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: 5,037 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,964
963
110
5,037
314
125
150
HTML: 3,964
PDF: 963
XML: 110
Total: 5,037
Supplement: 314
BibTeX: 125
EndNote: 150
Views and downloads (calculated since 21 Oct 2021)
Cumulative views and downloads
(calculated since 21 Oct 2021)
Total article views: 4,317 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,506
727
84
4,317
168
104
134
HTML: 3,506
PDF: 727
XML: 84
Total: 4,317
Supplement: 168
BibTeX: 104
EndNote: 134
Views and downloads (calculated since 10 May 2022)
Cumulative views and downloads
(calculated since 10 May 2022)
Total article views: 720 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
458
236
26
720
146
21
16
HTML: 458
PDF: 236
XML: 26
Total: 720
Supplement: 146
BibTeX: 21
EndNote: 16
Views and downloads (calculated since 21 Oct 2021)
Cumulative views and downloads
(calculated since 21 Oct 2021)
Viewed (geographical distribution)
Total article views: 5,037 (including HTML, PDF, and XML)
Thereof 4,795 with geography defined
and 242 with unknown origin.
Total article views: 4,317 (including HTML, PDF, and XML)
Thereof 4,108 with geography defined
and 209 with unknown origin.
Total article views: 720 (including HTML, PDF, and XML)
Thereof 687 with geography defined
and 33 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...