globalchange  > 过去全球变化的重建
DOI: 10.1029/2019WR025135
WOS记录号: WOS:000477616900038
论文题名:
A Global Data Set for Economic Losses of Extreme Hydrological Events During 1960-2014
作者: Gao, Liping1,2,3; Tao, Bo4; Miao, Yunxuan5; Zhang, Lihua6,7; Song, Xia2,7; Ren, Wei4; He, Liyuan7; Xu, Xiaofeng2,7,8
通讯作者: Xu, Xiaofeng
刊名: WATER RESOURCES RESEARCH
ISSN: 0043-1397
EISSN: 1944-7973
出版年: 2019
卷: 55, 期:6, 页码:5165-5175
语种: 英语
英文关键词: droughts ; extreme hydrological events ; floods ; economic losses ; climate change
WOS关键词: CLIMATE-CHANGE IMPACTS ; NATURAL DISASTERS ; TRENDS ; PRECIPITATION ; ADAPTATION ; FLOODS ; MODEL ; RISK ; VULNERABILITY ; DROUGHTS
WOS学科分类: Environmental Sciences ; Limnology ; Water Resources
WOS研究方向: Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
英文摘要:

A comprehensive data set of extreme hydrological events (EHEs)-floods and droughts, consisting of 2,171 occurrences worldwide, during 1960-2014 was compiled, and then their economic losses were normalized using a price index in U.S. dollar. The data set showed a significant increasing trend of EHEs before 2000, while a slight post-2000 decline. Correspondingly, the EHE-caused economic losses increased obviously before 2000 followed by a slight decrease; the post-2000 decline could be partially attributed to the decreases in drought and flood-prone area or climate adaptation practices. Spatially, Asia experienced most EHEs (969), corresponding to the largest share of economic losses (approximately $868 billion for floods and $50 billion for droughts, respectively), while Oceania had the least EHEs (102) and the least economic losses (approximately $19 billion for floods and $45 billion for droughts). The five countries with the highest EHE-caused economic losses were China, United States, Canada, Australia, and India. Countries that suffered the highest flood-caused economic losses were China, United States, and Canada. This data set provides a quantitative linkage between climate science and economic losses at a global scale, and it is beneficial for the regional climatic impact assessments and strategical development for mitigating climate change impacts.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/140060
Appears in Collections:过去全球变化的重建

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作者单位: 1.Georgia Southern Univ, Dept Finance & Econ, Statesboro, GA 30458 USA
2.Univ Texas El Paso, Dept Biol, El Paso, TX 79968 USA
3.Beijing Inst Technol, Coll Global Talent, Zhuhai, Peoples R China
4.Univ Kentucky, Coll Agr Food & Environm, Dept Plant & Soil Sci, Lexington, KY USA
5.Beijing Normal Univ, Dept Chem, Beijing, Peoples R China
6.Chinese Acad Sci, Inst Bot, Beijing, Peoples R China
7.San Diego State Univ, Dept Biol, Ecol Modeling & Integrat Lab, San Diego, CA 92182 USA
8.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun, Jilin, Peoples R China

Recommended Citation:
Gao, Liping,Tao, Bo,Miao, Yunxuan,et al. A Global Data Set for Economic Losses of Extreme Hydrological Events During 1960-2014[J]. WATER RESOURCES RESEARCH,2019-01-01,55(6):5165-5175
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