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: 4,591 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,649
849
93
4,591
261
102
125
HTML: 3,649
PDF: 849
XML: 93
Total: 4,591
Supplement: 261
BibTeX: 102
EndNote: 125
Views and downloads (calculated since 21 Oct 2021)
Cumulative views and downloads
(calculated since 21 Oct 2021)
Total article views: 3,918 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,222
628
68
3,918
143
85
112
HTML: 3,222
PDF: 628
XML: 68
Total: 3,918
Supplement: 143
BibTeX: 85
EndNote: 112
Views and downloads (calculated since 10 May 2022)
Cumulative views and downloads
(calculated since 10 May 2022)
Total article views: 673 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
427
221
25
673
118
17
13
HTML: 427
PDF: 221
XML: 25
Total: 673
Supplement: 118
BibTeX: 17
EndNote: 13
Views and downloads (calculated since 21 Oct 2021)
Cumulative views and downloads
(calculated since 21 Oct 2021)
Viewed (geographical distribution)
Total article views: 4,591 (including HTML, PDF, and XML)
Thereof 4,354 with geography defined
and 237 with unknown origin.
Total article views: 3,918 (including HTML, PDF, and XML)
Thereof 3,712 with geography defined
and 206 with unknown origin.
Total article views: 673 (including HTML, PDF, and XML)
Thereof 642 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...
