Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 866, P. 161321 - 161321

Published: Jan. 2, 2023

Language: Английский

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An assessment model for urban resilience based on the pressure-state-response framework and BP-GA neural network

Urban Climate, Journal Year: 2023, Volume and Issue: 49, P. 101543 - 101543

Published: May 1, 2023

Language: Английский

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Towards flood risk reduction: Commonalities and differences between urban flood resilience and risk based on a case study in the Pearl River Delta

International Journal of Disaster Risk Reduction, Journal Year: 2023, Volume and Issue: 86, P. 103568 - 103568

Published: Jan. 31, 2023

Language: Английский

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A System Dynamics Model of Urban Rainstorm and Flood Resilience to Achieve the Sustainable Development Goals

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 96, P. 104631 - 104631

Published: May 5, 2023

Language: Английский

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Flood risk evaluation of the coastal city by the EWM-TOPSIS and machine learning hybrid method

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 106, P. 104435 - 104435

Published: March 28, 2024

Language: Английский

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Enhancing urban flood resilience: A coupling coordinated evaluation and geographical factor analysis under SES-PSR framework

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 101, P. 104243 - 104243

Published: Jan. 3, 2024

Urban flooding has emerged as a significant urban issue in cities worldwide, with China being particularly affected. To effectively manage and mitigate floods, holistic examination of the interaction between subsystems is required to improve flood resilience. However, interactions mechanisms under disaster haven't been addressed adequately previous studies. Therefore, this paper established conceptual framework for illustrating natural-ecological social-economic subsystem considering pressure, state, response within cycle. The objective investigate coupling coordination degree (CCD) these identify driving factors geographical detector model, Yangtze River Delta are selected an empirical example. findings reveal overall upward trend towards whole area notable variability among cities. resilience state dimension emerges crucial aspect determining CCD area. Key coordinated development identified air pollution, global warming, technological innovation, governance power, financial strength, urbanization. Based on factors, presents potential implications that can serve effective guidance offer insights policymakers, planners, researchers their efforts enhance sustainable future.

Language: Английский

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Evaluation analysis and strategy selection in urban flood resilience based on EWM-TOPSIS method and graph model

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 425, P. 138955 - 138955

Published: Sept. 25, 2023

Language: Английский

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A comparative analysis on flood risk assessment and management performances between Beijing and Munich

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 104, P. 107319 - 107319

Published: Oct. 12, 2023

Language: Английский

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Spatial-temporal differentiation and driving factors of ecological resilience in the Yellow River Basin, China

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110763 - 110763

Published: Aug. 8, 2023

Ecological problems are considered to be the key constraint high-quality development in Yellow River Basin (YRB), so accurately grasping and understanding spatial–temporal differentiation characteristics driving factors of ecological resilience (ER) YRB is crucial for sustainable YRB. This study develops a three-dimensional ER evaluation index system comprising resistance (RE), adaptability (AD), recovery (RC), measures 76 cities using entropy method, investigates evolutionary drivers Dagum Gini coefficient (DGC), Kernel density estimation (KDE) geographic detector methods (GDM). The results show that spatial differences showed narrowing trend. primary cause overall was interregional differences. There no significant polarization basin as whole, between three regions gradually weakening. Economic (ED) factor influencing downstream regions. Average annual precipitation (AP) (AD) most important affecting upper middle reaches, respectively. combined impact multiple on significantly more pronounced than individual factors. provides empirical evidence decision-making reference comprehensively grasp current YRB, develop implement differentiated regional conservation strategies.

Language: Английский

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Urban resilience assessment based on “window” data: The case of three major urban agglomerations in China

International Journal of Disaster Risk Reduction, Journal Year: 2023, Volume and Issue: 85, P. 103528 - 103528

Published: Jan. 7, 2023

Language: Английский

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