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Soft computing and GIS for landslide susceptibility assessment in Tawaghat area, Kumaon Himalaya, India

DSpace at IIT Bombay

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Title Soft computing and GIS for landslide susceptibility assessment in Tawaghat area, Kumaon Himalaya, India
 
Creator RAMAKRISHNAN, D
SINGH, TN
VERMA, AK
GULATI, A
TIWARI, KC
 
Subject Kumaon Himalaya
Landslide susceptibility
GIS
BPNN
ARTIFICIAL NEURAL-NETWORK
STATISTICAL-MODELS
CLASSIFICATION
ZONATION
VERIFICATION
 
Description This paper mainly presents a case study of landslide vulnerability zonation along Tawaghat-Mangti route corridor in Kumaon Himalaya, India. An attempt is made to predict landslide susceptibility using back-propagation neural network (BPNN) and propose a suitable model for that zone, which can be successfully implemented for the prevention of slides. Various landslide affecting parameters such as lithology, slope, aspect, structure, geotechnical properties, land use, landslide inventory, and distance from recorded epicenter are used to model the landslide susceptibility. The database on the above parameters derived from satellite imageries, topographic maps, and field work are integrated in the GIS to generate an information layer. Database of this information layer is used to train, test, and validate the BPNN model. A three-layered BPNN with an input layer, two hidden layers, and one output layer is found to be optimal. The developed model demonstrates a promising result, and the prediction accuracy has been found to be 80 % in the field.
 
Publisher SPRINGER
 
Date 2014-10-15T12:13:06Z
2014-10-15T12:13:06Z
2013
 
Type Article
 
Identifier NATURAL HAZARDS, 65(1)315-330
http://dx.doi.org/10.1007/s11069-012-0365-4
http://dspace.library.iitb.ac.in/jspui/handle/100/14875
 
Language en