Hu Haibo, Dong Pengjie, Pan Jinjun. The hail risk zoning in Beijing integrated with the result of its loss assessment. J Appl Meteor Sci, 2011, 22(5): 612-620.
Citation: Hu Haibo, Dong Pengjie, Pan Jinjun. The hail risk zoning in Beijing integrated with the result of its loss assessment. J Appl Meteor Sci, 2011, 22(5): 612-620.

The Hail Risk Zoning in Beijing Integrated with the Result of Its Loss Assessment

  • Received Date: 2011-01-31
  • Rev Recd Date: 2011-06-24
  • Publish Date: 2011-10-31
  • In order to recognize the meteorological disaster risk and assess it, the task of risk zoning is started exploring the possibility and severity influenced by the disaster, and the distribution of risk area zone is determined. The study is very important for the disaster avoidance or prevention, and is widely utilized in disaster emergency and meteorological service of supporting decision regulation. Normally the risk zoning depends upon the probability of extreme weather or climate events, such as the occurrence or probability of extreme meteorological elements. However, the risk of disaster focuses on the intensity or loss of the disaster besides the probability. Moreover, the index of hail risk zoning in Beijing is carried out based on the formula that risk equals probability multiplied by loss, and it can avoid the solely doing statistics on the probability of extreme weather and climate events. The loss assessment is firstly fulfilled by the Gray-correlation Model with the data of disaster occurred in Beijing during recent 30 years. Meanwhile, the BG algorithm is introduced here for the time-series analysis on the disaster data, and it is found that the year of 1997 in the time-series is an inconsistent standpoint, which means that the data should be separated into two series for its inconsistence. Based on this judgment, the expectations of the bias from 1997 are considered to be the variation modulus. On the other hand, with the result of loss assessment, the hail occurring frequency is calculated out by 10 groups divided by average intervals form 0 to 1 of the loss index value. It can be utilized in deducing normalized hail risk index of Beijing, with which the risk zoning standards can be determined. Eventually the risk index is calculated with the risk function, and the indexes are also summed up by groups. Furthermore, the risk zonings are symbolized upon the index with its zoning standards. From the result of risk zoning, it can be concluded that the relatively higher hail risk zone mainly locate in urban area of Beijing, such as the centers of Miyun and Pinggu, while the risks of the mountain area and its piedmont, are relatively lower.
  • Fig. 1  The technique flow chart of hail disaster zoning in Beijing

    Fig. 2  The time series analysis result by the BG algorithm

    Fig. 3  The map of the hail risk zoning status in Beijing

    Fig. 4  The map of hail frequency distribution in Beijing from 1980 to 2009

    Table  1  The conversion functions of gray correlation index for hail disaster

    指标 转换函数
    受灾人口
    受灾面积
    经济损失
    DownLoad: Download CSV

    Table  2  The partial result of loss evaluating by Gray-correlation Model

    日期 地点 统一物价的经
    济损失/万元
    受灾人
    口/人
    受灾面积
    /hm2
    人口
    系数
    面积
    系数
    经济损
    失系数
    归一化
    关联度
    关联度高斯
    变换结果
    1981-09-18 南城 2568.995 643 452 0.616 0.620 0.903 0.713 5.507
    2007-07-09 北七家镇 2194.208 3518 1518 0.778 0.730 0.929 0.812 8.617
    1993-07-07 黑山寨乡 217.9684 5051 2939 0.824 0.806 0.724 0.785 7.625
    2003-06-27 长陵 3592.011 5051 2939 0.824 0.806 0.852 0.827 9.231
    2006-06-24 长陵 441.5091 743 329 0.627 0.596 0.807 0.677 2.340
    2007-07-09 长陵镇 2194.208 3518 1518 0.778 0.729 0.929 0.812 8.617
    1981-09-18 气象站 2568.995 643 452 0.616 0.620 0.903 0.713 5.508
    DownLoad: Download CSV

    Table  3  The statistics result of hail occurring frequency in Beijing

    系数范围 频次/(点次/年)
    0~0.1 94.933
    0.1~0.2 31.233
    0.2~0.3 28.633
    0.3~0.4 19.267
    0.4~0.5 13.500
    0.5~0.6 5.167
    0.6~0.7 1.700
    0.7~0.8 1.033
    0.8~0.9 0.233
    0.9~1 0
    DownLoad: Download CSV

