Wang Jin, Liu Liping. Hail distribution and topographical factors in Guizhou Province based on GIS technique. J Appl Meteor Sci, 2008, 19(5): 627-634.
Citation: Wang Jin, Liu Liping. Hail distribution and topographical factors in Guizhou Province based on GIS technique. J Appl Meteor Sci, 2008, 19(5): 627-634.

Hail Distribution and Topographical Factors in Guizhou Province Based on GIS Technique

  • Received Date: 2007-09-19
  • Rev Recd Date: 2008-04-07
  • Publish Date: 2008-10-31
  • Research on the relationship of topographical factors to distribution of hail, and getting an image of subdivisions for hail hazard which quantificationally concerns the difference of topographical factors are important to hailweather forecasting.Also, best services for decision-making to disaster prevention and reduction is provided.The relationship between distribution of hail and some topographical factors, such as elevation, slope grade, slope aspect and terrain incision depth, are studied by using GIS techniques, such as digital terrain analysis, zonal statistics and image classification with historical hail records of 84 meteorological stations over 44 years inGuizhou Province and the 1:1000000 resolution DEM data of China.It shows that natural logarithm of meanannual hail days conforms to normal distribution.The elevation is the major topographical factor which primarilyinfluence the distribution of hail, the annual mean hail days increase with the increase of elevation and it increases remarkably as the elevation increases to about 1000—1500 meters.Micro topographical factors, such as slopegrade and slope aspect, are not remarkable factors to the variance of annual mean hail days, but topography rising over large area and windward slope of warm moist air are favorable to hail. Terrain incision depth is not remarkable factor to the difference of annual mean hail days either.Different latitude is also one of the factorswhich influence the difference of annual mean hail days.The model for annual mean hail days derived from thethree remarkable factors and the map of hail hazard evaluation are reliable via statistical test and comparison tohistorical hail reports over countryside spots.The analysis is influenced due to the lack of hail reports in inner mountainous area in Guizhou and the incomplete collection of hail reports data.The relationship between different topographical factors should be further studied.
  • Fig. 1  Image of hail distribution(a)and topographical map(b)in Guizhou

    Fig. 2  Cumulative proportion for Lhaildays against the cumulative proportion expected(a) and residual distribution of cumulative proportion for Lhaildays(b)

    Fig. 3  Relationship between terrain elevation and mean annual hail days

    Fig. 4  Image of classification for terrain slope in Guizhou

    Fig. 5  Image of windward slope(the left-bottom areas of white line)and leeward slope(the other areas)

    Fig. 6  Image of classification depth of erosion(a)and slope(b)in Guizhou

    Fig. 7  Relationship between depth of erosion and mean annual hail days

    Fig. 8  Image of subdivisions for hail hazard in Guizhou

    Table  1  Analysis of variance for terrain elevation and Lhaildays

    Table  2  Reliability test of the image of subdivisions for hail hazard in Guizhou

  • [1]
    楼小凤, 胡志晋, 王广河.对流云降水过程中地形作用的数值模拟.应用气象学报, 2001, 12(增刊): 113-121. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX2001S1014.htm
    [2]
    徐国钧, 余隽勇, 谢光荣.复杂地形影响冰雹云发展的数值模拟实验.云南大学学报(自然科学版), 2000, 22(4): 274-279. http://www.cnki.com.cn/Article/CJFDTOTAL-YNDZ200004007.htm
    [3]
    许焕斌, 王思微.二维冰雹云数值模式.气象学报, 1988, 46(2): 227-235. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB198802013.htm
    [4]
    康凤琴, 张强, 马胜萍.青藏高原东北边缘冰雹形成机理.高原气象, 23(6): 751-757. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX200406003.htm
    [5]
    施望芝, 金琪, 郭施.湖北一次冰雹天气过程的落区诊断分析和预报.热带气象学报, 2004, 20(2): 212-217. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200402013.htm
    [6]
    傅抱璞.地形和海拔高度对降水的影响.地理学报, 1992, 7: 303-314. http://www.cnki.com.cn/Article/CJFDTOTAL-DLXB199204001.htm
    [7]
    罗培. GIS支持下的气象灾害风险评估模型.自然灾害学报, 2007, 16(1): 37-44. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200701007.htm
    [8]
    张鸿发, 邓科, 王有才.断层与冰雹灾害的相关分析.高原气象, 1995, 14(2): 157-164. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX502.003.htm
    [9]
    谢静芳, 王晓明.吉林省对流性天气的分布特征及地形影响机制.气象, 1994, 20(8):43-47. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX199408008.htm
    [10]
    刘引鸽.下垫面对冰雹的影响机理.宝鸡文理学院学报, 2000, 20(4):295-297. http://www.cnki.com.cn/Article/CJFDTOTAL-BJWX200004017.htm
    [11]
    周启鸣, 刘学军.数字地形分析.北京:科学出版社, 2006.
    [12]
    汤国安, 杨昕. ArcGIS地理信息系统空间分析实验教程.北京:科学出版社, 2006.
    [13]
    Dai F C, Lee C F. A spatiotemporal probabilistic modeling of storminduced shallow landsliding using aerial photographs and logistic regression.Earth Surface Processes and Landforms, 2003, 28: 527-545. doi:  10.1002/(ISSN)1096-9837
    [14]
    Ohlmacher G C, Davis J C.Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas.Engineering Geology, 2003, 69: 331-343. doi:  10.1016/S0013-7952(03)00069-3
    [15]
    Chung C F, Fabbri A G. Probabilistic prediction models for landslide hazard mapping.Photogrammetric Engineering and Remote Sensing, 1999, 65(12): 1389-1399. https://www.researchgate.net/publication/209802926_Probabilistic_prediction_models_for_landslide_hazard_mapping
  • 加载中
  • -->

Catalog

    Figures(8)  / Tables(2)

    Article views (4153) PDF downloads(2290) Cited by()
    • Received : 2007-09-19
    • Accepted : 2008-04-07
    • Published : 2008-10-31

    /

    DownLoad:  Full-Size Img  PowerPoint