Journal of Geography & Natural Disasters OPEN ACCESS Freely available online Research Article 1 Correspondence to: Sumit Kumar, Geohazard Research and Management Centre, Geological Survey of India, Kolkata, India, Tel: +918794738224; E-mail: sumit.kumar@gsi.gov.in Received: 24-May-2023, Manuscript No. JGND-23-24362; Editor assigned: 29-May-2023, PreQC No. JGND-23-24362 (PQ); Reviewed: 13-Jun-2023, QC No. JGND-23-24362; Revised: 20-Jun-2023, Manuscript No. JGND-23-24362 (R); Published: 27-Jun-2023, DOI: 10.35841/2167-0587.23.13.272 Citation: Kumar S, Singh G, Karmakar R, Mishra AK, Rajkumar M, Kumar A, et al (2023) A Novel Methodology for Large-Scale Landslide Susceptibility Mapping Based on Landslide Domain; An Effective Tool for Local Landslide Management and Planning: A Case Study from Darjeeling Himalaya, India. J Geogr Nat Disasters. 13: 272 Copyright: © 2023 Kumar S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. A Novel Methodology for Large-Scale Landslide Susceptibility Mapping Based on Landslide Domain; An Effective Tool for Local Landslide Management and Planning: A Case Study from Darjeeling Himalaya, India Sumit Kumar 1* , Gargi Singh 1 , Rabisankar Karmakar 1 , Akshay Kumar Mishra 1 , Mathiyalagan Rajkumar 1 , Abhisek Kumar 1 , Pankaj Jaiswal 2 , Saibal Ghosh 1 1 Geohazard Research and Management Centre, Geological Survey of India, Kolkata, India; 2 North Eastern Region, Geological Survey of India, Shillong, India ABSTRACT A Mesoscale scale landslide susceptibility methodology has been derived with an aim to produce a susceptibility map that can define the susceptibility of a slope to a specific process of landsliding so that it can be used by stakeholders for detailed planning in landslide management and infrastructure developement. The methodology is based on intensive field and laboratory input. The mapping in such a large (1:10.000 or larger) scale helped in defining the domains based on slope material and processes. Domain specific geo factors were derived using the knowledge of landslides in the terrain. To define the actual slope mass character, geotechnical map was prepared using RMR basic and slope for rocky areas; C and Φ values as well as the slope, in debris and soil covered areas. The modelling was carried out in ArcGIS 10.3. Various geo-factors for landsliding like geotechnical properties of slope forming material, structure, Stream Power Index (SPI), landform, landuse-landcover, relative relief, regolith thickness etc. has been considered for the study. DEM derived slope and aspect were used for preparing the geotechnical map. Structure, slope, aspect and RMR basic were used to prepare the Kinematic failure map. In each domain, the responsible geofactors were evaluated and landslide susceptibility was calculated using Multi class Index Overlay Method (McIOM). A combined susceptibility map was prepared for the study area using the susceptibility condition derived for each domain. However, the susceptibility map thus prepared only indicated landslide initiation susceptibility of the area to consider the run-out susceptibility also, the impact probability map for debris flow was derived using a conceptual model (r.randomwalk) wherein the boundary conditions were defined by using the debris flow inventory. Both the initiation and runout susceptibility map was classified into three classes using natural break values into high, moderate and low. The debris slide, earth slide, rock slide, rock fall and cut-slope domain is calculated to have 38%, 7.5%, 28.81%, 11.9% and 44% area under high susceptibility respectively. The methodology developed is highly effective in defining the various spatial proneness of the slopes in the area to specific types of landslide and also defines the impact probability of debris flow along its path of propagation. This output provides immense information essential for local land use planning, managing landslide prone areas, prioritizing developmental activities in different sectors and developing safe communication corridors. Keywords: Landslide; Landslide domains; Geotechnical map; Kinematic failure map; McIOM; Mesoscale; Susceptibility; Darjeeling district; Kurseong J Geogr Nat Disasters, Vol. 13 Iss. 2 No: 10000272