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GIS-Based Frequency Ratio Method for Identification of Potential Landslide Susceptible Area in the Siwalik Zone of Chatara-Barahakshetra Section, Nepal
- Source :
- Open Journal of Geology. :873-896
- Publication Year :
- 2019
- Publisher :
- Scientific Research Publishing, Inc., 2019.
-
Abstract
- The hilly regions of Nepal are potential for land sliding in rainy season. Lying between two major thrusts: Main Frontal Thrust (MFT) and Main Boundary Thrust (MBT), the rocks of Siwalik zone are very weak and fragile. Shallow and deep landslides are very common in the Siwalik zone during heavy and continuous rainfall. The landslide in the busy road and agglomerate settlements are destroying the life and properties every year in rainy season. This study aims to develop a landslide susceptibility map of Chatara-Barahakshetra area, Siwalik zones of eastern Nepal by the means of frequency ratio model. The paper utilized the remote sensing and GIS to develop a landslide susceptibility map. Total of 382 landslide polygons were mapped from Google earth and by field verification. The validation results showed that the success rate curve with 72.55 percentage of the area lying under the curve and the prediction rate curve with 71.73 percentage of the area lying under the curve indicating that prediction ability of the Frequency Ratio model. These landslide susceptibility maps can be used as a planning tool by prioritizing areas for controlling the landslide effects. More than 71% success rate indicate that frequency ratio model is suitable model for the landslide susceptibility in the study area.
- Subjects :
- Wet season
010504 meteorology & atmospheric sciences
Geography, Planning and Development
Frequency ratio
Landslide
Prediction rate
Rate curve
Landslide susceptibility
010502 geochemistry & geophysics
01 natural sciences
Section (archaeology)
General Earth and Planetary Sciences
Geomorphology
Geology
0105 earth and related environmental sciences
Water Science and Technology
Subjects
Details
- ISSN :
- 21617589 and 21617570
- Database :
- OpenAIRE
- Journal :
- Open Journal of Geology
- Accession number :
- edsair.doi...........e19736bb3086b8929111d2fafa49edb0