Investigating landslide susceptibility in the mountainous area of Union Territory Jammu and Kashmir, India: a comparative perspective
by Lucky Sharma; Narendra Kumar Rana; Gaggan Kumar
International Journal of Global Environmental Issues (IJGENVI), Vol. 23, No. 1, 2024

Abstract: The escalation of geo-hazards, particularly landslides, has become a pressing concern, exacerbated by both natural factors and human activities. The frequency of rainfall-triggered landslides in mountainous regions is surging, posing imminent threats to lives and infrastructure. Jammu and Kashmir witness this peril throughout the year, affecting millions. This study focuses on creating a landslide susceptibility map for District Doda, employing a multi-method approach. A comparative analysis of multi-criteria decision method-analytical hierarchy process (AHP) and Shannon information entropy (SIE) determines their efficacy. The inventory, comprising 250 landslides, incorporates nine conditioning factors. AHP designates 91% of the area as very high or highly susceptible, while SIE identifies 46.49% as vulnerable. Area under curve (AUC) values of 0.898 and 0.976 for AHP and SIE, respectively, underscore the latter's superior predictive capability. This study is instrumental in aiding stakeholders with decision-making, land-use planning, and formulating effective mitigation strategies.

Online publication date: Thu, 26-Sep-2024

Free full text access

If you still need assistance, please email subs@inderscience.com