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基于城市交通脆弱性核算的大雾灾害风险评估
The Risk Assessment of the Fog Disaster Based on Vulnerability Calculating Related to the Urban Transportation Network
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摘要: 选用大雾观测资料测算城市地区的雾灾危险性指数，以规则网格作为评估单元，逐网格计算网格区域内的路网密度，以此作为雾灾的空间脆弱性指标，并针对重点设施的分布情况对脆弱性指数进行空间叠加订正；选用网格内的人口密度作为雾灾的易损性指标；危险性、脆弱性及易损性3项指标按5：2：1的分配比例综合测算雾灾的风险指数。实例研究选用北京地区1996年1月—2006年12月的大雾资料，按空间网格化方法对大雾灾害风险进行评估，结果表明：北京地区雾灾脆弱性指数的高值区域与高速路及环城路延伸方向一致，城市中心为人口集中分布地区，其综合风险指数高，与高速路段、环城路及机场等地段均为雾灾的高风险区域，北京东南部地区年平均雾日数相对较多，危险性指数值也较高，是雾灾较高风险区域。Abstract: 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.
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Key words:
- the fog in cities;
- probability;
- fragility;
- vulnerability;
- risk assessment
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图 2 不同系数条件下的路网密度图 (a) 系数1，(b) 系数2，(c) 系数3
Fig. 2 The road density map under different coefficients (a) coefficient, (b) coefficient, (c) coefficient
图 3 北京地区大雾危险性指数分布图
Fig. 3 The distribution map of the fog dangerousness index in Beijing
图 4 北京地区雾灾承灾体脆弱性指数 (订正) 网格分布图
Fig. 4 The grid map of revised fog fragility index in Beijing
表 1 道路类型及路网密度计算权重系数表
Table 1 The road type corresponding with the weight coefficient of calculating road-net density
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[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 -
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