Bulletin of Surveying and Mapping ›› 2024, Vol. 0 ›› Issue (11): 156-161.doi: 10.13474/j.cnki.11-2246.2024.1127

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Flood disaster risk and urban resilience assessment in Guangzhou based on open-source information and SDGSAT-1 nighttime light data

LIU Jincang1,2, DONG Jing3, WANG Huanhuan1, Lü Mingyang4,5, DING Yixing4,6   

  1. 1. Surveying and Mapping Institute Lands and Resource Department of Guangdong Province, Guangzhou 510670, China;
    2. Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou 510670, China;
    3. China Institute of Water Resources and Hydropower Research, Beijing 100038, China;
    4. International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China;
    5. Institute of Space Earth Science, Nanjing University, Suzhou 215163, China;
    6. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • Received:2024-07-12 Published:2024-12-05

Abstract: Guangzhou is one of the 31 key flood control cities in China, which has the characteristics of heavy rain flood, transit flood and heavy typhoon impact. Researches on flood disaster risk and urban resilience assessment can provide scientific references for building a resilient city, improving modern urban governance, and achieving sustainable development in Guangzhou. This paper uses open-source geo-information and statistical data, combined with the nighttime light data of SDGSAT-1, to construct 18 flood evaluation indicators. Combined with the analytic hierarchy process, a model for flood disaster risk assessment in Guangzhou is formed. In addition, this paper refines 18 indicators to evaluate the urban resilience of Guangzhou from 2013 to 2022. The comprehensive analysis results indicate that the northern mountainous area of Conghua, the vicinity of Liuxi River in Conghua-Huadu-Baiyun, the Dongjiang-Zengjiang area of Zengcheng, and the main urban area with concentrated population are relatively high-risk areas. It also indicates that the urban resilience has significantly improved. However, there is still room for improvement in terms of adjusting population structure and increasing public safety expenditures.

Key words: flood disaster risk, SDGSAT-1, analytic hierarchy process, urban resilience, CRITIC

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