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10 February 2023 Evaluation of urban resilience against waterlogging disasters by using GIS technology: a case study of Shenzhen, China
Fei Gao, Huimin Wang, Weixuan Ao, Xiang Guo
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Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 1255209 (2023) https://doi.org/10.1117/12.2667518
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China
Abstract
As the main component of urban problems, urban waterlogging disasters restrict the development of urbanization and the sustainable development of cities. Based on the three core characteristics of resilient cities, including adaptability, coping ability and recovery, this paper uses an entropy method to establish an urban resilience evaluation index system for waterlogging disasters, which consists of disaster-causing, disaster-resistant and disaster-bearing factors. Then, the resilience index of distinct districts in Shenzhen against waterlogging disasters is analyzed based on GIS technology, and the relevant improvement strategies are proposed. The results show that the resilience level from high to low is Baoan District, Futian District, Nanshan District, Longgang District, Longhua District, Luohu District, Guangming District, Pingshan District, Dapeng New District and Yantian District, and the urban resilience level can be improved by updating urban drainage facilities, strengthening ecological protection and environmental construction, and improving urban disaster-bearing soft systems.
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Fei Gao, Huimin Wang, Weixuan Ao, and Xiang Guo "Evaluation of urban resilience against waterlogging disasters by using GIS technology: a case study of Shenzhen, China", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 1255209 (10 February 2023); https://doi.org/10.1117/12.2667518
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KEYWORDS
Data conversion
Geographic information systems
Resistance
Technology
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