Fast simulation and prediction of urban pluvial floods using a deep convolutional neural network model-Reference-Cited by-同舟云学术

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Fast simulation and prediction of urban pluvial floods using a deep convolutional neural network model

Published:2023-09 Issue: Volume:624 Page:129945
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Liao Yaoxing,Wang Zhaoli,Chen Xiaohong,Lai Chengguang

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference92 articles.

1. A simple raster-based model for flood inundation simulation;Bates;J. Hydrol.,2000

2. Deep learning methods for flood mapping: a review of existing applications and future research directions;Bentivoglio;Hydrol. Earth Syst. Sci.,2022

3. An ensemble neural network model for real-time prediction of urban floods;Berkhahn;J. Hydrol.,2019

4. A rapid flood inundation model for hazard mapping based on least squares support vector machine regression;Bermúdez;J. Flood Risk Manage.,2019

5. Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study;Bisht;Nat. Hazard.,2016

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