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福建热带气旋灾害精细化危险性评估

庄瑶 鲍瑞娟 张容焱 高诗妍 潘航 陈思 林昕

庄瑶, 鲍瑞娟, 张容焱, 等. 福建热带气旋灾害精细化危险性评估. 应用气象学报, 2022, 33(3): 319-328. DOI:  10.11898/1001-7313.20220306..
引用本文: 庄瑶, 鲍瑞娟, 张容焱, 等. 福建热带气旋灾害精细化危险性评估. 应用气象学报, 2022, 33(3): 319-328. DOI:  10.11898/1001-7313.20220306.
Zhuang Yao, Bao Ruijuan, Zhang Rongyan, et al. Refined risk assessment of tropical cyclone disasters in Fujian. J Appl Meteor Sci, 2022, 33(3): 319-328. DOI:  10.11898/1001-7313.20220306.
Citation: Zhuang Yao, Bao Ruijuan, Zhang Rongyan, et al. Refined risk assessment of tropical cyclone disasters in Fujian. J Appl Meteor Sci, 2022, 33(3): 319-328. DOI:  10.11898/1001-7313.20220306.

福建热带气旋灾害精细化危险性评估

DOI: 10.11898/1001-7313.20220306
资助项目: 

国家重点研发计划 2018YFB1501104

详细信息
    通信作者:

    张容焱,邮箱:fzzry@163.com

Refined Risk Assessment of Tropical Cyclone Disasters in Fujian

  • 摘要: 根据1981—2021年福建省热带气旋风雨资料,采用极差标准化、相关系数客观赋权法和自然断点法建立热带气旋致灾因子危险性评估模型,评估结果表明:选择降水7个因子和大风4个因子作为评估指标体系合理;雨高危险性区域位于沿海,南平和三明地区雨危险性较低;风较高危险性区域明显窄于雨较高危险性区域,危险性等级向内陆降低远快于降水,其中罗源湾至崇武沿海因受台湾岛地形屏障保护,危险性比沿海南北部小1个等级;风雨综合致灾危险性,沿海县市皆为较高危险性区域,其中中部沿海高危险性区域小,沿海南北部大,另外登陆粤东热带气旋沿海北上滞留在闽西上空的低压云团造成闽西北部存在较高危险性区域;在热带气旋登陆影响过程中,精细化致灾因子危险性评估更具有针对性,且与灾情相符,为气象灾害决策服务提供了更有价值的参考信息。
  • 图  1  福建省热带气旋警戒区

    Fig. 1  Tropical cyclone warning zone for Fujian

    图  2  雨、风和风雨综合危险性分布

    Fig. 2  Risk distribution of rain induced, wind induced, wind and rain induced

    图  3  热带气旋玛莉亚致灾因子危险性分布

    Fig. 3  Risk distribution of disaster factors by tropical cyclone Maria

    图  4  雨灾型热带气旋致灾因子危险性分布

    Fig. 4  Risk distribution of disaster factors by tropical cyclones with rain disasters

    图  5  风灾型热带气旋桑美致灾因子危险性分布

    Fig. 5  Risk distribution of disaster factors by tropical cyclone Saomai with wind disaster

    图  6  风雨并重型热带气旋致灾因子危险性分布

    Fig. 6  Risk distribution of disaster factors for tropical cyclones with both wind and rain

    表  1  热带气旋灾害致灾因子危险性评估指标体系

    Table  1  Risk assessment index system of tropical cyclone disaster-causing factors

    等级 降水因子 大风因子
    第1级 雨危险性 风危险性
    第2级(气象要素) 降水 风速
    第3级(因子) 过程日最大降水量(单站), 过程累积最大降水量(单站), 过程1 h最大降水量, 过程3 h最大降水量, 过程暴雨站日数, 过程大暴雨站日数, 过程特大暴雨站日数 过程日最大风速(单站), 过程日极大风速(单站), 过程最大风速不低于8级站日数, 过程极大风速不低于12级站日数
    下载: 导出CSV

    表  2  县级尺度热带气旋灾害致灾因子危险性等级

    Table  2  Risk assessment classification of disaster-causing factors for tropical cyclone disaster at county level

    等级 含义 降水因子 大风因子 风雨综合因子
    1 低危险 0~0.2060 0~0.0995 0~0.1255
    2 较低危险 0.2061~0.2967 0.0996~0.1954 0.1256~0.2158
    3 中等危险 0.2968~0.4017 0.1955~0.2853 0.2159~0.3209
    4 较高危险 0.4018~0.5230 0.2854~0.4495 0.3210~0.4490
    5 高危险 0.5231~1 0.4496~1 0.4491~1
    下载: 导出CSV

