Zheng Guo, Xue Jianjun, Fan Guangzhou, et al. Torrential rain events assessment model for the upstream of the Huaihe River Basin. J Appl Meteor Sci, 2011, 22(6): 753-759.
Citation: Zheng Guo, Xue Jianjun, Fan Guangzhou, et al. Torrential rain events assessment model for the upstream of the Huaihe River Basin. J Appl Meteor Sci, 2011, 22(6): 753-759.

Torrential Rain Events Assessment Model for the Upstream of the Huaihe River Basin

  • Received Date: 2010-11-02
  • Rev Recd Date: 2011-05-27
  • Publish Date: 2011-12-31
  • Torrential rain disaster is one of the most serious meteorological disasters in China, the assessment of which has important practical and theoretical significance. On the basis of precipitation data, statistics analysis is carried out to establish the torrential rain events assessment model, and the torrential rain events which happen in the upstream of the Huaihe River Basin is assessed with this model. Four indicators are selected to describe torrential rain events in this assessment model, which are averaged area daily rainfall, maximum area daily rainfall in area daily, rainfall coverage range and rainfall duration. Through the statistical analysis of historical torrential rain events data, several grades are defined for the four indicators according to the probability distribution, and then the grade standards assessment matrix is established. The degree of the torrential rain events is calculated by the method of the Euclidean distance, through Euclidean distance between the torrential rain events indicator vector and each column vector of the assessment matrix, the degree of this torrential rain event can be determined. Through the assessment of historical and live torrential rain events which happen in the upstream of the Huaihe River Basin, the assessment results correspond well with the actual impact of the torrential rain disaster, which indicates that the degrees of torrential rain events assessed by this torrential rain events assessment model is reasonable. The pre-assessment can be made by this torrential rain events assessment model to publish warning information when the forecast data are used, and the assessment accuracy has a positive effect on the forecast accuracy.Through the assessment of historical torrential rain events by this model, the results show that in 226 historical torrential rain events, there are 47 times belonging to level 1, 86 times belonging to level 2, 55 times belonging to level 3, 25 times belonging to level 4, 9 times belonging to level 5, 3 times belonging to level 6, and just 1 time belonging to level 7, which are consistent with the theoretical analysis. According to the assessment results, the most serious torrential rain events happen in 2007, which is consistent with the historical facts.The correlation between the assessment levels of torrential rain events and the Wangjiaba water levels passes the test of 0.005 level, inferring that the selection of the assessment region and the assessment results of the torrential rain events of this research are rational.The analysis of the assessment results shows that the torrential rain events happen 2 days before the peak of Wangjiaba water level, which has important significance to guide the disaster prevention and mitigation. However, the assessments of the influences of torrential rain events are insufficient, which need further research.
  • Fig. 1  The water distribution and assessment region of the Huaihe River

    Fig. 2  Frequency distribution of area averaged daily rainfall (a) and area maximum daily rainfall (b)

    Fig. 3  Frequency distribution of coverage range (a) and rain duration (b)

    Table  1  The grading standards of assessment indexes

    指标 最小值 1级 2级 3级 4级 5级 6级 7级
    区域平均日降水量/mm 21.49 33.36 47.32 58.32 69.7 82.8 95.2 102.4
    区域最大日降水量/mm 54.8 76.3 121.3 155.4 188.5 227.8 264.2 298.6
    覆盖范围 0.20 0.25 0.38 0.56 0.69 0.79 0.81 0.90
    持续时间/d 1.00 1.02 1.60 1.89 2.25 2.70 2.93 3.35
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    Table  2  The values of assessment indexes of torrential rain events selected

    暴雨事件时段 区域平均日降水量/mm 区域最大日降水量/mm 覆盖范围 持续时间/d
    2008-04-19—20 53.73 108.8 0.50 2
    2008-07-23 100.64 196.0 0.94 1
    2008-08-17 64.91 114.9 0.81 1
    2009-08-29 72.31 219.1 0.62 1
    2010-07-17—18 37.04 113.5 0.28 2
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  • [1]
    中国气象局.中国气象灾害年鉴 (2009).北京:气象出版社, 2009:17.
    [2]
    李崇银, 黄荣辉, 丑纪范, 等.我国重大高影响天气气候灾害及对策研究.北京:气象出版社, 2009:51-53.
    [3]
    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
    [4]
    冯利华.灾害等级的灰色聚类分析.自然灾害学报, 1997, 6(1):14-18. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH701.002.htm
    [5]
    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
    [6]
    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:  10.11898/1001-7313.20090617
    [7]
    张丽娟, 李文亮, 张冬有.基于信息扩散理论的气象灾害风险评估方法.地理科学, 2009, 29(2):250-254. http://www.cnki.com.cn/Article/CJFDTOTAL-DLKX200902016.htm
    [8]
    刘引鸽, 缪启龙, 高庆九.基于信息扩散理论的气象灾害风险评价方法.气象科学, 2005, 25(1):84-89. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKX20050100B.htm
    [9]
    陈艳秋, 袁子鹏, 盛永, 等.辽宁暴雨事件影响的预评估和灾后速评估.气象科学, 2007, 27(6):626-632. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKX200706007.htm
    [10]
    龚祝香.吉林省重大暴雨过程评估方法研究.气象科技, 2008, 36(1):78-81. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ200801018.htm
    [11]
    李春梅, 刘锦銮, 潘慰娟, 等.暴雨综合影响指标及其在灾情评估中的应用.广东气象, 2008, 30(4):1-4. http://www.cnki.com.cn/Article/CJFDTOTAL-GDCX200804003.htm
    [12]
    张顺利, 陶诗言, 张庆云, 等. 1998年夏季中国暴雨洪涝灾害的气象水文特征.应用气象学报, 2001, 12(4):442-457. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20010459&flag=1
    [13]
    毕宝贵, 矫梅燕, 廖要明, 等. 2003年淮河流域大洪水的雨情、水情特征分析.应用气象学报, 2004, 15(6):681-687. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20040683&flag=1
    [14]
    矫梅燕, 金荣花, 齐丹. 2007年淮河暴雨洪涝的气象水文特征.应用气象学报, 2008, 19(3):257-264. doi:  10.11898/1001-7313.20080301
    [15]
    徐群, 张艳霞.近52年淮河流域的梅雨.应用气象学报, 2007, 18(2):147-157. doi:  10.11898/1001-7313.20070227
    [16]
    施能.气象科研与预报中的多元分析方法.北京:气象出版社, 1995:41-43.
    [17]
    丁士晟.多元分析方法及其应用.长春:吉林人民出版社, 1981:601-602.
    [18]
    邓勃.分析测试数据的统计处理方法.北京:清华大学出版社, 1995.
    [19]
    黄嘉佑.气象统计分析与预报方法.北京:气象出版社, 2000: 121-142.
    [20]
    陈光舟, 张晓红.淮河流域面雨量计算方法的比较分析.安徽农业科学, 2009, 37(24):11637-11640. doi:  10.3969/j.issn.0517-6611.2009.24.119
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    • Received : 2010-11-02
    • Accepted : 2011-05-27
    • Published : 2011-12-31

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