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Published in: Environmental Earth Sciences 20/2019

01-10-2019 | Original Article

Multi-criteria evaluation for landslide hazard zonation by integrating remote sensing, GIS and field data in North Kashmir Himalayas, J&K, India

Authors: Irshad Ahmad Bhat, Mifta ul Shafiq, Pervez Ahmed, Tasawoor A. Kanth

Published in: Environmental Earth Sciences | Issue 20/2019

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Abstract

Landslides are one of the major natural hazards that are experienced in hilly terrains all over the world and Himalayas are no exception to this. Though primarily attributed to natural causes, landslides are increasing in frequency and magnitude due to anthropogenic disturbances. This has resulted in enormous damage to both life and property. Hence, identification of landslide prone areas is essential for safer strategic planning of future developmental activities. A landslide hazard zonation (LHZ) map is generated by multi-criteria evaluation (MCE) of various responsible factors like slope, drainage, land use and land cover, lithology, soil and aspect which are weighted on the basis of their relative contribution to the occurrence of landslides. These weights are normalized such that the sum of normalized weights is equal to unity. The study area is divided into five zones based on the deciles of the normalized weights. The results reveal that 40% of the area falls under high LHZ which needs immediate engineering and agronomic measures. The MCE model presented in this study could be utilized for other mountainous regions in general and Himalayas in particular.

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Appendix
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Metadata
Title
Multi-criteria evaluation for landslide hazard zonation by integrating remote sensing, GIS and field data in North Kashmir Himalayas, J&K, India
Authors
Irshad Ahmad Bhat
Mifta ul Shafiq
Pervez Ahmed
Tasawoor A. Kanth
Publication date
01-10-2019
Publisher
Springer Berlin Heidelberg
Published in
Environmental Earth Sciences / Issue 20/2019
Print ISSN: 1866-6280
Electronic ISSN: 1866-6299
DOI
https://doi.org/10.1007/s12665-019-8631-3

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