• Landslide susceptibility mapping using bivariate statistical method for the hilly township of Mussoorie and its surrounding areas, Uttarakhand Himalaya

• # Fulltext

https://www.ias.ac.in/article/fulltext/jess/129/0167

• # Keywords

Landslide; susceptibility; Yule coefficient; Mussoorie; Garhwal Himalaya; India.

• # Abstract

Landslide is a normal geomorphic process that becomes hazardous when interfering with any development activity. It has been noted that ${\sim}$400 causalities occur in the Himalayan region every year due to this phenomenon. The frequency and magnitude of the landslides increase every year, particularly in the hilly townships. This demands the large scale landslide susceptibility, hazard, risk, and vulnerability assessment of the region to be carried out. In the present study, Mussoorie Township and its surrounding areas located in the Lesser Himalaya has been chosen for Landslide Susceptibility Mapping (LSM) that involved bivariate statistical Yule coefficient (YC) method. It calculates the binary association between landslides and its various possible causative factors like lithology, land use-landcover (LULC), slope, aspect, curvature, elevation, road-cut, drainage, and lineament. The results indicate that ${\sim}$44% of the study area falls under very high, high and moderate landslide susceptible zones and ${\sim}$56% in the low and very low landslide susceptible zones. The dominant part of the area falling under high and moderate landslide susceptible zones lies in the area covered by highly fractured Krol limestone exhibiting slope ranging between 65$^{\circ}$ and 77$^{\circ}$. The study would be useful to the planners for the land-use planning of the area.

• # Author Affiliations

2. National Institute of Technology Raipur, Raipur, Chhattisgarh 492 010, India.

• # Journal of Earth System Science

Volume 130, 2021
All articles
Continuous Article Publishing mode

• # Editorial Note on Continuous Article Publication

Posted on July 25, 2019