Regolith thickness modeling using a GIS approach for landslide distribution analysis, NW Himalayas Regolith thickness modeling using a GIS approach for landslide distribution analysis, NW Himalayas

最小化 最大化

Vol15 No.11: 2466-2479

Title】Regolith thickness modeling using a GIS approach for landslide distribution analysis, NW Himalayas

Author】Muhammad BASHARAT1*; Masood QASIM1; Muhammad SHAFIQUE2; Nasir HAMEED3; Muhammad Tayyib RIAZ1; Muhammad Rustam KHAN1

Addresses】1 Institute of Geology, University of Azad Jammu and Kashmir, Muzaffarabad 13100, Pakistan; 2 National Center of Excellence in Geology, University of Peshawar, Peshawar 25120, Pakistan; 3 Land Use Planning and Development Department, Azad Jammu and Kashmir, Muzaffarabad 13100, Pakistan

Corresponding author】Muhammad BASHARAT

Citation】Basharat M, Qasim M, Shafique M, et al. (2018)Regolith thickness modeling using a GIS approach for landslide distribution analysis, NW Himalayas. Journal of Mountain Science 15(11). https://doi.org/10.1007/s11629-018-4840-6

DOI】https://doi.org/10.1007/s11629-018-4840-6

Abstract】Regolith thickness is considered as a contributing factor for the occurrence of landslides. Although, mostly it is ignored because of complex nature and as it requires more time and resources for investigation. This study aimed to appraise the role of regolith thickness on landslide distribution in the Muzaffarabad and surrounding areas, NW Himalayas. For this purpose regolith thickness samples were evenly collected from all the lithological units at representative sites within different slope and elevation classes in the field. Topographic attributes (slope, aspect, drainage, Topographic Wetness Index, elevation and curvature) were derived from the Digital Elevation Model (DEM) (12.5 m resolution). ArcGIS Model Builder was used to develop the regolith thickness model. Stepwise regression technique was used to explore the spatial variation of regolith thickness using topographic attributes and lithological units. The derived model explains about 88% regolith thickness variation. The model was validated and shows good agreement (70%) between observed and predicted values. Subsequently, the derived regolith model was used to understand the relationship between regolith thickness and landslide distribution. The analysis shows that most of the landslides were located within 1-5 m regolith thickness. However, landslide concentration is highest within 5-10 m regolith thickness, which shows that regolith thickness played a significant role for the occurrence of landslide in the studied area.

Keywords】Regolith; GIS; Regression; Landslides; Himalayas