Evaluating the association between morphological characteristics of urban land and pluvial floods using machine learning methods-Reference-Cited by-同舟云学术

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Evaluating the association between morphological characteristics of urban land and pluvial floods using machine learning methods

Published:2023-12 Issue: Volume:99 Page:104891
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Lin Jinyao^ORCID,Zhang Wenli^ORCID,Wen Youyue,Qiu Suixuan

Funder

National Natural Science Foundation of China

Philosophy and Social Science Foundation of Hunan Province

Guangzhou Municipal Science and Technology Project

National College Students Innovation and Entrepreneurship Training Program

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference78 articles.

1. The impact of urban green space morphology on PM2.5 pollution in Wuhan, China: A novel multiscale spatiotemporal analytical framework;Bi;Building and Environment,2022

2. Random forests;Breiman;Machine Learning,2001

3. Influence of urban pattern on inundation flow in floodplains of lowland rivers;Bruwier;Science of the Total Environment,2018

4. Influential factors affecting protective coping behaviors of flood disaster: A case study in Shenzhen, China;Cao;International Journal of Environmental Research and Public Health,2020

5. Flash-flood hazard susceptibility mapping in Kangsabati River Basin, India;Chakrabortty;Geocarto International,2022

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1. Exploring Traffic Planning Networks across Multiple Scales Based on Urban Morphology: A Case Study of Nanjing, China;Journal of Urban Planning and Development;2024-12

2. Spatiotemporal Evolutionary Features and Disorder Factor Diagnosis of Urban Resilience;Journal of Urban Planning and Development;2024-12

3. Investigating the influence of urban morphology on pluvial flooding: Insights from urban catchments in England (UK);Science of The Total Environment;2024-11

4. Morphology's importance for farmland landscape pattern assessment and optimization: A case study of Jiangsu, China;Applied Geography;2024-10

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