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区域滑坡因子敏感性的Logistic回归分析
引用本文:李雪平1,唐辉明1,周顺平2. 区域滑坡因子敏感性的Logistic回归分析[J]. 延边大学学报(自然科学版), 2005, 0(4): 14-18
作者姓名:李雪平1  唐辉明1  周顺平2
作者单位:1.中国地质大学工程学院,武汉430074;2.中国地质大学信息工程学院,武汉430074
摘    要:应用Logistic回归模型评价区域滑坡因子敏感性。将巫山县新址西区选作研究区,选取地形地貌、岩性特征、地质构造等因子,以MAPGIS地理信息系统为技术支撑,将全区按10m×10m大小划分为14450个格网单元,每个格网单元作为一个样本数据,建立Logistic回归模型。对回归模型中取得的各项参数进行分析,得出坡度为15°~30°、坡高300m以内、坡向南、岩性T2b1和T2b3、顺向坡2(β>α)和切向坡、距有影响的构造线60m内为研究区滑坡的敏感因素。结果表明采用Logistic回归方法具有较高可信度,可为滑坡灾害的防治、预测及土地利用服务。

关 键 词:滑坡  因子  敏感性  Logistic  地理信息系统

Logistic Regression Analysis on Sensitivity of Regional Landslide Factors
LI Xue-ping1,TANG Hui-ming1,ZHOU Shun-ping 2. Logistic Regression Analysis on Sensitivity of Regional Landslide Factors[J]. Journal of Yanbian University (Natural Science), 2005, 0(4): 14-18
Authors:LI Xue-ping1  TANG Hui-ming1  ZHOU Shun-ping 2
Affiliation:1. School of Engineering, China University of Geosciences, Wuhan 430074, China;2. School of In formation Engineering, China University of Geosciences, Wuhan 430074, China
Abstract:The purpose of this study is to develop sensitivity analysis of regional landslide by Logistic regression model. Thewest area of Wushan County was chosen as a research area. The Logistic regression model was built that in independent vari-ables were landform, physiognomy, lithological character and geological structure and dependent variable was landslide loca-tion data. The research area was divided into 14 450 cells by 10 m× 10 m based on MAPGIS. It is concluded that the sensi-tivity factors of landslide in research area are gradient(between 15° and 30°), height(below 300 m), orientation of slope(south), strata(T2b1and T2b3), slope direction(consequent slope and tangential slope), distance to structural line affectingthe slope(less than 60 m)The result can be used in prevention of hazard, land use planning.
Keywords:landslide  factor  sensitivity  Logistic  GIS
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