Increasing Global Flood Risk in 2005-2020 from a Multi-Scale Perspective
文献类型：期刊论文
| 作者 | Duan, Yu2; Xiong, Junnan1,2; Cheng, Weiming1,3; Li, Yi4; Wang, Nan5; Shen, Gaoyun2; Yang, Jiawei2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-11-01 |
| 卷号 | 14期号:21页码:21 |
| 关键词 | flood disaster flood risk assessment spatiotemporal variations multiple scales game theory |
| DOI | 10.3390/rs14215551 |
| 通讯作者 | Xiong, Junnan(xiongjn@swpu.edu.cn) |
| 英文摘要 | In the context of global climate change, floods have become one of the major natural disasters affecting the safety of human life, economic construction, and sustainable development. Despite significant improvements in flood risk and exposure modeling in some studies, there is still a lack of evidence on the spatiotemporal distribution patterns associated with flood risk across the globe. Meanwhile, numerous studies mostly explore flood risk distribution patterns based on specific spatial scales, ignoring to some extent the fact that flood risk has different distribution patterns on different scales. Here, on the basis of hazard-vulnerability components quantified using game theory (GT), we proposed a framework for analyzing the spatiotemporal distribution patterns of global flood risk and the influencing factors behind them on multiple scales. The results revealed that global flood risk increased during 2005-2020, with the percentages of high-risk areas being 4.3%, 4.48%, 4.6%, and 5.02%, respectively. There were 11 global risk hotspots, mainly located in areas with high population concentration, high economic density, abundant precipitation, and low elevation. On the national scale, high-risk countries were mainly concentrated in East Asia, South Asia, Central Europe, and Western Europe. In our experiment, developed countries accounted for the majority of the 20 highest risk countries in the world, with Singapore being the highest risk country and El Salvador having the highest positive risk growth rate (growing by 19.05% during 2015-2020). The findings of this study offer much-needed information and reference for academics researching flood risk under climate change. |
| WOS关键词 | CLIMATE ; VULNERABILITY ; ASSESSMENTS ; PREDICTION ; BENEFITS ; IMPACTS ; MODELS ; AREAS ; CITY |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20030302] ; Key R&D project of Sichuan Science and Technology Department[2021YFQ0042] ; National Flash Flood Investigation and Evaluation Project[SHZH-IWHR-57] ; National Key R&D Program of China[2020YFD1100701] ; Science and Technology Project of Xizang Autonomous Region[XZ201901-GA-07] ; Science and Technology Bureau of Altay Region in Yili Kazak Autonomous Prefecture |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000884523100001 |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; Key R&D project of Sichuan Science and Technology Department ; National Flash Flood Investigation and Evaluation Project ; National Key R&D Program of China ; Science and Technology Project of Xizang Autonomous Region ; Science and Technology Bureau of Altay Region in Yili Kazak Autonomous Prefecture |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/187033]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xiong, Junnan |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Southwest Petr Univ, Sch Civil Engn & Geomat, Chengdu 610500, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China 5.Northeast Normal Univ, Sch Geog Sci, Changchun 130024, Peoples R China |
| 推荐引用方式 GB/T 7714 | Duan, Yu,Xiong, Junnan,Cheng, Weiming,et al. Increasing Global Flood Risk in 2005-2020 from a Multi-Scale Perspective[J]. REMOTE SENSING,2022,14(21):21. |
| APA | Duan, Yu.,Xiong, Junnan.,Cheng, Weiming.,Li, Yi.,Wang, Nan.,...&Yang, Jiawei.(2022).Increasing Global Flood Risk in 2005-2020 from a Multi-Scale Perspective.REMOTE SENSING,14(21),21. |
| MLA | Duan, Yu,et al."Increasing Global Flood Risk in 2005-2020 from a Multi-Scale Perspective".REMOTE SENSING 14.21(2022):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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