scholarly journals Landslide Hazard Zonation along the MH SH-73 at Kelghar Ghat, Satara, Maharashtra

2021 ◽  
Vol 8 (9) ◽  
pp. 540-547
Author(s):  
Subhash Vishnu Karande

Road transportation is the most common victim of landslide in the world. The present study investigates the landslide hazard zonation along the MH SH-73 at Kelghar ghat between Medha and Mahabaleshwar hill station of Maharashtra. Remote Sensing and GIS were used for the landslide hazard zonation of this section. The ghat section was buffered 100 m on both side to define the extent of study area based on the field investigation. The study incorporated predefined important landslide causative factors, viz. slope, rainfall, relief, lithology, soil depth, soil erosion, soil texture, land use / land cover, drainage distance, drainage density, lineament distance, lineament density, aspect, temperature, landslide inventory and in this approach fifteen thematic layers were prepared in GIS platform. The weight and score were assigned to each thematic layer based on heuristic approach on their relative importance in causing landslide. Multi-criteria model in ArcGIS 10.5 software were used for the mapping landslide hazard zones and it were classified into six zones: very high (1.3 %), high (1.7 %), moderate (3.4 %), low (7.6 %) very low (8.4 %) and no risk zone (77.7 %). The final result of this research can help for proper mitigation and adaptation measures for engineers, planners and administrators for this ghat section. Keywords: GIS, Landslide Hazard Zonation, Remote Sensing, Susceptibility, Sahyadri, Kelghar.

Author(s):  
M. K. Tripathi ◽  
H. Govil ◽  
P. K. Champati ray ◽  
I. C. Das

<p><strong>Abstract.</strong> Landslides are very common problem in hilly terrain. Chamoli region of Himalaya is highest sensitive zone of the landslide hazards. The purpose of Chamoli landslide study, to observe the important terrain factors and parameters responsible for landslide initiation. Lithological, geomorphological, slope, aspect, landslide, drainage density and lineament density map generated in remote sensing and GIS environment. Data information of related geological terrain obtain through topographic maps, remote sensing images, field visits and geological maps. Geodatabases of all thematic layers prepared through digitization of topographic map and satellite imageries (LISS-III, LISS-IV &amp;amp; ASTER DEM). Integrated all thematic layers applying information value method under GIS environment to map the zonation of landslide hazard zonation map validation and verification completed by field visit. The landslide hazard zonation map classified in four classes very high, high, medium and low.</p>


2003 ◽  
Vol 28 ◽  
Author(s):  
Varun Joshi ◽  
T. V. R. Murthy ◽  
A. S. Arya ◽  
A. Narayana ◽  
A. K. Naithani ◽  
...  

The landslide hazard zonation of Dharasu-Tehri -Ghansali area of Garhwal Himalaya has been carried out using Indian Remote Sensing (IRS) LISS II and SPOT (MLA) data for various geo-environmental parameters viz. lithology, structure, land use/land cover, slope and drainage. The forest types and density and other land uses in the reservoir rim area were delineated and also assessed the direct loss of forests, agricultural land, wastelands and other landuse in the submergence area of the Tehri dam. There are 71 landslides in the periphery of the Bhagirathi and the Bhilangana rivers, which will enclose the impounded reservoir. Out of 71 landslides 35 will get submerged during the reservoir-filling phase while remaining will continue to exist. By overlaying the thematic maps in Geographical Information System (GIS) environment and using statistical parameters, a landslide hazard zonation map has been prepared. Phyllite, dissected hills, slope 50°-60°, agriculture and convex side of stream channel were to be found more susceptible for landslide. An area of 43.5 km2 in the reservoir rim falls in the category of high to very high class as per the landslide hazard zone code.


Sign in / Sign up

Export Citation Format

Share Document