A Global Data Set for Economic Losses of Extreme Hydrological Events During 1960-2014

Liping Gao, Bo Tao, Yunxuan Miao, Lihua Zhang, Xia Song, Wei Ren, Liyuan He, Xiaofeng Xu

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)5165-5175
Number of pages11
JournalWater Resources Research
Volume55
Issue number6
DOIs
StatePublished - Jun 2019
Externally publishedYes

Keywords

  • climate change
  • droughts
  • economic losses
  • extreme hydrological events
  • floods

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