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【目的】近年来台风袭击沿海地区事件发生频繁，造成了严重的人员伤亡、经济损失和环境破坏。因此，探究易发型台风灾害链的形成机制及风险评价方法，以期为近海城市防洪防潮工作提供科学支撑。【方法】针对典型的“台风-风暴潮-洪水-溃堤”灾害链，选取1999—2022年台风灾情数据，基于各灾种之间风险传递响应规律建立台风风暴潮灾害链的风险传递网络结构，在此基础上使用贝叶斯理论构建台风风暴潮灾害链风险评价模型，并在广东省珠海市、中山市、江门市和佛山市开展应用研究，模拟分析发生三种典型台风场景下的灾害链风险分布。【结果】结果显示：近海地区发生台风风暴潮灾害链的风险高于内陆地区，在情况最不利台风场景下(当发生16级风力以上且登陆型台风时),研究区“高”“中”风险区总面积占比达到29.9%,其中“高”风险区主要集中在珠海市、中山市的东部地区，“中”风险区主要分布在佛山市中东部、江门市南部。【结论】结果表明：在不同台风场景下，台风强度改变对风暴潮、溃堤的影响程度大于洪水，而台风路径改变对洪水、溃堤的影响程度大于风暴潮。研究成果可为粤港澳大湾区防灾减灾能力建设提供一定的参考借鉴价值。
Abstract：[Objective]In recent years, frequent typhoon strikes on coastal areas have caused severe casualties, economic losses and environmental degradation. Therefore, it is important to explore the formation mechanism and risk assessment of the easily occurring typhoon disaster chain to provide scientific support for flood control and tide prevention in coastal cities.[Methods]Focus is paid on a typical “typhoon-storm surge-flood-dike burst”(TSFD) disaster chain event, conducting an evolution analysis of the disaster chain mechanism based on the risk transmission and response among various disasters. A risk transmission network structure is established for the TSFD disaster chain, and a risk assessment model for the TSFD disaster chain is constructed using Bayesian theory. This model is applied in Zhuhai, Zhongshan, Jiangmen, and Foshan in Guangdong Province to simulate and analyze the distribution of TSFD disaster chain risk under the three typical typhoon scenarios.[Results]The result show that coastal areas are at higher risk of TSFD disaster chain than inland regions. When a landing-type typhoon with a wind force above Category 16 occurs, the total area of “high” and “medium” risk zones in the study area accounts for 29.9% of the total, with “high” risk zones mainly concentrating in the coastal areas of Zhuhai and Zhongshan, and “medium” risk zones mainly distributing in the east-central part of Foshan and the southern part of Jiangmen.[Conclusion]The result indicate that: under different typhoon scenarios, typhoon intensity change has a greater impact on storm surge and dike burst than flood, while the impact of typhoon path change on flood and dike burst is greater than that of storm surge. Research result can provide valuable references for the disaster prevention and mitigation capacity building in the Guangdong-Hong Kong-Macao Greater Bay Area.
[1] 张晓宇，韦波，杨昊宇，等.基于GIS的广东省台风灾害风险性评价[J].热带气象学报，2018,34(6):783-790.ZHANG Xiaoyu,WEI Bo,YANG Haoyu,et al.Risk assessment of typhoon disaster in guangdong province based on GIS[J].Journal of Tropical Meteorology,2018,34(6):783-790.
[2] 朱军政，徐有成.浙江沿海超强台风风暴潮灾害的影响及其对策[J].海洋学研究，2009,27(2):104-110.ZHU Junzheng,XU Youcheng.Study on the calamity and counter-measure of the super typhoon storm surge along the zhejiang coastal area[J].Journal of Marine Sciences,2009,27(2):104-110.
[3] 赵珊珊，任福民，高歌，等.近十年我国热带气旋灾害的特征研究[J].热带气象学报，2015,3(31):424-432.ZHAO Shan-shan,REN Fumin,GAO Ge,et al.Characteristics of chinese tropical cyclone disaster in the past 10 years[J].Journal of Tropical Meteorology,2015,3(31):424-432.
[4] 中国气象局.广东省气象灾害防御规划 (2011—2020年)[R].北京：中国气象局，2015.China Meteorological Administration.Guangdong meteorological disaster prevention (2011—2020)[R].Beijing:China Meteorological Administration,2015.
