基于GIS的汕尾市城区内涝灾害风险评价
GIS-Based Risk Assessment of Urban Water-Logging Disaster in Shanwei City
DOI: 10.12677/JWRR.2020.93029, PDF,    国家自然科学基金支持
作者: 方兆麟：中山大学土木工程学院，广东 广州；林凯荣：中山大学土木工程学院，广东 广州；广东省海洋土木工程重点实验室，广东 广州；中山大学水资源与环境研究中心，广东 广州；胡晓张：珠江水利科学研究院，广东 广州；陈海燕：中山大学水资源与环境研究中心，广东 广州；李文静：生态环保部华南环境科学研究所，广东 广州
关键词: 内涝灾害；风险评价；地理信息系统；汕尾市城区；Water-Logging Disaster； Risk Assessment； GIS； Urban Area of Shanwei City
摘要: 城市内涝灾害风险评价可以反映城市区域内发生内涝灾害风险的严重程度，为内涝灾害风险的防控与管理提供科学依据，从而减少灾害损失。本文以广东省汕尾市城区为研究区域，利用指标体系法选取关键指标，基于GIS空间分析技术和层次分析法构建内涝灾害风险评价模型，研究城区内涝灾害风险等级分布状况。结果表明，城区内涝灾害风险分布具有从中部高风险区域向四周逐渐下降的特点。风险等级较高的区域主要分布在凤山街道、香洲街道、东涌镇沿品清湖地区和红草镇东部。通过历史资料的验证，风险评价结果较好地反应城区内涝灾害实际情况，可为城区防洪排涝规划工作提供技术支撑。
Abstract: Risk assessment of urban water-logging disaster can effectively reflect the severity of regional disaster, and provide scientific suggestions for disaster planning, monitoring and mitigating. The urban area of Shanwei city was chosen as case study, and the key indicators were selected using the index system as-sessment method. Based on ArcGIS spatial analysis technology and analytic hierarchy process (AHP), the water-logging disaster risk evaluation model was constructed and used to analyze the risk distribution. The results show that the risk distribution of water-logging disaster is characterized by the gradual de-cline of the high risk areas in central. These areas with high risk levels are mainly located in Fengshan street, Xiangzhou street, Dongchong town along the Pinqing lake and the east of Hongcao town. Through the verification of historical observed data, the results of risk assessment can well reflect the actual situ-ation of waterlogging disaster and provide technical support for flood prevention and drainage planning in urban area of Shanwei city.
文章引用：方兆麟, 林凯荣, 胡晓张, 陈海燕, 李文静. 基于GIS的汕尾市城区内涝灾害风险评价[J]. 水资源研究, 2020, 9(3): 279-288. https://doi.org/10.12677/JWRR.2020.93029

参考文献

[1] 孔锋. 透视变化环境下的中国城市暴雨内涝灾害: 形势、原因与政策建议[J]. 水利水电技术, 2019, 50(10): 42-52. KONG Feng. Perspective on urban rainstorm waterlogging disaster in China under changing environment: situation, causation and policy suggestion. Water Resources and Hydropower Engineering, 2019, 50(10): 42-52. (in Chinese)
[2] 张冬冬, 严登华, 王义成, 等. 城市内涝灾害风险评估及综合应对研究进展[J]. 灾害学, 2014, 29(1): 144-149. ZHANG Dongdong, YAN Denghua, WANG Yicheng, et al. Research progress on risk assessment and integrated strategies for urban pluvial flooding. Journal of Catastrophology, 2014, 29(1): 144-149. (in Chinese)
[3] 牟新利, 冯钰璇, 向先伟, 等. 重庆市梁平县近59年旱涝灾害评价研究[J]. 农业灾害研究, 2016, 6(8): 29-31. MOU Xinli, FENG Yuxuan, XIANG Xianwei, et al. Study on evaluation of drought and flood disasters in nearly 59 years of Liangping County in Chongqing. Journal of Agricultural Catastrophology, 2016, 6(8): 29-31. (in Chinese)
