Analytic hierarchy process and information value method-based landslide susceptibility mapping and vehicle vulnerability assessment along a highway in Sikkim Himalaya

  • Polash Banerjee
  • Mrinal Kanti Ghose
  • Ratika Pradhan
Original Paper
  • 39 Downloads

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

LIF(s)

Landslide inducing factor(s)

BRO

Border Road Organization

LSV

Landslide susceptibility value

ICCR

Impact Category Change Rate

MACR

Mean Absolute Change Rate

IV(s)

Information Value(s)

Notes

Acknowledgements

We would like to thank the Faculty members of the Dept. of Geology, Sikkim University; Mr. D. G. Shresthra and Mr. N. Sharma of Sikkim State Remote Sensing Applications Centre; Border Roads Organization, Melli; Dr. L.P. Sharma of National Informatics Centre, Gangtok; and Mr. S.D. Bhutia of Tashi Namgyal Academy for extending their expertise and logistics to complete this study.

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Copyright information

© Saudi Society for Geosciences 2018

Authors and Affiliations

  1. 1.Department of Computer Science & EngineeringSMIT, Sikkim Manipal UniversityRangpoIndia
  2. 2.Department of Computer ApplicationsSikkim UniversityGangtokIndia
  3. 3.Department of Computer ApplicationsSMIT, Sikkim Manipal UniversityRangpoIndia

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