Analytic hierarchy process and information value method-based landslide susceptibility mapping and vehicle vulnerability
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ORIGINAL PAPER
Analytic hierarchy process and information value method-based landslide susceptibility mapping and vehicle vulnerability assessment along a highway in Sikkim Himalaya Polash Banerjee 1
&
Mrinal Kanti Ghose 2 & Ratika Pradhan 3
Received: 22 November 2017 / Accepted: 15 March 2018 # Saudi Society for Geosciences 2018
Abstract In hilly areas, highway projects can be a cause of landslides as well as an element of vulnerability due to landslides. Hence, landslide susceptibility mapping of highway corridors can substantially mitigate loss of life and property. For this, a Landslide Susceptibility Assessment Model (LSAM) was developed for a corridor of 27 km along NH 10 in the East Sikkim. Landslide inducing factors viz. Aspect, Distance from Fault, Distance from Road, Drainage Density, Land use and Land cover, Lithology, Plan Curvature, Rainfall, Slope, Soil Depth, and Soil Texture were considered for the study. Results show that areas in proximity to the highway and areas with steeper slope had a higher landslide susceptibility than otherwise. Spatial explicit sensitivity analysis indicated that LSAM was sensitive to distance from the highway and slope. Vehicle vulnerability assessment of base year and horizon years showed that vulnerability increased through time. LSAM is appropriate for hazard mitigation for areas with poor historical data on landslides. Keywords Landslide susceptibility mapping . Sensitivity analysis . Highway . Himalaya
Abbreviations LSAM Landslide Susceptibility Assessment Model MCDM Multi-criteria decision making AHP Analytic hierarchy process LSM(s) Landslide susceptibility map(s) SESA Spatial explicit sensitivity analysis OAT One at a time IVM Information Value Method LULC Land use and Land cover
* Polash Banerjee [email protected] Mrinal Kanti Ghose [email protected] Ratika Pradhan [email protected] 1
Department of Computer Science & Engineering, SMIT, Sikkim Manipal University, Majitar, Rangpo, Sikkim 737136, India
2
Department of Computer Applications, Sikkim University, 6th mile, Samdur, Tadong, Gangtok, Sikkim 737102, India
3
Department of Computer Applications, SMIT, Sikkim Manipal University, Majitar, Rangpo, Sikkim 737136, India
LIF(s) BRO LSV ICCR MACR IV(s)
Landslide inducing factor(s) Border Road Organization Landslide susceptibility value Impact Category Change Rate Mean Absolute Change Rate Information Value(s)
Introduction Highways are essential for the development and security of a region. However, broadening of highways can be detrimental to the local environment. Understanding of such detrimental impacts is pivotal for environmentally appropriate decision making by the stakeholders on the viability of such development projects. Environmental Impact Assessment (EIA) involves the assessment of impacts of a development project on the environmental attributes viz. water resources, air quality, noise quality, biodiversity, socioeconomy and hazard susceptibility (Barthwal 2012; Canter 1996). Natural hazards like landslides lead to loss of l
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