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Open AccessArticle

Multivariate Flood Risk Analysis at a Watershed Scale Considering Climatic Factors

College of Water Conservancy and Hydropower Engineering, Hohai University, No. 1, Xi Kang Rd., Gu Lou District, Nanjing 210098, China
Illinois State Water Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA
Author to whom correspondence should be addressed.
Water 2018, 10(12), 1821;
Received: 22 October 2018 / Revised: 25 November 2018 / Accepted: 28 November 2018 / Published: 10 December 2018
(This article belongs to the Special Issue Effects of Climate Change on Water Resources)
PDF [2972 KB, uploaded 11 December 2018]


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. View Full-Text
Keywords: climate scenario; Copula function; hydrological response; flood risk climate scenario; Copula function; hydrological response; flood risk

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Gao, Y.; Guo, Z.; Wang, D.; Zhang, Z.; Liu, Y. Multivariate Flood Risk Analysis at a Watershed Scale Considering Climatic Factors. Water 2018, 10, 1821.

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