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
Viewed
Total article views: 4,534 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,614
828
92
4,534
260
100
119
HTML: 3,614
PDF: 828
XML: 92
Total: 4,534
Supplement: 260
BibTeX: 100
EndNote: 119
Views and downloads (calculated since 21 Oct 2021)
Cumulative views and downloads
(calculated since 21 Oct 2021)
Total article views: 3,864 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,189
608
67
3,864
143
84
107
HTML: 3,189
PDF: 608
XML: 67
Total: 3,864
Supplement: 143
BibTeX: 84
EndNote: 107
Views and downloads (calculated since 10 May 2022)
Cumulative views and downloads
(calculated since 10 May 2022)
Total article views: 670 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
425
220
25
670
117
16
12
HTML: 425
PDF: 220
XML: 25
Total: 670
Supplement: 117
BibTeX: 16
EndNote: 12
Views and downloads (calculated since 21 Oct 2021)
Cumulative views and downloads
(calculated since 21 Oct 2021)
Viewed (geographical distribution)
Total article views: 4,534 (including HTML, PDF, and XML)
Thereof 4,297 with geography defined
and 237 with unknown origin.
Total article views: 3,864 (including HTML, PDF, and XML)
Thereof 3,658 with geography defined
and 206 with unknown origin.
Total article views: 670 (including HTML, PDF, and XML)
Thereof 639 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...
