacement between high- and low-income countries. We suggest that low-income countries, particularly in Africa, face a high likelihood of flood-induced displacement and need to develop adaptation measures to mitigate the potential for displacement and the associated risks.

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