    表  3  乡镇级尺度热带气旋灾害致灾因子危险性等级

    Table  3  Risk assessment classification of disaster-causing factors for tropial cyclone disaster at township level

    等级 含义 降水因子 大风因子 风雨综合因子
    1 低危险 0~0.2252 0~0.2124 0~0.1051
    2 较低危险 0.2253~0.3206 0.2125~0.2767 0.1052~0.2041
    3 中等危险 0.3207~0.4312 0.2768~0.3300 0.2042~0.2917
    4 较高危险 0.4313~0.5413 0.3301~0.4039 0.2918~0.4078
    5 高危险 0.5414~1 0.4040~1 0.4079~1
    下载: 导出CSV
  • [1] 陈香.沿海地区台风灾害系统脆弱性过程诊断与评估——以福建省为例.灾害学, 2007, 22(3):6-10. doi:  10.3969/j.issn.1000-811X.2007.03.002

    Chen X. Vulnerability diagnosis and assessment of typhoon disaster system at coastal regions, a case study of Fujian Province. J Catastrophology, 2007, 22(3): 6-10. doi:  10.3969/j.issn.1000-811X.2007.03.002
    [2] 李欣, 张璐. 北上台风强降水形成机制及微物理特征. 应用气象学报, 2022, 33(1): 29-42. doi:  10.11898/1001-7313.20220103

    Li X, Zhang L. Formation mechanism and microphysics characteristics of heavy rainfall caused by northward-moving typhoon. J Appl Meteor Sci, 2022, 33(1): 29-42. doi:  10.11898/1001-7313.20220103
    [3] 杨舒楠, 端义宏. 台风温比亚(1818)降水及环境场极端性分析. 应用气象学报, 2020, 31(3): 290-302. doi:  10.11898/1001-7313.20200304

    Yang S N, Duan Y H. Extremity analysis on the precipitation and environmental field of Typhoon Rumbia in 2018. J Appl Meteor Sci, 2020, 31(3): 290-302. doi:  10.11898/1001-7313.20200304
    [4] 程正泉, 林良勋, 杨国杰, 等. 超强台风威马逊快速增强及大尺度环流特征. 应用气象学报, 2017, 28(3): 318-326. doi:  10.11898/1001-7313.20170306

    Cheng Z Q, Lin L X, Yang G J, et al. Rapid intensification and associated large-scaled circulation of super Typhoon Rammasun in 2014. J Appl Meteor Sci, 2017, 28(3): 318-326. doi:  10.11898/1001-7313.20170306
    [5] Dilley M, Chen R S, Deichmann U, et al. Natural Disaster Hot- spots: A Risk Analysis Synthesis Report. Washington DC: Hazard Management Unit, World Bank, 2005: 1-132.
    [6] 魏章进, 隋广军, 唐丹玲. 台风灾情评估及方法综述. 灾害学, 2012, 27(4): 107-113. doi:  10.3969/j.issn.1000-811X.2012.04.023

    Wei Z J, Sui G J, Tang D L. An Overview of assessment and approaches on typhoon disaster. J Catastrophology, 2012, 27(4): 107-113. doi:  10.3969/j.issn.1000-811X.2012.04.023
    [7] 殷洁, 戴尔阜, 吴绍洪. 中国台风灾害综合风险评估与区划. 地理科学, 2013, 33(11): 1370-1376. https://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201311012.htm

    Yin J, Dai E F, Wu S H. Integrated risk assessment and zoning of typhoon disaster in China. Sci Geogr Sinica, 2013, 33(11): 1370-1376. https://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201311012.htm
    [8] 韩金, 戴尔阜. 基于系统动力学的台风减灾决策研究. 灾害学, 2021, 36(2): 220-227;234. doi:  10.3969/j.issn.1000-811X.2021.02.038

    Han J, Dai E F. System-dynamics-based disaster reduction decision for typhoon disaster. J Catastrophology, 2021, 36(2): 220-227;234. doi:  10.3969/j.issn.1000-811X.2021.02.038
    [9] 叶丁嘉, 王国复, 尹宜舟, 等. 基于灰色关联法的县域台风灾情评估方法初探. 海洋气象学报, 2019, 39(1): 68-75. https://www.cnki.com.cn/Article/CJFDTOTAL-SDQX201901007.htm

