Fast Prediction of Urban Flooding Water Depth Based on CNN−LSTM

Fast Prediction of Urban Flooding Water Depth Based on CNN−LSTM

Rapid prediction of urban flooding is an important measure to reduce the risk of flooding and to protect people’s property. In order to meet the needs of emergency flood control, this paper constructs a rapid urban flood prediction model based on a machine learning approach. Using the simulation res...

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Bibliographic Details
Main Authors: Jian Chen, Yaowei Li, Shanju Zhang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Water
Subjects:
urban flooding
convolutional neural networks (CNN)
long and short-term memory networks (LSTM)
fast prediction
Online Access:https://www.mdpi.com/2073-4441/15/7/1397

Internet

https://www.mdpi.com/2073-4441/15/7/1397

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