Landslide susceptibility mapping using morphological and hydrological parameters in Sikkim Himalaya: frequency ratio model and geospatial technologies

Irjesh Sonker, Jayant Nath Tripathi () and Swarnim
Additional contact information
Irjesh Sonker: University of Allahabad
Jayant Nath Tripathi: University of Allahabad
Swarnim: University of Allahabad

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2024, vol. 120, issue 7, No 37, 6797-6832

Abstract: Abstract Sikkim Himalaya, a part of the North-Eastern Himalayan region, is affected by the landslides and it causes the loss of life, property, and other human infrastructure, etc. The objective of study is identification of landslides susceptibility zones of the Sikkim Himalaya, using various factors/thematic layers, such as absolute relief, relative relief, relief ratio, dissection index, hypsometric integral, slope index, drainage density, drainage frequency, drainage intensity, drainage texture, infiltration number, junction frequency, length of overland flow, ruggedness index, stream transport index, topographic wetness index, stream power index, and rainfall and all these layers are integrated in Arc GIS software using FR model. These spatial factors are generated using Alos Palsar DEM and rainfall data with the help of the Arc GIS. The FR model was utilised for the purpose of determining the weights of such all-thematic layers for the possibility of landslides occurring in regions that are susceptible to the effects of landslides. These weight of such all thematic layers are combined using the Arc GIS to create the map of landslide susceptibility zones. The map of the landslide susceptibility zones of the region has been split into five distinct categories, including ‘very high’ (13.20%), ‘high’ (19.75%), ‘moderate’ (30.81%), ‘low’ (27.14%), ‘very low’ (9.09%). For accuracy analysis of the model the area under the curve is used and is estimated as 84.6% with the help of the FR model and occurrence of previous landslides in the region.

Keywords: Morphometrical; Hydrological; Remote sensing and GIS; Frequency ratio model; Sikkim Himalaya (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-024-06491-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:120:y:2024:i:7:d:10.1007_s11069-024-06491-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-024-06491-7

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().