期刊
WATER SUPPLY
卷 21, 期 4, 页码 1629-1648出版社
IWA PUBLISHING
DOI: 10.2166/ws.2021.001
关键词
bivariate frequency; copula; extreme precipitation; flood risk analysis; return periods; Taihu Basin
资金
- National Key Research and Development Program of China [2018YFC1508200]
This study investigates the genetic mechanisms and characteristics of floods by analyzing the response of flood events to extreme precipitation using copula functions. The research identifies dangerous flood probabilities under different return periods in the Xitiaoxi and Dongtiaoxi catchments of the Taihu Basin, providing guidance for flood control safety and water resource management.
Flood events are typically triggered by extreme precipitation in rain-dominant basins. In this study, to better understand the genetic mechanisms and characteristics of floods, copula functions are used to analyze the response of flood events to extreme precipitation. The coincidence probabilities of the typical extreme flood and precipitation events are calculated; different return periods of their arbitrary combinations are calculated, whereas the dangerous domains for flood control under different return periods are identified; furthermore, flood risk analysis under different extreme precipitation scenarios is performed via their conditional exceedance probabilities. The Xitiaoxi catchment (XC) and Dongtiaoxi catchment (DC) in the Zhexi Region of the Taihu Basin are selected as the study area. The results show that in four scenarios with precipitation frequencies of 80%, 90%, 93.33%, and 95%, the probabilities of the dangerous flood are 9.72%, 10.57%, 10.86%, and 11.01% in the XC, respectively, and 5.91%, 6.31%, 6.44%, and 6.51% in the DC, respectively. This study provides a practical basis and guidance for the computation of rainstorm designs, management of flood control safety, and water resource scheduling in the Taihu Basin.
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