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Enhancing solids deposit prediction in gully pots with explainable hybrid models: A review

Urban flooding has made it necessary to gain a better understanding of how well gully pots perform when overwhelmed by solids deposition due to various climatic and anthropogenic variables. This study investigates solids deposition in gully pots through the review of eight models, comprising four de...

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Principais autores: Chinedu Ekechukwu, Antonia Chatzirodou, Hazel Beaumont, Eyo Eyo, Chad Staddon
פורמט: Artigo
שפה:Inglês
יצא לאור: IWA Publishing 2024-04-01
סדרה:Water Science and Technology
נושאים:
explainable hybrid models
gully pots
machine learning
solids deposition prediction
גישה מקוונת:http://wst.iwaponline.com/content/89/8/1891
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