Flood risk assessment and mitigation for metro stations: An evidential-reasoning-based optimality approach considering uncertainty of subjective parameters-Reference-Cited by-同舟云学术

Flood risk assessment and mitigation for metro stations: An evidential-reasoning-based optimality approach considering uncertainty of subjective parameters

Published:2023-10 Issue: Volume:238 Page:109453
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

He Renfei,Zhang Limao,Tiong Robert L.K.

Funder

Nantong University

National Research Foundation Singapore

Nanjing University

Public Utilities Board - Singapore

Singapore's National Water Agency

National Research Foundation

Nanyang Technological University

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference61 articles.

1. Drivers of future urban flood risk;O'Donnell;Philosoph Transact Roy Soc A: Math Phys Eng Sci,2020

2. Comparison of urbanization and climate change impacts on urban flood volumes: importance of urban planning and drainage adaptation;Zhou;Sci Total Environ,2019

3. Climate change and rainfall intensity-duration-frequency curves: overview of science and guidelines for adaptation;Martel;J Hydrol Eng,2021

4. Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning;He;Knowl Based Syst,2022

5. A review of the current status of flood modelling for urban flood risk management in the developing countries;Nkwunonwo;Sci Afr,2020

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