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Assessment of urban flood resilience based on the socio-ecological composite index model: a case study in Wuhua District, Kunming City, China

Authors :
Zhiqiang Xie
Donghui Hu
Fengshan Jiang
Xingfeng Fu
Rong Li
Daoyang Zheng
Lei Zhao
Jiarui Xu
Xiangdong Yuan
Yinli Bao
Haibin Zhou
Bin Wang
Qing Wang
Source :
Water Science and Technology, Vol 89, Iss 2, Pp 252-270 (2024)
Publication Year :
2024
Publisher :
IWA Publishing, 2024.

Abstract

Global climate change and rapid urbanization have increased the frequency of flooding, making urban flood resilience a critical objective. This article introduces a methodology for assessing urban flood resilience, utilizing a social-ecological synthesis index that integrates geographical and temporal data with Geographic Information System (GIS). The study focuses on ten administrative subdistricts in Wuhua District, Kunming City, China, and selects 18 social-ecological indicators. These indicators, chosen from social and ecological perspectives, are weighted using the entropy weight method to determine their significance in the assessment system. By combining scores for each subdistrict, the study quantifies flood resilience and creates a spatial distribution map using ArcGIS. Key findings reveal that out of the ten administrative subdistricts, five in Wuhua District, particularly in the core urban area of Kunming, demonstrate strong overall flood resilience. Influenced by social-ecological indicators, there is significant spatial differentiation in flood resilience within Wuhua District, with a decreasing trend radiating from the city center to areas farther from the urban core. The research indicates that regions with well-established transportation infrastructure, a wide distribution of government institutions, improved water management facilities, and a substantial population with higher education levels contribute significantly to enhancing urban flood resilience. HIGHLIGHTS Analyzing urban flood resistance capacity from the perspective of resilience.; Considering the performance of both social and ecological dimensions in urban flood resilience.; Quantifying urban flood resilience through comprehensive index method.; Using geographic information technology to analyse the spatial characteristics of urban flood resilience.;

Details

Language :
English
ISSN :
02731223 and 19969732
Volume :
89
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Water Science and Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.5f1c8dfa7a474706ae7cd3b5768da72c
Document Type :
article
Full Text :
https://doi.org/10.2166/wst.2023.413