    Ye D J, Wang G F, Yin Y Z, et al. Study on typhoon disaster assessment at county level based on grey relational analysis. J Marine Meteor, 2019, 39(1): 68-75. https://www.cnki.com.cn/Article/CJFDTOTAL-SDQX201901007.htm
    [10] 何立富, 陈双, 郭云谦. 台风利奇马(1909)极端强降雨观测特征及成因. 应用气象学报, 2020, 31(5): 513-526. doi:  10.11898/1001-7313.20200501

    He L F, Chen S, Guo Y Q. Observation characteristics and synoptic mechanisms of Typhoon Lekima extreme rainfall in 2019. J Appl Meteor Sci, 2020, 31(5): 513-526. doi:  10.11898/1001-7313.20200501
    [11] 陈有利, 朱宪春, 胡波, 等. 基于BP神经网络的宁波市台风灾情预估模型研究. 大气科学学报, 2018, 41(5): 668-675. https://www.cnki.com.cn/Article/CJFDTOTAL-NJQX201805010.htm

    Chen Y L, Zhu X C, Hu B, et al. Investigate on the pre-assessment of typhoon disaster in Ningbo based on BP neural network. Trans Atmos Sci, 2018, 41(5): 668-675. https://www.cnki.com.cn/Article/CJFDTOTAL-NJQX201805010.htm
    [12] Tan R P, Zhang W D. Multiple attribute decision making method based on DEMATEL and fuzzy distance of trapezoidal fuzzy neutrosophic numbers and its application in typhoon disaster evaluation. J Intell Fuzzy Syst, 2020, 39(3): 3413-3439. doi:  10.3233/JIFS-191758
    [13] 张容焱, 徐宗焕, 游立军, 等. 福建热带气旋风雨空间分布特征及风险评估. 应用气象学报, 2012, 23(6): 672-682. doi:  10.3969/j.issn.1001-7313.2012.06.004

    Zhang R Y, Xu Z H, You L J, et al. Wind and rainfall features and risk assessment of tropical cyclone in Fujian. J Appl Meteor Sci, 2012, 23(6): 672-682. doi:  10.3969/j.issn.1001-7313.2012.06.004
    [14] 陈楷俊, 陈艺仪, 陈菁. 近30年粤东地区台风灾害风险评估与分析. 水土保持研究, 2019, 26(3): 362-366;372. https://www.cnki.com.cn/Article/CJFDTOTAL-STBY201903056.htm

    Chen K J, Chen Y Y, Chen J. Risk assessment and analysis of typhoon disaster in east Guangdong in the period 1989-2017. Res Soil Water Conserv, 2019, 26(3): 362-366;372. https://www.cnki.com.cn/Article/CJFDTOTAL-STBY201903056.htm
    [15] 孔莉莎, 张秀芝. 西北太平洋历史台风风场重建模型参数试验. 应用气象学报, 2022, 33(1): 56-68. doi:  10.11898/1001-7313.20220105

    Kong L S, Zhang X Z. Sensitive experiments on reconstruction model of historical typhoon wind field in the Northwest Pacific Ocean. J Appl Meteor Sci, 2022, 33(1): 56-68. doi:  10.11898/1001-7313.20220105
    [16] 朱婧, 陆逸, 李国平, 等. 基于县级分辨率的福建省台风灾害风险评估. 灾害学, 2017, 32(3): 204-209. doi:  10.3969/j.issn.1000-811X.2017.03.034

    Zhu J, Lu Y, Li G P, et al. Risk assessment of typhoon disaster in Fujian Provice of each country. J Catastrophology, 2017, 32(3): 204-209. doi:  10.3969/j.issn.1000-811X.2017.03.034
    [17] 林茹馨, 叶金玉. 中国台风研究进展的可视化分析. 防灾科技学院学报, 2020, 22(1): 38-45. doi:  10.3969/j.issn.1673-8047.2020.01.006

    Lin R X, Ye J Y. Visualization analysis of the typhoon researches in China. Journal of Institute of Disaster Prevention, 2020, 22(1): 38-45. doi:  10.3969/j.issn.1673-8047.2020.01.006
    [18] 张悦, 李珊珊, 陈灏, 等. 广东省台风灾害风险综合评估. 热带气象学报, 2017, 33(2): 281-288. https://www.cnki.com.cn/Article/CJFDTOTAL-RDQX201702015.htm

