Urban Flooding Prediction Method Based on the Combination of LSTM Neural Network and Numerical Model

At present, urban flood risk analysis and forecasting and early warning mainly use numerical models for simulation and analysis, which are more accurate and can reflect urban flood risk well. However, the calculation speed of numerical models is slow and it is difficult to meet the needs of daily fl...

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Detalles Bibliográficos
Autores principales: Chen, Jian, Li, Yaowei, Zhang, Changhui, Tian, Yangyang, Guo, Zhikai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858961/
https://www.ncbi.nlm.nih.gov/pubmed/36673799
http://dx.doi.org/10.3390/ijerph20021043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858961/
https://www.ncbi.nlm.nih.gov/pubmed/36673799
http://dx.doi.org/10.3390/ijerph20021043

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