[5] 于小兵，俞显瑞，吉中会，等.基于信息扩散的东南沿海台风灾害风险评估[J].灾害学，2019,34(1):73-77.YU Xiaobing,YU Xianrui,JI Zhonghui,et al.Risk assessment of typhoon disaster in China’s south-east coastal areas based on information diffusion theory[J].Journal of Catastrophology,2019,34(1):73-77.
[6] 丁燕，史培军.台风灾害的模糊风险评估模型[J].自然灾害学报，2002,11(1):34-43.DING Yang,SHI Pei-jun.Fuzzy risk assessment model of typhoon hazard[J].Journal of Natural Disasters,2002,11(1):34-43.
[7] 陈文方，徐伟，史培军.长三角地区台风灾害风险评估[J].自然灾害学报，2011,20(4):77-83.CHEN Wenfang,XU Wei,SHI Peijun.Risk assessment of typhoon disaster at county level in the Yangtze River Delta of China[J].Journal of Natural Disasters,2011,20(4):77-83.
[8] 史培军.再论灾害研究的理论与实践[J].自然灾害学报，1996,5(4):8-19.SHI Peijun.Theory and practice of disaster study[J].Journal of Natural Disasters,1996,5(4):8-19.
[9] XIAO Ping,TING Wang,TIAN Yu,et al.A bayesian network-based inhibition model of the rainstorm-landslide-debris flow disaster chain in mountainous areas:The case of the Greater Bay Area,China[J].Water,2023,15:3124.
[10] ZHANG Caixia,YIN Kedong,SHI Xiaoran,at al.Risk assessment for typhoon storm surges using geospatial techniques for the coastal areas of Guangdong,China[J].Ocean and Coastal Management,2021,213(3-4):105880.
[11] WANG Si,MU Lin,QI Mengnan,et al.Quantitative risk assessment of storm surge using gis techniques and open data:A case study of Daya Bay Zone,China[J].Journal of Environmental Management,2021,289(3):112514.
[12] 张晓宇，韦波，杨昊宇，等.基于GIS的广东省台风灾害风险性评价[J].热带气象学报，2018,34(6):783-790.ZHANG Xiaoyu,WEI Bo,YANG Haoyu,et al.Risk assessment of typhoon disaster in Guangdong Province based on GIS[J].Journal of Tropical Meteorology,2018,34(6):783-790.
[13] 黄莉，袁田，彭毅，等.台风灾害社区韧性感知评估研究[J].自然灾害学报，2023,32(1):22-28.HUANG Li,YUAN Tian,PENG Yi,et al.Assessment on perception of community resilience to typhoon disasters[J].Journal of Natural Disasters,2023,32(1):22-28.
[14] 李国一，刘家宏，邵薇薇.洪涝灾害风险评估与分区研究进展[J].水文，2023,43(4):15-20.LI Guoyi,LIU Jiahong,SHAO Weiwei.Research progress in flood disaster risk assessment and zoning[J].Journal of China Hydrology,2023,43(4):15-20.
[15] 李勇，周永章，窦磊，等.基于多元统计和傅立叶和谱分析的土壤重金属的来源解析及其风险评价[J].地学前沿，2010,17(4):253-261.LI Yong,ZHOU Yongzhang,DOU Lei,et al.Soil heavy metal sources identification and associated riskassessment using multiva riate statistical and Fourierspectral analysis[J].Earth Science Frontiers,2010,17(4):253-261.
[16] GOPINATH D I,DWARAKISH G.Wave prediction using neural networks at new mangalore port along west coast of India[J].Aquatic Procedia,2015,4:143-150.
[17] 苑希民，黄玉啟，田福昌，等.基于LSTM-GM神经网络模型的风暴潮增水预报方法研究[J].水资源保护，2023(6):8-15.YUAN Ximin,HUANG Yuqi,TIAN Fuchang,et al.Research on storm surge forecasting method based on LSTM-GM neural network model[J].Water Resour.Prot.,2023(6):8-15.
[18] WEBER P,MEDINA-OLIVA G,SIMON C,et al.Overview on bayesian networks applications for dependability,risk analysis and maintenance areas[J].Engineering Applications of Artificial Intelligence,2012,25(4):671-682.
[19] 赵冬月，陈长坤，易亮.灾害演化网络时序性风险评估模型[J].中国安全科学学报，2021,31(3):171-177.ZHAO Dongyue,CHEN Changkun,YI Liang.Time-series risk assessment model for disaster evolution network[J].China Safety Science Journal,2021,31(3):171-177.
