Urban storm flood simulation using improved SWMM based on K‐means clustering of parameter samples

Urban storm flood simulation using improved SWMM based on K‐means clustering of parameter samples

Abstract To address the two problems of unclear delineation of sub‐catchment and complicated and cumbersome parameter rate determination in the Storm Water Management Model (SWMM), this study proposes a rapid construction method of SWMM based on the principle of single urban functional area combined...

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Bibliographic Details
Main Authors: Yue Sun, Chengshuai Liu, Xian Du, Fan Yang, Yichen Yao, Shan‐e‐hyder Soomro, Caihong Hu
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:Journal of Flood Risk Management
Subjects:
division of HRU
flooding nodes
K‐means cluster algorithm parameter determination
SWMM
urban storm flood model
Online Access:https://doi.org/10.1111/jfr3.12826

Internet

https://doi.org/10.1111/jfr3.12826

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