1. GIS-based Landslide Susceptibility Mapping Using Bivariate Statistical Techniques: A Case Study of State Highway 10 (SH 10) in Himachal Pradesh (H.P.), India
- Author
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Panchal, Sandeep, Shrivastava, Amit Kr, Gonzalez Algarra, Encarnacion, Zabalo Torrejon, Alberto, and Moreno Cuesta, Eduardo
- Abstract
The increasing landslide events along highways is a common problem in hilly regions. The failure of slopes along highways causes huge economic losses and results in fatalities. The aim of this study is to prepare the landslide susceptibility maps along State Highway 10 (SH-10) in the province of Himachal Pradesh (H.P), India. Eight factors including topographic factors, drainage, and land-use are used as causative factors. The bivariate statistical techniques i.e. frequency ratio and statistical index are used to evaluate the relative importance of causative factors and prepare the landslide susceptibility map along SH-10. Two landslide susceptibility maps based on the landslide susceptibility index obtained through the bivariate statistical techniques are obtained and divided into four categories i.e. low, moderate, high, and very high. The results are validated using the receiver’s operation characteristics (ROC) curve. It is observed that the statistical index technique shows more accurate results as compared to the frequency ratio. The results of this study can be used for planning and management of landslide hazards.
- Published
- 2023
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