Community future climate resilience assessment based on CMIP6, A case study of communities along an urban-rural gradient in Shanghai DOI

Caihua Yang,

Hao Wu, Changkun Xie

и другие.

Urban Climate, Год журнала: 2024, Номер 56, С. 101966 - 101966

Опубликована: Июль 1, 2024

Язык: Английский

Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China DOI
Shuai Xiao, Lei Zou, Jun Xia

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 866, С. 161321 - 161321

Опубликована: Янв. 2, 2023

Язык: Английский

Процитировано

56

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

Liudan Jiao,

Lvwen Wang,

Hao Lu

и другие.

Urban Climate, Год журнала: 2023, Номер 49, С. 101543 - 101543

Опубликована: Май 1, 2023

Язык: Английский

Процитировано

56

Towards flood risk reduction: Commonalities and differences between urban flood resilience and risk based on a case study in the Pearl River Delta DOI
Jiaxuan Zheng, Guoru Huang

International Journal of Disaster Risk Reduction, Год журнала: 2023, Номер 86, С. 103568 - 103568

Опубликована: Янв. 31, 2023

Язык: Английский

Процитировано

49

A System Dynamics Model of Urban Rainstorm and Flood Resilience to Achieve the Sustainable Development Goals DOI
Wen Li, Rengui Jiang, Hao Wu

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 96, С. 104631 - 104631

Опубликована: Май 5, 2023

Язык: Английский

Процитировано

46

Flood risk evaluation of the coastal city by the EWM-TOPSIS and machine learning hybrid method DOI
Ziyuan Luo, Jian Tian, Jian Zeng

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 106, С. 104435 - 104435

Опубликована: Март 28, 2024

Язык: Английский

Процитировано

21

Enhancing urban flood resilience: A coupling coordinated evaluation and geographical factor analysis under SES-PSR framework DOI Creative Commons
Shi‐Yao Zhu, Haibo Feng, Mehrdad Arashpour

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 101, С. 104243 - 104243

Опубликована: Янв. 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.

Язык: Английский

Процитировано

19

Evaluation analysis and strategy selection in urban flood resilience based on EWM-TOPSIS method and graph model DOI
Juan Ji, Dayong Wang

Journal of Cleaner Production, Год журнала: 2023, Номер 425, С. 138955 - 138955

Опубликована: Сен. 25, 2023

Язык: Английский

Процитировано

41

Spatial-temporal differentiation and driving factors of ecological resilience in the Yellow River Basin, China DOI Creative Commons
Huang Jie,

Pengshu Zhong,

Jize Zhang

и другие.

Ecological Indicators, Год журнала: 2023, Номер 154, С. 110763 - 110763

Опубликована: Авг. 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.

Язык: Английский

Процитировано

31

A comparative analysis on flood risk assessment and management performances between Beijing and Munich DOI
Lu Peng, Yifei Wang, Liang Emlyn Yang

и другие.

Environmental Impact Assessment Review, Год журнала: 2023, Номер 104, С. 107319 - 107319

Опубликована: Окт. 12, 2023

Язык: Английский

Процитировано

31

Evaluation framework ACR-UFDR for urban form disaster resilience under rainstorm and flood scenarios: A case study in Nanjing, China DOI
Yixin Liang, Chunhui Wang, Gang Chen

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 107, С. 105424 - 105424

Опубликована: Апрель 8, 2024

Язык: Английский

Процитировано

12