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: 4,888 (including HTML, PDF, and XML)
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3,858
927
103
4,888
298
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138
HTML: 3,858
PDF: 927
XML: 103
Total: 4,888
Supplement: 298
BibTeX: 118
EndNote: 138
Views and downloads (calculated since 21 Oct 2021)
Cumulative views and downloads
(calculated since 21 Oct 2021)
Total article views: 4,186 (including HTML, PDF, and XML)
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EndNote
3,416
693
77
4,186
162
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123
HTML: 3,416
PDF: 693
XML: 77
Total: 4,186
Supplement: 162
BibTeX: 97
EndNote: 123
Views and downloads (calculated since 10 May 2022)
Cumulative views and downloads
(calculated since 10 May 2022)
Total article views: 702 (including HTML, PDF, and XML)
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442
234
26
702
136
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15
HTML: 442
PDF: 234
XML: 26
Total: 702
Supplement: 136
BibTeX: 21
EndNote: 15
Views and downloads (calculated since 21 Oct 2021)
Cumulative views and downloads
(calculated since 21 Oct 2021)
Viewed (geographical distribution)
Total article views: 4,888 (including HTML, PDF, and XML)
Thereof 4,650 with geography defined
and 238 with unknown origin.
Total article views: 4,186 (including HTML, PDF, and XML)
Thereof 3,980 with geography defined
and 206 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...
