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  • 标题:Landslide Susceptibility Mapping Using Multiple Regression and GIS Tools in Tajan Basin, North of Iran
  • 本地全文:下载
  • 作者:Somayeh Mashari ; Karim Solaimani ; Ebrahim Omidvar
  • 期刊名称:Environment and Natural Resources Research
  • 印刷版ISSN:1927-0488
  • 电子版ISSN:1927-0496
  • 出版年度:2012
  • 卷号:2
  • 期号:3
  • 页码:43
  • DOI:10.5539/enrr.v2n3p43
  • 出版社:Canadian Center of Science and Education
  • 摘要:Landslide is a natural hazard that causes many damages to the environment. Depending on the landform, several factors can cause the Landslide. This research addresses the methodology for landslide susceptibility mapping using multiple regression analysis and GIS tools. Based on the initial hypothesis, ten factors were recognized as effectual elements on landslide, which is geology, slope, aspect, distance from roads, faults and drainage network, soil capability, land use and rainfall. Crossing investigated parameters with the observed landslides indicated that three factor including distance from channel network, distance from fault and rainfall have no major effect on observed landslide in Tajan area. In order to quantifying the parameters in the form of weighting factors, the coverage of landslides in different observation was determined. Then Stepwise method was used for statistical analysis. It was found that slope, aspect, distance from the roads and soil capability are as most effective factors in landslide respectively.
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