Coincidence Risk Analysis of Floods Using Multivariate Copulas: Case Study of Jinsha River and Min River, China-Reference-Cited by-同舟云学术

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Coincidence Risk Analysis of Floods Using Multivariate Copulas: Case Study of Jinsha River and Min River, China

Published:2019-02 Issue:2 Volume:24 Page:05018030
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Peng Yang¹,Shi Yulong²,Yan Hongxiang³,Chen Kai²,Zhang Jipeng²

Affiliation:

1. Professor, School of Renewable Energy, North China Electric Power Univ., Beijing 102206, China (corresponding author).

2. Postgraduate Student, School of Renewable Energy, North China Electric Power Univ., Beijing 102206, China.

3. Hydrology Technical Group, Pacific Northwest National Laboratory, Richland, WA 99354.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0001744

Reference94 articles.

1. Global warming and changes in risk of concurrent climate extremes: Insights from the 2014 California drought

2. A class of bivariate distributions including the bivariate logistic

3. Evaluation of regional flood frequency analysis with a region of influence approach

4. Satellite nighttime lights reveal increasing human exposure to floods worldwide

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4. The Copula Application for Analysis of the Flood Threat at the River Confluences in the Danube River Basin in Slovakia;Water;2023-03-04

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