Matrix scenario-based urban flooding damage prediction via convolutional neural network-Reference-Cited by-同舟云学术

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Matrix scenario-based urban flooding damage prediction via convolutional neural network

Published:2024-01 Issue: Volume:349 Page:119470
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Yuan Haojun,Wang Mo^ORCID,Li Jianjun,Zhang Dongqing,Muhammad Adnan Ikram Rana,Su Jin,Zhou Shiqi,Wang Yuankai,Zhang Qifei

Funder

Guangzhou Municipal Science and Technology Bureau

Basic and Applied Basic Research Foundation of Guangdong Province

Maoming Municipal Science and Technology Bureau

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference53 articles.

1. The relative importance of different flood-generating mechanisms across Europe;Berghuijs;Water Resour. Res.,2019

2. Flood spatial modeling in Northern Iran using remote sensing and GIS: a comparison between Evidential belief functions and its ensemble with a multivariate logistic regression model;Bui;Rem. Sens.,2019

3. Assessment of urban flood vulnerability using the social-ecological-technological systems framework in six US cities;Chang;Sustain. Cities Soc.,2021

4. Fast prediction of urban flooding water depth based on CNN-lstm;Chen;Water,2023

5. Towards better flood risk management: assessing flood risk and investigating the potential mechanism based on machine learning models;Chen;J. Environ. Manag.,2021

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