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Regional-scale landslide susceptibility assessment for the hilly state of Himachal Pradesh, NW Himalaya, India


Affiliations
1 Wadia Institute of Himalayan Geology, Dehradun 248 001, India; Present address: Department of Geology, Sikkim University, Gangtok 737 102, India
2 Wadia Institute of Himalayan Geology, Dehradun 248 001, India; Department of Geophysics, Kurukshetra University, Kurukshetra 136 119, India
3 Wadia Institute of Himalayan Geology, Dehradun 248 001, India
4 Uttarakhand Landslide Mitigation and Management Centre, Dehradun 248 001, India

Himachal Pradesh (HP), one of the 11 states of the Indian Himalayan Region, has a prolonged history of landslides and related mass-movement activities. In recent years, landslide incidences have increased significantly in the state due to changing climatic patterns and enhanced anthropogenic interventions. Therefore, to understand the spatial distribution of landslide-prone zones, regional-scale landslide susceptibi­lity mapping for the entire state has been carried out using two bivariate methods, i.e. weight of evidence and information value. The results depict that 25–30% of the total area of the state is confined in the high to very high landslide susceptible (LS) zones. These are dominantly confined to three regions: Kinnaur, Lahaul, Chamba and upper Kangra. It is also ascertained that a higher percentage of high and very high LS zones are located at an elevation of 2000–4000 m and on the slopes facing south with an inclination ˃40°. Moderate and low to very low LS zones comprise ~27% and ~43–48% of the total area respectively, and are confined to the Outer and Lesser Himalaya. These maps were validated using the success rate curve and prediction rate curve, indicating that both models have more or less similar efficiency and accuracy

Keywords

Anthropogenic interventions, bivariate methods, hilly areas, landslides, susceptibility assessment
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  • Regional-scale landslide susceptibility assessment for the hilly state of Himachal Pradesh, NW Himalaya, India

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Authors

Vikram Gupta
Wadia Institute of Himalayan Geology, Dehradun 248 001, India; Present address: Department of Geology, Sikkim University, Gangtok 737 102, India
Ramandeep Kaur
Wadia Institute of Himalayan Geology, Dehradun 248 001, India; Department of Geophysics, Kurukshetra University, Kurukshetra 136 119, India
Sandeep Kumar
Wadia Institute of Himalayan Geology, Dehradun 248 001, India
Bikash Kumar Ram
Wadia Institute of Himalayan Geology, Dehradun 248 001, India
Ruchika S. Tanton
Uttarakhand Landslide Mitigation and Management Centre, Dehradun 248 001, India

Abstract


Himachal Pradesh (HP), one of the 11 states of the Indian Himalayan Region, has a prolonged history of landslides and related mass-movement activities. In recent years, landslide incidences have increased significantly in the state due to changing climatic patterns and enhanced anthropogenic interventions. Therefore, to understand the spatial distribution of landslide-prone zones, regional-scale landslide susceptibi­lity mapping for the entire state has been carried out using two bivariate methods, i.e. weight of evidence and information value. The results depict that 25–30% of the total area of the state is confined in the high to very high landslide susceptible (LS) zones. These are dominantly confined to three regions: Kinnaur, Lahaul, Chamba and upper Kangra. It is also ascertained that a higher percentage of high and very high LS zones are located at an elevation of 2000–4000 m and on the slopes facing south with an inclination ˃40°. Moderate and low to very low LS zones comprise ~27% and ~43–48% of the total area respectively, and are confined to the Outer and Lesser Himalaya. These maps were validated using the success rate curve and prediction rate curve, indicating that both models have more or less similar efficiency and accuracy

Keywords


Anthropogenic interventions, bivariate methods, hilly areas, landslides, susceptibility assessment



DOI: https://doi.org/10.18520/cs%2Fv125%2Fi12%2F1369-1380