Simulation of Urban Flood Process Based on a Hybrid LSTM-SWMM Model

This study proposes a novel hybrid LSTM-SWMM model that integrates the advantages of the SWMM model and the LSTM neural network for the first time. The aim is to build an efficient and rapid model that considers the physical mechanism, in order to effectively simulate urban floods. The results indic...

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Veröffentlicht in:Water resources management 2023-10, Vol.37 (13), p.5171-5187
Hauptverfasser: Zhao, Chenchen, Liu, Chengshuai, Li, Wenzhong, Tang, Yehai, Yang, Fan, Xu, Yingying, Quan, Liyu, Hu, Caihong
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Sprache:eng
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