| 粤港澳大湾区城市群自然灾害综合承灾能力评价 |
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| 引用本文： | 王钧,宫清华,宇岩,袁少雄,陈军,黄光庆.粤港澳大湾区城市群自然灾害综合承灾能力评价[J].地理研究,2020,39(9):2189-2199. |
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| 作者姓名： | 王钧 宫清华 宇岩 袁少雄 陈军 黄光庆 |
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| 作者单位： | 1.广州地理研究所 广东省地理空间信息技术与应用重点实验室, 广州 5100702.南方海洋科学与工程广东省实验室, 广州 5114583.广东省科技图书馆 广东省科技信息与发展战略研究所, 广州 510070 |
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| 基金项目： | 南方海洋科学与工程广东省实验室项目(GML2019ZD0301);广东省科技计划项目(2018B030324002);广东省科学院项目(2020GDASYL-20200301003);广东省科学院项目(2020GDASYL-040101);国家自然科学基金项目(41671506);国家自然科学基金项目(41977413);国家自然科学基金项目(41771024) |
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| 摘 要： | 随着全球气候变化,城市自然灾害日益频繁,城市综合承灾能力越来越受到关注。基于城市人口、社会、经济、环境、交通等承灾体特征,建立粤港澳大湾区城市群自然灾害综合承灾能力评价指标体系;基于客观赋权的信息熵法,建立城市综合承灾能力定量分析评价模型;在此基础上,计算得到粤港澳大湾区城市综合承灾能力指数,分析各城市自然灾害综合承灾能力水平和影响因素。结果表明：粤港澳大湾区城市综合承灾能力指数变化范围为0.1886~0.6615,广州和深圳相对较高,肇庆和惠州相对较低,各城市自然灾害的承灾能力和影响因素存在显著差异,造成大湾区城市群整体承灾能力的短板效应,需要进一步加强城市综合承灾能力建设,从整体上提升大湾区城市综合承灾能力水平。
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| 关 键 词： | 粤港澳大湾区 综合承灾能力 信息熵模型 城市防灾 |
| 收稿时间： | 2020-05-07 |
| 修稿时间： | 2020-08-27 |
Evaluation of comprehensive disaster-bearing capacity of urban natural disasters in the Guangdong-Hong Kong-Macao Greater Bay Area |
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| WANG Jun,GONG Qinghua,YU Yan,YUAN Shaoxiong,CHEN Jun,HUANG Guangqing.Evaluation of comprehensive disaster-bearing capacity of urban natural disasters in the Guangdong-Hong Kong-Macao Greater Bay Area[J].Geographical Research,2020,39(9):2189-2199. |
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| Authors: | WANG Jun GONG Qinghua YU Yan YUAN Shaoxiong CHEN Jun HUANG Guangqing |
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| Institution: | 1. Guangzhou Institute of Geography, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou 510070, China2. Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China3. Science and Technology Library of Guangdong Province Guangdong Institute of Scientific & Technical Information and Development Strategy, Guangzhou 510070, China |
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| Abstract: | With the global climate change, urban natural disasters are becoming more frequent, and the comprehensive disaster-bearing capacity of cities has attracted more and more attention. Based on the characteristics of urban population, society, economy, environment, transportation and other disaster-bearing bodies, a comprehensive evaluation index system of disaster-bearing capacity for urban natural disasters in the Guangdong-Hong Kong-Macao Greater Bay Area was established. Then, based on objective weighted information entropy model, a quantitative evaluation model of urban comprehensive disaster-bearing capacity was put forward. Finally, the comprehensive disaster-bearing capacity value of cities in the Greater Bay Area was calculated, and the comprehensive disaster-bearing capacity level and the influencing factors were analyzed. The evaluation result indicates that Shenzhen, Zhuhai and Guangzhou rank the top three in disaster prevention ability index, and Shenzhen has the highest disaster resistance ability index, followed by Dongguan and Zhuhai. Guangzhou, Dongguan and Shenzhen are the top three in the disaster relief ability index and Zhaoqing has the lowest index. Guangzhou has the highest recovery ability index, followed by Shenzhen, Dongguan and Zhuhai. The disaster prevention, resilience, relief and recovery capabilities of cities in the study area vary greatly. The study result also shows that the comprehensive disaster-bearing capacity value in the Greater Bay Area ranges from 0.1886 to 0.6615. The comprehensive disaster-bearing capacity evaluation values from high to low are Guangzhou, Shenzhen, Dongguan, Zhuhai, Foshan, Zhongshan, Jiangmen, Huizhou and Zhaoqing. Taking the geological disaster data of various cities in the Greater Bay Area as an example, we discussed the evaluation result of this paper. The evaluation results of this paper are well consistent with the actual conditions of cities except Shenzhen. The comprehensive disaster-bearing capacity and the influencing factors of cities are quite diffident, resulting in the short-board effect of the overall disaster-bearing capacity in the Greater Bay Area. It is recommended to strengthen unified planning and management of the comprehensive disaster-bearing capacity in the Greater Bay Area, so as to improve the overall disaster-bearing capacity of the city and ensure the smooth implementation of major national strategy in the Greater Bay Area. |
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| Keywords: | the Guangdong-Hong Kong-Macao Greater Bay Area comprehensive disaster-bearing capacity information entropy model urban disaster prevention |
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