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

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/themat...

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Bibliographic Details
Published in:Natural hazards (Dordrecht) 2024-05, Vol.120 (7), p.6797-6832
Main Authors: Sonker, Irjesh, Tripathi, Jayant Nath, Swarnim
Format: Article
Language:English
Subjects:
Civil Engineering
Drainage
Drainage density
Earth and Environmental Science
Earth Sciences
Environmental Management
Geographic information systems
Geographical information systems
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Hydrologic data
Landslide effects
Landslides
Landslides & mudslides
Natural Hazards
Original Paper
Overland flow
Precipitation
Rainfall
Rainfall data
Rivers
Ruggedness
Surface runoff
Susceptibility
Wetness index
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Summary: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.
ISSN:0921-030X
1573-0840
DOI:10.1007/s11069-024-06491-7