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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Total article views: 4,493 (including HTML, PDF, and XML)
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3,583
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92
4,493
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118
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PDF: 818
XML: 92
Total: 4,493
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EndNote: 118
Views and downloads (calculated since 21 Oct 2021)
Cumulative views and downloads
(calculated since 21 Oct 2021)
Total article views: 3,825 (including HTML, PDF, and XML)
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EndNote
3,159
599
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3,825
139
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106
HTML: 3,159
PDF: 599
XML: 67
Total: 3,825
Supplement: 139
BibTeX: 83
EndNote: 106
Views and downloads (calculated since 10 May 2022)
Cumulative views and downloads
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Total article views: 668 (including HTML, PDF, and XML)
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424
219
25
668
116
16
12
HTML: 424
PDF: 219
XML: 25
Total: 668
Supplement: 116
BibTeX: 16
EndNote: 12
Views and downloads (calculated since 21 Oct 2021)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 4,493 (including HTML, PDF, and XML)
Thereof 4,262 with geography defined
and 231 with unknown origin.
Total article views: 3,825 (including HTML, PDF, and XML)
Thereof 3,625 with geography defined
and 200 with unknown origin.
Total article views: 668 (including HTML, PDF, and XML)
Thereof 637 with geography defined
and 31 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...