[4] 梁汝豪, 兰甜, 林凯荣, 等. 基于SWMM的城市雨洪径流模拟研究——以广州市猎德涌流域为例[J]. 人民珠江, 2018, 39(6): 1-5+15. LIANG Ruhao, LAN Tian, LIN Kairong, et al. Simulation of urban rainfall-runoff based on SWMM—The case of Liede River basin in Guangzhou. Pearl River, 2018, 39(6): 1-5+15. (in Chinese)
[5] 李文静, 林凯荣, 刘玥, 等. 基于GIS-AHP集成的无资料小流域山洪灾害风险评价[J]. 中国农村水利水电, 2017(8): 103-107. LI Wenjing, LIN Kairong, LIU Yue, et al. Flash flood risk assessment in ungaged small basin based on GIS and AHP integrated method. China Rural Water and Hydropower, 2017(8): 103-107. (in Chinese)
[6] 汕尾市城区人民政府网. 汕尾市城区地理资源[EB/OL]. http://www.swchengqu.gov.cn/swchengqu/zjcq/index.html, 2019-10-31. Chengqu District People’s Government Network. Geographical resource of Chengqu district, Shanwei city. http://www.swchengqu.gov.cn/swchengqu/zjcq/index.html, 2019-10-31. (in Chinese)
[7] 钟平威, 林晓青, 李世光. 汕尾市近53年的气候变化特征[J]. 广东气象, 2008, 30(S2): 45-47. ZHONG Pingwei, LIN Xiaoqing, and LI Shiguang. Climate change characteristics of Shanwei city in recent 53 years. Guangdong Meteorology, 2008, 30(S2): 45-47. (in Chinese)
[8] 陈芳丽, 李明华, 姜帅, 等. 粤东暴雨中心的降水气候统计特征和成因分析[J]. 广东气象, 2019, 41(4): 6-10. CHEN Fangli, LI Minghua, JIANG Shuai, et al. On the statistical characteristics of precipitation climatology of heavy rain centers in eastern Guangdong and analysis of its causation. Guangdong Meteorology, 2019, 41(4): 6-10. (in Chinese)
[9] 王小粤, 吴道远, 李泳泽, 等. 台风“泰利”过后汕尾特大暴雨过程的成因分析[J]. 广东气象, 2015, 37(5): 19-22. WANG Xiaoyue, WU Daoyuan, LI Yongze, et al. Analysis of the causation of an exceptionally heavy rain in the wake of ty-phoon Talim in Shanwei. Guangdong Meteorology, 2015, 37(5): 19-22. (in Chinese)
[10] MASKREY, A. Disaster mitigation: A community based approach. England: Oxfam, 1989.
[11] 黄海燕, 黄卫东. 汕尾市前汛期暴雨地域分布特征[J]. 气象研究与应用, 2011, 32(S2): 73. HUANG Haiyan, HUANG Weidong. Geographical distribution characteristics of rainstorm in the pre-flood season in Shanwei city. Journal of Meteorological Research and Application, 2011, 32(S2): 73. (in Chinese)
[12] WU, Y., ZHONG, P., ZHANG, Y., et al. Integrated flood risk assessment and zonation method: A case study in Huaihe river basin, China. Natural Hazards, 2015, 78(1): 635-651.
[13] 梁国华, 张雯, 何斌, 等. 流域水文模型识别方法研究与应用[J]. 人民长江, 2019, 50(1): 53-57. LIANG Guohua, ZHANG Wen, HE Bin, et al. Research and application of watershed hydrological model identification method. Yangtze River, 2019, 50(1): 53-57. (in Chinese)
[14] 宫清华, 黄光庆, 郭敏, 等. 基于GIS技术的广东省洪涝灾害风险区划[J]. 自然灾害学报, 2009, 18(01): 58-63. GONG Qinghua, HUANG Guangqing, GUO Min, et al. GIS-based risk zoning of flood hazard in Guangdong province. Journal of Natural Disasters, 2009, 18(1): 58-63. (in Chinese)