    Zhang Y, Li S S, Chen H, et al. Evaluation of typhoon disaster risk in Guangdong Province. J Trop Meteor, 2017, 33(2): 281-288. https://www.cnki.com.cn/Article/CJFDTOTAL-RDQX201702015.htm
    [19] 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. 灾害学, 2019, 34(1): 73-77. doi:  10.3969/j.issn.1000-811X.2019.01.015

    Yu X B, Yu X R, Ji Z H, et al. Risk assessment and analysis of typhoon disaster in China's south-east coastal areas-based on information diffusion theory. J Catastrophology, 2019, 34(1): 73-77. doi:  10.3969/j.issn.1000-811X.2019.01.015
    [20] 刘合香, 卢耀健, 王萌, 等. 基于信息扩散技术的华南极端台风灾害风险评估. 热带海洋学报, 2020, 39(3): 31-41. https://www.cnki.com.cn/Article/CJFDTOTAL-RDHY202003004.htm

    Liu H X, Lu Y J, Wang M, et al. Risk assessment of extreme typhoon disasters based on information diffusion technology. J Trop Ocean, 2020, 39(3): 31-41. https://www.cnki.com.cn/Article/CJFDTOTAL-RDHY202003004.htm
    [21] 周亚飞, 程霄楠, 蔡靖, 等. 台风灾害综合风险评价研究. 中国公共安全(学术版), 2013(1): 31-37. doi:  10.3969/j.issn.1672-2396.2013.01.008

    Zhou Y F, Cheng X N, Cai J, et al. Study on comprehensive risk assessment of typhoon disasters. China Public Security(Academy Editon), 2013(1): 31-37. doi:  10.3969/j.issn.1672-2396.2013.01.008
    [22] 李祚泳, 徐源蔚, 汪嘉杨, 等. 基于投影寻踪回归的规范指标的气象灾情评估. 应用气象学报, 2016, 27(4): 480-487. doi:  10.11898/1001-7313.20160411

    Li Z Y, Xu Y W, Wang J Y, et al. Evaluation model of meteorological disaster loss with normalized indices based on projection pursuit regression. J Appl Meteor Sci, 2016, 27(4): 480-487. doi:  10.11898/1001-7313.20160411
    [23] 杨挺, 端义宏, 徐晶, 等. 城市效应对登陆热带气旋妮妲降水影响的模拟. 应用气象学报, 2018, 29(4): 410-422. doi:  10.11898/1001-7313.20180403

    Yang T, Duan Y H, Xu J, et al. Simulation of the urbanization impact on precipitation of landfalling tropical cyclone Nida(2016). J Appl Meteor Sci, 2018, 29(4): 410-422. doi:  10.11898/1001-7313.20180403
    [24] 张永恒, 范广洲, 马清云, 等. 浙江省台风灾害影响评估模型. 应用气象学报, 2009, 20(6): 772-776. doi:  10.3969/j.issn.1001-7313.2009.06.017

    Zhang Y H, Fan G Z, Ma Q Y, et al. The evaluation model of typhoon disaster influence on Zhejiang Province. J Appl Meteor Sci, 2009, 20(6): 772-776. doi:  10.3969/j.issn.1001-7313.2009.06.017
    [25] 魏章进, 马华铃, 唐丹玲. 基于改进熵值法的台风灾害风险趋势评估. 灾害学, 2017, 32(3): 7-11. doi:  10.3969/j.issn.1000-811X.2017.03.002

    Wei Z J, Ma H L, Tang D L. Trend assessment of typhoon disasters based on the improved entropy method. J Catastrophology, 2017, 32(3): 7-11. doi:  10.3969/j.issn.1000-811X.2017.03.002
    [26] 卢耀健, 刘合香, 王萌. 基于组合权重和模糊随机方法的台风灾害风险评估. 模糊系统与数学, 2020, 34(2): 151-163. https://www.cnki.com.cn/Article/CJFDTOTAL-MUTE202002017.htm

    Lu Y J, Liu H X, Wang M. Typhoon disaster risk assessment based on combined weights and fuzzy stochastic methods. Fuzzy Systems and Mathematicis, 2020, 34(2): 151-163. https://www.cnki.com.cn/Article/CJFDTOTAL-MUTE202002017.htm
    [27] 许红师, 练继建, 宾零陵, 等. 台风灾害多元致灾因子联合分布研究. 地理科学, 2018, 38(12): 2118-2124. https://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201812021.htm

