Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographic Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing, 100101, China
Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographic Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing, 100101, China
Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographic Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing, 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
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3,840
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PDF: 926
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EndNote: 137
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Cumulative views and downloads
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Total article views: 4,167 (including HTML, PDF, and XML)
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3,398
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PDF: 692
XML: 77
Total: 4,167
Supplement: 162
BibTeX: 97
EndNote: 122
Views and downloads (calculated since 10 May 2022)
Cumulative views and downloads
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Total article views: 702 (including HTML, PDF, and XML)
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442
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Total: 702
Supplement: 135
BibTeX: 21
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Views and downloads (calculated since 21 Oct 2021)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 4,869 (including HTML, PDF, and XML)
Thereof 4,632 with geography defined
and 237 with unknown origin.
Total article views: 4,167 (including HTML, PDF, and XML)
Thereof 3,962 with geography defined
and 205 with unknown origin.
Total article views: 702 (including HTML, PDF, and XML)
Thereof 670 with geography defined
and 32 with unknown origin.
The impact of extreme events is increasing with global warming. Based on future scenario data and an improved quantitative assessment model of natural-disaster risk, this study analyses the spatial and temporal patterns of floods in China at 1.5 °C and 2 °C of global warming, quantitatively assesses the socioeconomic risks posed by floods, and determines the integrated risk levels. Global warming of 1.5 °C can effectively reduce the population affected and the economic risks of floods.
The impact of extreme events is increasing with global warming. Based on future scenario data...
