Multivariate flood risk analysis at a watershed scale considering climatic factors

Yuqin Gao, Zichen Guo, Dongdong Wang, Zhenxing Zhang, Yunping Liu

Research output: Contribution to journalArticlepeer-review

Abstract

Based on the constructed SWAT model in the Qinhuai River Basin, the hydrological response of flooding under different scenarios of temperature and rainfall change is analyzed. The Copula function is then used to calculate and analyze the multivariate flood risk. The results show that the flood peaks increase with the increase of precipitation and decrease with the increase of temperature. The hydrological response of light floods to temperature changes is stronger than that of medium and heavy floods. Additionally, the temperature drop and the precipitation increase lead to a higher flood risk. The flood risk of flood peaks is more sensitive to changes in precipitation.

Original languageEnglish (US)
Article number1821
JournalWater (Switzerland)
Volume10
Issue number12
DOIs
StatePublished - Dec 10 2018

Keywords

  • ISWS
  • Copula function
  • Climate scenario
  • Flood risk
  • Hydrological response

ASJC Scopus subject areas

  • Water Science and Technology
  • Geography, Planning and Development
  • Aquatic Science
  • Biochemistry

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