    Table  4  The risk zoning standard of hail disaster in Beijing

    等级 划分原则 (情景假设依据) 等级标准/km2
    极高风险 [5R′,+∞) [9.504,+∞)
    高风险 [2.5R′,5R′) [5.702,9.504)
    中等风险 [0.5R′,2.5R′) [0.95,5.702)
    低风险 [0.1R′,0.5R′) [0.19,0.95)
    极低风险 [0,0.1R′) [0,0.19)
    DownLoad: Download CSV
  • [1]
    扈海波, 董鹏捷, 熊亚军, 等.北京奥运期间冰雹灾害风险评估.气象, 2008, 34(12):84-89. http://www.cnki.com.cn/Article/CJFDTOTAL-HBQX200802003.htm
    [2]
    马宗晋, 李闵峰. 自然灾害评估、灾度和对策//中国减轻自然灾害研究. 北京: 中国科学技术出版社, 1990.
    [3]
    张会, 张继权, 韩俊山.基于GIS技术的洪涝灾害风险评估与区划研究——以辽河中下游地区为例.自然灾害学报, 2005, 14(6):141-146. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200506024.htm
    [4]
    马明, 吕伟涛, 张义军, 等.1997—2006年我国雷电灾情特征.应用气象学报, 2008, 19(4):393-400. doi:  10.11898/1001-7313.20080402
    [5]
    宫德吉, 郝慕玲.白灾成灾综合指数的研究.应用气象学报, 1998, 9(1):119-123. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19980117&flag=1
    [6]
    Smith K. Environmental Hazards: Assessing Risk and Reducing Disaster (2nd edition). New York: Routledge, 1996.
    [7]
    黄崇福.自然灾害风险评价理论与实践.北京:科学出版社, 2005.
    [8]
    Huang Chongfu. Two models to assess fuzzy risk of natural disaster in China. Journal of Fuzzy Logic and Intelligent Systems, 1997, 14(6):141-146.
    [9]
    杜晓燕, 黄岁樑, 赵庆香.基于信息扩散理论的天津旱涝灾害危险性评估.灾害学, 2009, 24(1):22-25. http://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU200901004.htm
    [10]
    李世奎, 霍治国, 王素艳, 等.农业气象灾害风险评估体系及模型研究.自然灾害学报, 2004, 13(1):77-87. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200401013.htm
    [11]
    蒋卫国, 盛绍学, 朱晓华, 等.区域洪水灾害风险格局演变分析——以马来西亚吉兰丹州为例.地理研究, 2008, 27(3):502-508. http://www.cnki.com.cn/Article/CJFDTOTAL-DLYJ200803005.htm
    [12]
    倪化勇, 刘希林.自然灾害发生时间序列的分形特征及R/S分析.自然灾害学报, 2005, 14(6):37-41. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200506006.htm
    [13]
    高庆华, 马宗晋, 张业成, 等.自然灾害评估.北京:气象出版社, 2007.
    [14]
    Pedro B G, Plamen C I, Luis N A, et al. Scale invariance in nonstationarity of human heart rate. Physical Review Letters, 2001, 87(16):168105. doi:  10.1103/PhysRevLett.87.168105
    [15]
    刘伟东, 扈海波, 程丛兰, 等.灰色关联度方法在大风和暴雨灾害损失评估中的应用.气象科技, 2007, 35(4):563-566. http://cpfd.cnki.com.cn/Article/CPFDTOTAL-ZGQX200610013304.htm
    [16]
    杨仕升.自然灾害不同灾情的比较方法探讨.灾害学, 1996, 11(4):35-38. http://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU604.008.htm
    [17]
    扈海波, 熊亚军, 董鹏捷, 等.北京奥运期间 (6—9月) 气象灾害风险评估.北京:气象出版社, 2009.
    [18]
    扈海波, 王迎春, 熊亚军.基于层次分析模型的雷电灾害风险评估.自然灾害学报, 2010, 19(1):104-109. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH201001017.htm
    [19]
    扈海波, 王迎春, 刘伟东.气象灾害事件的数学形态学特征及空间表现.应用气象学报, 2007, 18(6):802-809. doi:  10.11898/1001-7313.200706122
    [20]
    扈海波, 熊亚军, 张姝丽.基于城市交通脆弱性核算的大雾灾害风险评估.应用气象学报, 2010, 21(6):732-738. doi:  10.11898/1001-7313.20100610
    [21]
    吴焕萍, 罗兵, 王维国, 等. GIS技术在决策气象服务系统建设中的应用.应用气象学报, 2008, 19(3):380-384. doi:  10.11898/1001-7313.20080316
  • 加载中
  • -->

Catalog

    Figures(4)  / Tables(4)

    Article views (5042) PDF downloads(1988) Cited by()
    • Received : 2011-01-31
    • Accepted : 2011-06-24
    • Published : 2011-10-31

    /

    DownLoad:  Full-Size Img  PowerPoint