TY - JOUR
T1 - A Global Data Set for Economic Losses of Extreme Hydrological Events During 1960-2014
AU - Gao, Liping
AU - Tao, Bo
AU - Miao, Yunxuan
AU - Zhang, Lihua
AU - Song, Xia
AU - Ren, Wei
AU - He, Liyuan
AU - Xu, Xiaofeng
N1 - Publisher Copyright:
©2019. American Geophysical Union. All Rights Reserved.
PY - 2019/6
Y1 - 2019/6
N2 - 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.
AB - 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.
KW - climate change
KW - droughts
KW - economic losses
KW - extreme hydrological events
KW - floods
UR - http://www.scopus.com/inward/record.url?scp=85068153955&partnerID=8YFLogxK
U2 - 10.1029/2019WR025135
DO - 10.1029/2019WR025135
M3 - Article
AN - SCOPUS:85068153955
SN - 0043-1397
VL - 55
SP - 5165
EP - 5175
JO - Water Resources Research
JF - Water Resources Research
IS - 6
ER -