    Xu H S, Lian J J, Bin L L, et al. Joint distributionof multiple typhoon hazard factors. Sci Geogr Sinica, 2018, 38(12): 2118-2124. https://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201812021.htm
    [28] 牛海燕, 刘敏, 陆敏, 等. 中国沿海地区台风致灾因子危险性评估. 华东师范大学学报(自然科学版), 2011, 31(6): 20-25;35. doi:  10.3969/j.issn.1000-5641.2011.06.003

    Niu H Y, Liu M, Lu M, et al. Risk assessment of typhoon hazard factors in China coastal areas during last 20 years. Journal of East China Normal University(Nat Sci Ed), 2011, 31(6): 20-25;35. doi:  10.3969/j.issn.1000-5641.2011.06.003
    [29] 刘方田, 许尔琪. 海南省台风特点与灾情评估时空关联分析. 灾害学, 2020, 35(2): 217-223. doi:  10.3969/j.issn.1000-811X.2020.02.039

    Liu F T, Xu E Q. Spatio-temporal correlation analysis of typhoon characteristics and disaster assessment in Hainan Province. J Catastrophology, 2020, 35(2): 217-223. doi:  10.3969/j.issn.1000-811X.2020.02.039
    [30] 张忠伟, 张京红, 赵志忠, 等. 基于GIS的海南岛台风灾害致灾因子危险性分析. 安徽农业科学, 2011, 39(11): 6587-6590. doi:  10.3969/j.issn.0517-6611.2011.11.112

    Zhang Z W, Zhang J H, Zhao Z Z, et al. Analysis of risks in Hainan Island typhoon hazard factor based on GIS. J Anhui Agri Sci, 2011, 39(11): 6587-6590. doi:  10.3969/j.issn.0517-6611.2011.11.112
    [31] 巩在武, 胡丽. 台风灾害评估中的影响因子分析. 自然灾害学报, 2015, 24(1): 203-213. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH201501026.htm

    Gong Z W, Hu L. Influence factor analysis of typhoon disaster assessment. J Nat Disa, 2015, 24(1): 203-213. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH201501026.htm
    [32] 张丽佳, 刘敏, 陆敏, 等. 中国东南沿海地区台风危险性评价. 人民长江, 2010, 41(6): 81-83;91. doi:  10.3969/j.issn.1001-4179.2010.06.021

    Zhang L J, Liu M, Lu M, et al. The hazard assessment of typhoon in southeast coastal areas of China. Yangtze River, 2010, 41(6): 81-83;91. doi:  10.3969/j.issn.1001-4179.2010.06.021
    [33] Blaikie P, Cannon T, Davis I, et al. At Risk: Natural Hazard, People's Vulnerability and Disasters. London: Routledgei, 1994: 1-210.
    [34] 李柏年. 模糊数学及其应用. 合肥: 合肥工业大学出版社, 2007.

    Li B N. Fuzzy Mathematics and Application. Hefei: Hefei University of Technology Press, 2007.
    [35] 蔡一乐, 曹诗颂, 杜明义, 等. 中国地级市人为热总量的估算及驱动因素分析. 地球信息科学学报, 2021, 23(3): 405-418. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX202103006.htm

    Cai Y L, Cao S S, Du M Y, et al. Estimation and analysis of driving factors of total AHF in prefecture-level of China. J Geo-info Sci, 2021, 23(3): 405-418. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX202103006.htm
    [36] 林蓉璇, 王鑫. 基于ArcGIS对广东省暴雨洪涝灾害风险的初步研究. 广东水利水电, 2016(5): 41-45. https://www.cnki.com.cn/Article/CJFDTOTAL-GDSD201605011.htm

    Lin R X, Wang X. Preliminary study about Guangdong flood disaster risk based on ArcGIS. Guangdong Water Resources and Hydropower, 2016(5): 41-45. https://www.cnki.com.cn/Article/CJFDTOTAL-GDSD201605011.htm
    [37] 郑新江, 卢乃锰, 罗敬宁, 等. "96.8.8"福建成灾暴雨水汽图像特征分析. 海洋预报, 1997, 14(4): 51-58. https://www.cnki.com.cn/Article/CJFDTOTAL-HYYB704.006.htm

    Zheng X J, Lu N M, Luo J N, et al. Analysis of the characteristics of water vapor image of rainstorm in Fujian Province on 8 August 1996. Marine Forecasts, 1997, 14(4): 51-58. https://www.cnki.com.cn/Article/CJFDTOTAL-HYYB704.006.htm
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出版历程
  • 收稿日期:  2021-12-23
  • 修回日期:  2022-02-25
  • 刊出日期:  2022-05-31

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