{"title":"Urban storm water prediction by applying machine learning techniques and geomorphological characteristics","authors":"Pin-Chun Huang","doi":"10.1080/02626667.2024.2339923","DOIUrl":null,"url":null,"abstract":"The Storm Water Management Model (SWMM) is a reliable software for simulating stormwater runoff in combined drainage facilities. However, it faces challenges in efficiency, especially when executin...","PeriodicalId":13036,"journal":{"name":"Hydrological Sciences Journal","volume":"37 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Sciences Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02626667.2024.2339923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Storm Water Management Model (SWMM) is a reliable software for simulating stormwater runoff in combined drainage facilities. However, it faces challenges in efficiency, especially when executin...
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