Landslide hazard zonation using analytical hierarchy process along National Highway-3 in mid Himalayas of Himachal Pradesh, India

2018 ◽  
Vol 77 (20) ◽  
Author(s):  
Akhilesh Kumar ◽  
Ravi Kumar Sharma ◽  
Vijay Kumar Bansal
2020 ◽  
Author(s):  
Bappaditya Koley ◽  
Anindita Nath ◽  
Srabanti Bhattacharya ◽  
Subhajit Saraswati ◽  
Bidhan Chandra Ray

Abstract Landslide Hazards Zonation Mapping is a major tool for the geographer, geologist, ground engineer, and land-use planner for landslide prevention strategies. The main outcome of the present study is to prepare a Landslide Hazards Zonation Map of the region along the North Sikkim Road Corridor in Sikkim Himalayas, an area highly vulnerable to the landslides. The initial step of this study is involved preparation of input raster layers of the landslide controlling factors. Seven controlling factors are selected for this purpose. These controlling factor-like slope, aspect, lithology, faults, river alignment, road network, and land-use are through Geographic Information System software using multi-criteria analysis. The Analytic Hierarchy Process is used to determine the weightage of the various causative factors. Weighted Overlay Method is used for the assignment of ranks and weights to each factor. The Landslide Hazard Zonation Index is then estimated with the help of a multi-criteria analysis based on assigned rank and weight given by the Analytic Hierarchy Process. Finally, Landslide Hazard Zonation Mapping is done along the study area road corridor. Based on Hazards Index, the study area is classified into four hazard zones and classified as Very High (12.12%), High (40%), Moderate (37.20%), and Low Hazard Zones (10.68%). This zonation map is helpful for landslide hazard prevention, mitigation, proper planning of tourism and land-use management, and social development along the North Sikkim Road Corridor.


2020 ◽  
Author(s):  
Desh Deepak Pandey ◽  
Rajeswar Singh Banshtu ◽  
Kanwarpreet Singh ◽  
Laxmi Devi Versain

Abstract Landslides have adversely affected the southern region of Chamba district during past three decades. To minimize the damage to ecology and environment due to such natural calamities, landslide hazard zonation and mitigation measures are essential component to stabilize the natural slopes and other physiographic features. In order to remodeling lopsidedness in study area analytical hierarchy process and information value methods with applications of remote sensing and geographic information system (GIS) are utilized to delineate the most recumbent landslide hazard zones. Eleven-factor maps like slope gradient, slope aspect, relative relief, land use/ cover etc., were delineated using different sets of data like satellite images and field investigations etc. Depending upon the severity, landslide hazard maps (LHZ) were further divided based upon information value method and analytical hierarchy process models respectively, into five different categories very low (1.2% and 2.95%), low (5.31% and 4.27%), moderate (24.40% and 20.03%), high (29.26% and 31.03%), and very high (40.30% and 44.2%). These hazard maps obtained through both information value and analytical hierarchy process (AHP) were compared for accuracy using success rate curve (SRC) method. Accuracy of the hazard zonation maps was found to be 78.62% for AHP and 85.17% for Inf. Value models.


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