基于开源信息和SDGSAT-1夜间灯光数据的广州市洪水灾害风险与城市韧性评价

doi:10.13474/j.cnki.11-2246.2024.1127

测绘通报 ›› 2024, Vol. 0 ›› Issue (11): 156-161.doi: 10.13474/j.cnki.11-2246.2024.1127

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基于开源信息和SDGSAT-1夜间灯光数据的广州市洪水灾害风险与城市韧性评价

刘金沧^1,2, 董静³, 王欢欢¹, 吕明阳^4,5, 丁翼星^4,6

1. 广东省国土资源测绘院, 广东广州 510670;
2. 自然资源部华南热带亚热带自然资源监测重点实验室, 广东广州 510670;
3. 中国水利水电科学研究院, 北京 100038;
4. 可持续发展大数据国际研究中心, 北京 100094;
5. 南京大学空间地球科学研究院, 江苏苏州 215163;
6. 中国科学院空天信息创新研究院, 北京 100094

收稿日期:2024-07-12 发布日期:2024-12-05
作者简介:刘金沧(1987-),男,硕士,高级工程师,主要从事摄影测量与遥感应用及应急测绘领域研究工作。E-mail:liujincang_whu@126.com
基金资助:
广东省科技计划(2021B1212100003)

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

LIU Jincang^1,2, DONG Jing³, WANG Huanhuan¹, Lü Mingyang^4,5, DING Yixing^4,6

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

摘要/Abstract

摘要： 广州市是我国31座重点防洪城市之一,具有暴雨洪水多、过境洪水多、台风影响大等特点。开展洪水灾害风险和城市韧性评价研究,可为广州市建设韧性城市、完善城市现代化治理、实现可持续发展提供科学参考。本文使用开源的地理信息和统计数据,结合SDGSAT-1的夜间灯光数据,构建了18个洪水评价指标,利用层次分析法综合赋权,形成广州市洪水灾害风险评价模型。本文还细化了18个指标对广州市2013—2022年城市韧性进行评价。综合分析结果表明,广州市从化北部山区、从化-花都-白云流溪河附近,增城东江-增江附近,以及城区人口聚集区是相对高风险区域。另外,城市韧性显著提升,但是在调整人口结构和提高公共安全支出方面还有提升空间。

关键词: 洪水灾害风险, SDGSAT-1, 层析分析法, 城市韧性, CRITIC

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

中图分类号:

P208

刘金沧, 董静, 王欢欢, 吕明阳, 丁翼星. 基于开源信息和SDGSAT-1夜间灯光数据的广州市洪水灾害风险与城市韧性评价[J]. 测绘通报, 2024, 0(11): 156-161.

LIU Jincang, DONG Jing, WANG Huanhuan, Lü Mingyang, DING Yixing. Flood disaster risk and urban resilience assessment in Guangzhou based on open-source information and SDGSAT-1 nighttime light data[J]. Bulletin of Surveying and Mapping, 2024, 0(11): 156-161.

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基于开源信息和SDGSAT-1夜间灯光数据的广州市洪水灾害风险与城市韧性评价

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

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