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

Author:

Yuan Haojun,Wang MoORCID,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.

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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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