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遥感技术与应用  2011, Vol. 26 Issue (6): 845-854    DOI: 10.11873/j.issn.1004-0323.2011.6.845
地理信息系统     
基于GIS和Logistic回归模型的兰州市滑坡灾害敏感性区划研究
方苗1,2,张金龙1 ,徐瑱1
(1.中国科学院寒区旱区环境与工程研究所,甘肃 兰州730000;2.中国科学院研究生院,北京100049)
Landslide Susceptibility Zoning Study in Lanzhou City based on GIS and Logistic Regression Model
Fang Miao1,2,Zhang Jinlong1,Xu Zhen1
(1.Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou 730000,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China)
 全文: PDF(2701 KB)  
摘要:

针对兰州市脆弱的地质环境和频繁发生的滑坡灾害,采用Logistic回归模型,以ArcGIS和SPSS软件为工具,选取地层岩性、断层构造、坡度、地貌、植被覆盖度、7~9月平均降水、道路(公路、铁路)作为滑坡灾害影响因子。首先对每个影响因子分级并计算每个因子指标值,然后在ArcMap中对影响因子图层进行叠加操作,最后在SPSS软件中运用Logistic回归方法,计算出每个影响因子的系数值并建立Logistic回归模型。根据Logistic回归模型在ArcMap中绘制兰州市滑坡灾害敏感性区划图,区划图和实际的滑坡分布情况基本吻合。模型的Kappa系数值和ROC曲线下面积值(AUC值)分别为0.623和0.709,两种方法的检验结果均表明模型模拟效果较好,能应用于兰州市滑坡灾害敏感性区划研究中。

关键词: 滑坡灾害敏感性Logistic回归影响因子Kappa值ROC曲线    
Abstract:

For fragile geological environment and the frequent occurrence of landslides in Lanzhou city,in this paper,based on Logistic regression model and adopted ArcGIS and SPSS softwares,selected elevation,slope,average precipitation from July to September,vegetation cover,roads,railways,lithology,faults as impacted factors of Lanzhou landslide disaster.First of all,impacted factors were classificated and calculated index values of every class at the same time,and then overlapped all impacted factors in ArcMap of ArcGIS software.The end,use of Logistic multiple non\|linear statistical methods to calculate the coefficient of each impacted factor in SPSS software,according to the statistical results,Logistic regression model was gained.Drawed the Lanzhou landslide susceptibility zoning map based on Logistic regression model in ArcMap,zoning map of landslides accord with the actual distribution of landslides.Kappa value and AUC value of the model were 0.623 and 0.709 respectively,the tested results of the two methods showed that the model is good and can be applied to the Lanzhou landslide susceptibility zoning studies.

Key words: Landslide hazard    Susceptibility    Logistic regression    Impact factors    Kappa value    ROC curve
收稿日期: 2011-04-25 出版日期: 2012-01-10
:  TP 79  
基金资助:

中国科学院“西部之光”人才培养计划项目“兰州市地质灾害脆弱性及其防治的信息化研究”(Y028A11001)资助。

作者简介: 方苗(1984-),男,陕西安康人,硕士研究生,主要从事GIS应用开发与地质灾害防治研究。Email:fangmiaomiaomiao@126.com。
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引用本文:

方苗,张金龙,徐瑱. 基于GIS和Logistic回归模型的兰州市滑坡灾害敏感性区划研究[J]. 遥感技术与应用, 2011, 26(6): 845-854.

Fang Miao,Zhang Jinlong,Xu Zhen. Landslide Susceptibility Zoning Study in Lanzhou City based on GIS and Logistic Regression Model. Remote Sensing Technology and Application, 2011, 26(6): 845-854.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2011.6.845        http://www.rsta.ac.cn/CN/Y2011/V26/I6/845

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