Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025135 |
A Global Data Set for Economic Losses of Extreme Hydrological Events During 1960-2014 | |
Gao, Liping1,2,3; Tao, Bo4; Miao, Yunxuan5; Zhang, Lihua6,7; Song, Xia2,7; Ren, Wei4; He, Liyuan7; Xu, Xiaofeng2,7,8 | |
2019-06-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:6页码:5165-5175 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Peoples R China |
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. |
英文关键词 | droughts extreme hydrological events floods economic losses climate change |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000477616900038 |
WOS关键词 | CLIMATE-CHANGE IMPACTS ; NATURAL DISASTERS ; TRENDS ; PRECIPITATION ; ADAPTATION ; FLOODS ; MODEL ; RISK ; VULNERABILITY ; DROUGHTS |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/183992 |
专题 | 资源环境科学 |
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 |
推荐引用方式 GB/T 7714 | 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,2019,55(6):5165-5175. |
APA | Gao, Liping.,Tao, Bo.,Miao, Yunxuan.,Zhang, Lihua.,Song, Xia.,...&Xu, Xiaofeng.(2019).A Global Data Set for Economic Losses of Extreme Hydrological Events During 1960-2014.WATER RESOURCES RESEARCH,55(6),5165-5175. |
MLA | Gao, Liping,et al."A Global Data Set for Economic Losses of Extreme Hydrological Events During 1960-2014".WATER RESOURCES RESEARCH 55.6(2019):5165-5175. |
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