[20] 王家栋.面向事件链的台风风暴潮情景推演方法研究与实现[D].武汉；武汉大学，2021.WANG Jiadong.Research and Implementation on Scenario Deduction of Typhoon Storm Surge Oriented to Event Chain[D].Wuhan:Wuhan University,2021.
[21] 张然，柴志勇，张婷，等.基于机器学习模型的洪水预报研究进展[J].水利水电技术(中英文),2023,54(11):89-101.ZHANG Ran,CHAI Zhiyong,ZHANG Ting,et al.Research progress of flood forecasting based on machine learning models[J].Water Resources and Hydropower Engineering,2023,54(11):89-101.
[22] LI J,CHEN C.Modeling the dynamics of disaster evolution along causality networks with cycle chains[J].Physica A Statistical Mechanics And Its Applications,2014,401(5):251-264.
[23] 汤秋鸿，徐锡蒙，周羽暄，等.全球变化背景下黄河流域水旱灾害演变及应对策略[J].水利发展研究，2025,25(2):13-20.TANG Qiuhong,XU Ximeng,ZHOU Yuxuan,et al.Evolution of floods and droughts in the Yellow River Basin under global change and relevant coping strategies[J].Water Resources Development Research,2025,25(2):13-20.
[24] 刘洪良，罗年学，赵前胜.基于灾害复杂网络的深圳台风灾害链风险分析[J].灾害学，2023,38(4):228-234.LIU Hongliang,LUO Nianxue,ZHAO Qiansheng.Risk analysis of typhoon disaster chain in shenzhen based on complex network[J].Journal of Catastrophology,2023,38(4):228-234.
[25] KOKS Ee,JONGMAN B,HUSBY Tg,et al.Combining hazard,exposure and social vulnerability to provide lessons for flood risk management[J].Environmental science and policy,2015,47(42-52).
[26] 陶凯，廖新利，苏鹏，等.热带气旋多致灾因子综合风险评估研究进展[J].水利水电技术(中英文),2024,55(9):1-9.TAO Kai,LIAO Xinli,SU Peng,et al.Progress in multi-hazard risk assessment for tropical cyclone[J].Water Resources and Hydropower Engineering,2024,55(9):1-9.
[27] 殷洁，戴尔阜，吴绍洪，等.中国台风强度等级与可能灾害损失标准研究[J].地理研究，2013,32(2):266-274.YIN Jie,DAI Erfu,WU Shaohong,et al.A study on the relationship between typhoon intensity gradeand disaster loss in China[J].Geographical Research,2013,32(2):266-274.
[28] 张卫星，周洪建.灾害链风险评估的概念模型：以汶川5·12特大地震为例[J].地理科学进展，2013,32(1):130-138.ZHANG Weixing,ZHOU Hongjian.Conceptual model of disaster chain risk assessment:Taking Wenchuan Earthquake on 12 May 2008 as a case[J].Progress in Geography,2013,32(1):130-138.
[29] JOO H C.A bayesian network-based integrated for flood risk assessment (Infra)[J].Sustainability,2019,13(11):3733.
[30] BLASER L O.Bayesian networks for tsunami early warning[J].Geophysical Journal International,2011(3):1431-1443.
[31] LANDUYT D,BROEKX S,D’HONDT R,et al.A review of bayesian belief networks in ecosystem service modelling[J].Environmental Modelling and Software,2013,46:1-11.
[32] UUSITALO Laura.Advantages and challenges of bayesian networks in environmental modelling[J].Ecological Modelling,2007,203(3-4):312-318.
[33] 余瀚，郭浩，王静爱.面向区划的台风灾害综合风险评价：以广东省台风灾害人口与经济风险为例[J].中山大学学报(自然科学版)(中英文),2023,62(1):86-95.YU Han,GUO Hao,WANG Jing’ai.Comprehensive risk assessment of typhoon for regionalization:A case of population and economic risk in Guangdong Province[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2023,62(1):86-95.
[34] 李颖，方伟华.热带气旋降水重现期估算研究[J].自然灾害学报，2014,23(6):59-69.LI Ying,FANG Weihua.Estimation on return period of tropical cyclone precipitation[J].Journal of Natural Disasters,2014,23(6):59-69.
[35] BUHI E,GOODSON P,NEILANDS T.Out of sight,not out of mind:strategies for handling missing data.[J].American journal of health behavior,2008,32(1):83-92.
