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: 4,975 (including HTML, PDF, and XML)
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3,923
947
105
4,975
303
121
141
HTML: 3,923
PDF: 947
XML: 105
Total: 4,975
Supplement: 303
BibTeX: 121
EndNote: 141
Views and downloads (calculated since 21 Oct 2021)
Cumulative views and downloads
(calculated since 21 Oct 2021)
Total article views: 4,264 (including HTML, PDF, and XML)
HTML
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EndNote
3,472
713
79
4,264
165
100
126
HTML: 3,472
PDF: 713
XML: 79
Total: 4,264
Supplement: 165
BibTeX: 100
EndNote: 126
Views and downloads (calculated since 10 May 2022)
Cumulative views and downloads
(calculated since 10 May 2022)
Total article views: 711 (including HTML, PDF, and XML)
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451
234
26
711
138
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15
HTML: 451
PDF: 234
XML: 26
Total: 711
Supplement: 138
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: 4,975 (including HTML, PDF, and XML)
Thereof 4,736 with geography defined
and 239 with unknown origin.
Total article views: 4,264 (including HTML, PDF, and XML)
Thereof 4,056 with geography defined
and 208 with unknown origin.
Total article views: 711 (including HTML, PDF, and XML)
Thereof 680 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...