Landslide Inventorization and Susceptibility Mapping in the Semi-Arid Kargil-Ladakh Region of Northwestern Himalaya
Authors
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Department of Geography and Disaster Management, University of Kashmir, Srinagar - 190 006
Mohmad Akbar -
Department of Geography and Disaster Management, University of Kashmir, Srinagar - 190 006
M. Shafi Bhat
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National Institute of Disaster Management, New Delhi - 110 001
Amir Ali Khan
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Jamia Millia Islamia, New Delhi - 110 025, India
Arunima Chanda
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Department of Geography and Disaster Management, University of Kashmir, Srinagar - 190 006
Hilal Ahmad Parrey
DOI:
https://doi.org/10.17491/jgsi/2024/173894Keywords:
No Keywords.Abstract
Landslides often result in damage to property and loss of life in the Himalayan Region because of high seismicity and rugged terrain. To address this issue, the current study focused on developing a landslide inventory based susceptibility map for Kargil-Ladakh Region of North-Western Himalaya. The landslide susceptibility map for the region was generated with the help of Frequency Ratio (FR) Method, landslide inventory layer and eleven influencing factors such as; elevation, geomorphology, aspect, slope, plan curvature, lithology, rainfall, profile curvature, distance from road and lineaments, temperature, and land cover. The results reveal that approximately (50%) of the study-area lies under moderate to very high susceptibility zones. The low and very low susceptibility zones cover the remaining (50%) of the study-area. The findings highlight that several factors significantly contribute to landslide occurrences in the region, namely slope, road network, elevation, rainfall, and land cover. The northern part of the study area is particularly susceptible to landslides due to the presence of the national highway, a high concentration of settlements, and increased infrastructure development. Furthermore, areas surrounding local highways and community road networks show moderate landslide susceptibility. The results were validated with the help of the Receiver Operating Characteristic (ROC) curve, yielding a value of (82%) which is well within the acceptable limit. The results underscore the importance of developing site-specific landslide mitigation strategies to safeguard vulnerable communities in this strategically significant border region of India.
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