[36] 田世海，孙美琪，张家毓.基于贝叶斯网络的自媒体舆情反转预测[J].情报理论与实践，2019,42(2):127-133.TIAN Shihai,SUN Meiqi,ZHANG Jiayu.Prediction of we-media public opinion reversion based on Bayesian network[J].Information Studies:Theory and Application,2019,42(2):127-133.
[37] DILLEY M.Natural Disaster Hotspots:A Global Risk Analysis[R].The Republic of Colombia:Center for International Earth Science Information Network,2005.
[38] 包文轩，宫阿都，徐澯，等.基于区域灾害系统论的广东省台风灾害风险评估：以“山竹”台风为例[J].北京师范大学学报(自然科学版),2023,59(1):94-102.BAO Wenxuan,GONG Adu,XU Can,et al.Typhoon disaster risk assessment in Guangdong Province by regional disaster system theory:Case of “Mangkhut”[J].Journal of Beijing Normal University(Natural Science),2023,59(1):94-102.
[39] 罗兴树，章数语，郭园，等.极端降水对陕西省农业生产的影响[J].南水北调与水利科技(中英文),2024,22(2):339-347.LUO X S,ZHANG S Y,GUO Y,et al.The impact of extreme precipitation on agricultural production in Shanxi Province[J].South-to-North Water Transfers and Water Science & Technology,2024,22(2):339-347.
[40] 张雷，涂慰云，孙蔡亮，等.基于GIS图层叠置法的莆田市雷灾脆弱性研究[J].海峡科学，2017,132(12):84-97.ZHNAG Lei,TU Weiyun,SUN Cailiang,et al.Vulnerability study of lightning disasters in putian based on GIS layer overlay method[J].Staits Science,2017,132(12):84-97.
[41] 宋晓猛，徐楠涛，董子然.变化环境下城市洪涝风险评估与调控策略[J].水利发展研究，2025,25(1):56-64,85.SONG Xiaomeng,XU Nantao,DONG Ziran.Risk assessment and control strategies of urban flooding under changing environments[J].Water Resources Development Research,2025,25(1):56-64,85.
[42] LIN Liuyi.An introduction to grey systems:foundations,methodology and applications[J].Kybernetes,2003,32(4):368-492.
[43] 张发明，刘志平.组合评价方法研究综述[J].系统工程学报，2017,32(4):557-569.ZHANG Faming,LIU Zhiping.Combined evaluation methods:a literature review[J].Journal of Systems Engineering,2017,32(4):557-569.
[44] 李鑫.优化模糊综合评价模型在水质评价中的应用[J].廊坊师范学院学报(自然科学版),2024,24(1):12-17,53.LIXin.The application of optimized fuzzy comprehensive evaluation model in water quality evaluation[J].Journal of Langfang Teachers University(Natural Science Edition),2024,24(1):12-17,53.
[45] 李颖，金茹，许娈，等.基于路径与环境场最优赋权的致灾相似台风检索方法研究[J].水利水电技术(中英文),2023,54 (7):14-26.LI Ying,JIN Ru,XU Luan,et al.Study on the optimal weighting impact of typhoon track and environmental field in similar typhoon retrieval model for similar disasters[J].Water Resources and Hydropower Engineering,2023,54(7):14-26.
[46] 王章立，邱奕翔，杨光，等.台风“格美”暴雨洪水防御实践与思考[J].水利发展研究，2025,25(1):43-47.WANG Zhangli,QIU Yixiang,YANG Guang,et al.Practice and experience of typhoon “Gemei” rainstorm flood prevention[J].Water Resources Development Research,2025,25(1):43-47.
[47] 刘志雨，张同强.水旱灾害防御雨水情监测预报技术研究[J].水利发展研究，2025,25(1):48-55.LIU Zhiyu,ZHANG Tongqiang.Research on flood and drought disaster prevention and rainfall monitoring and forecasting technologies[J].Water Resources Development Research,2025,25(1):48-55.
基本信息:
DOI：10.13928/j.cnki.wrahe.2025.10.002
中图分类号:P731.23
引用信息:
[1]谭心如,王婷,黄显峰,等.基于风险传递网络的台风风暴潮灾害链风险评价[J].水利水电技术(中英文),2025,56(10):17-30.DOI:10.13928/j.cnki.wrahe.2025.10.002.
基金信息:
国家重点研发计划项目(2021YFC3001000); 国家自然科学基金青年基金项目(52209042);国家自然科学基金项目(52079143)
2024-12-12
2024-12-12
2024-12-12