Hu Haibo, Xiong Yajun, Zhang Shuli. The risk assessment of the fog disaster based on vulnerability calculating related to the urban transportation network. J Appl Meteor Sci, 2010, 21(6): 732-738.
Citation: Hu Haibo, Xiong Yajun, Zhang Shuli. The risk assessment of the fog disaster based on vulnerability calculating related to the urban transportation network. J Appl Meteor Sci, 2010, 21(6): 732-738.

The Risk Assessment of the Fog Disaster Based on Vulnerability Calculating Related to the Urban Transportation Network

  • Received Date: 2009-09-27
  • Rev Recd Date: 2010-07-08
  • Publish Date: 2010-12-31
  • In well developed urban area, the atmosphere is full filled with more aerosol than in suburban and rural area for industrial pollution and automobile emissions. It is evident that the accumulation of air pollutants contributes to the intensification of fog in urban. Fog has impacts on the living of citizens, especially in traffic affairs, in which fatal collision can cause casualties and death, further more the bad air quality in fog influences human healthy heavily. So it is very necessary to assess the risk of the fog disaster in city for emergency and disaster risk management. A new method is proposed to assess the urban fog disaster risks, calculating a risk index from fog probability, fragility and vulnerability, and the index is overlapped onto the map with GIS grid cell technology. The fog probability in urban area is determined based on the observatory data. The frequency of fog days is considered to be the probability of fog disaster, and for each grid cell a value is assigned. The Fragility Exponential (FE) is computed upon the regular gird cell, in which the density of the road net is its substitution while different road types have different weight coefficients in measuring the density, and the FE can be modified according to the important facility distribution. In the end, the density of the road net is normalized and considered to be the fragility of fog disaster. The population density is used as the index of vulnerability. Moreover, the probability, fragile, and vulnerability is composed by 5:2:1 to integrally sum up as the risk index of fog disaster in urban area. A 10 year fog observatory data of Beijing district is studied to assess the fog disaster risk by spatial grid. The result indicates that the high fragility value area is consistent to the extending of highway, ring roads and high rank roads. High risk area of fog disaster distributes in urban central area with dense population, highway, ring roads extension area and airport. It's also found that the frequency of fog in southeast area of Beijing is relative higher than any other area.
  • Fig. 1  The sketch map of urban road-net with overlapped grid

    Fig. 2  The road density map under different coefficients (a) coefficient, (b) coefficient, (c) coefficient

    Fig. 3  The distribution map of the fog dangerousness index in Beijing

    Fig. 4  The grid map of revised fog fragility index in Beijing

    Fig. 5  The population density distribution map of Beijing

    Fig. 6  The merged-map of integrated fog risk index in Beijing

    Table  1  The road type corresponding with the weight coefficient of calculating road-net density

  • [1]
    周淑贞, 束炯.城市气候学.北京:气象出版社, 1994.
    [2]
    王继志, 徐祥德, 杨元琴.北京城市能见度及雾特征分析.应用气象学报, 2002, 13(增刊):160-169. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX2002S1017.htm
    [3]
    张光智, 卞林根, 王继志, 等.北京及周边地区雾形成的边界层特征.中国科学 (D辑), 2005, 35(增刊I):73-83. http://www.cnki.com.cn/Article/CJFDTOTAL-JDXK2005S1007.htm
    [4]
    Stanley Kaplan, John B Garrick. On the quantitative definition of risk. Risk Analysis, 2006, 1(1): 11-27.
    [5]
    何金梅, 王冬梅, 李晓霞.甘肃省高等级公路沿线大雾天气气候特征及其预报服务.干旱气象, 2006, 24(1):48-52. http://www.cnki.com.cn/Article/CJFDTOTAL-GSQX200601009.htm
    [6]
    张飒, 冯建设.济青高速公路大雾天气气候特征及其影响.气象, 2005, 31(2):70-89. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX200502016.htm
    [7]
    刘小宁, 张洪政, 李庆祥, 等.我国大雾的气候特征及变化初步解释.应用气象学报, 2005, 16(2):220-230. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20050227&flag=1
    [8]
    张德山, 丁德平, 穆启占, 等.北京奥运交通路段精细预报.应用气象学报, 2009, 20(3):380-384. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20090316&flag=1
    [9]
    郭虎, 熊亚军, 扈海波.北京市奥运期间气象灾害风险承受与控制能力分析.气象, 2008, 34(2):77-82. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX200802012.htm
    [10]
    扈海波, 董鹏捷, 熊亚军, 等.基于空间模式的北京奥运期间冰雹灾害风险评估.气象, 2008, 34(12):84-89.
    [11]
    Wang Jing'ai, Su Yun, Shang Yanrui, et al. Vulnerability identification and assessment of agriculture drought disaster in China. Advances in Earth Science, 2006, 21(2) :161-168.
    [12]
    北京市减灾协会灾害损失评估小组. 北京地区突发气象灾害数据库. 北京市减灾协会, 2006.
    [13]
    谢璞.中国灾害大典 (北京卷).北京:气象出版社, 2005.
    [14]
    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. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=200706122&flag=1
    [15]
    扈海波, 王迎春.基于数学形态学方法的统计数值空间离散化图谱生成.计算机工程, 2007, 33(21):9-11. http://www.cnki.com.cn/Article/CJFDTOTAL-JSJC200721006.htm
    [16]
    北京市气象局灾害风险评估小组. 北京市奥运期间突发气象灾害风险评估及对策研究. 北京: 北京市气象局, 2007.
    [17]
    John B Garrick. The use of risk assessment to evaluate waste disposal facilities in the United States of America. Safety Science, 2002, 40:135-151. doi:  10.1016/S0925-7535(01)00035-2
  • 加载中
  • -->

Catalog

    Figures(6)  / Tables(1)

    Article views (3876) PDF downloads(2063) Cited by()
    • Received : 2009-09-27
    • Accepted : 2010-07-08
    • Published : 2010-12-31

    /

    DownLoad:  Full-Size Img  PowerPoint