Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran.

The main goal of this study was to investigate the application of the weights-of-evidence and certainty factor approaches for producing landslide susceptibility maps of a landslide-prone area (Haraz) in Iran. For this purpose, the input layers of the landslide conditioning factors were prepared in t...

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Main Authors: Pradhan, Biswajeet, Pourghasemi, Hamid Reza, Gokceoglu, Candan, Mohammadi, Majid, Moradi, Hamid Reza
Format: Article
Language:English
English
Published: 2013
Online Access:http://psasir.upm.edu.my/id/eprint/28602/1/Application%20of%20weights.pdf
http://psasir.upm.edu.my/id/eprint/28602/
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Institution: Universiti Putra Malaysia
Language: English
English
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spelling my.upm.eprints.286022015-10-28T03:48:41Z http://psasir.upm.edu.my/id/eprint/28602/ Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran. Pradhan, Biswajeet Pourghasemi, Hamid Reza Gokceoglu, Candan Mohammadi, Majid Moradi, Hamid Reza The main goal of this study was to investigate the application of the weights-of-evidence and certainty factor approaches for producing landslide susceptibility maps of a landslide-prone area (Haraz) in Iran. For this purpose, the input layers of the landslide conditioning factors were prepared in the first stage. The landslide conditioning factors considered for the study area were slope gradient, slope aspect, altitude, lithology, land use, distance from streams, distance from roads, distance from faults, topographic wetness index, stream power index, stream transport index and plan curvature. For validation of the produced landslide susceptibility maps, the results of the analyses were compared with the field-verified landslide locations. Additionally, the receiver operating characteristic curves for all the landslide susceptibility models were constructed and the areas under the curves were calculated. The landslide locations were used to validate results of the landslide susceptibility maps. The verification results showed that the weights-of-evidence model (79.87%) performed better than certainty factor (72.02%) model with a standard error of 0.0663 and 0.0756, respectively. According to the results of the area under curve evaluation, the map produced by weights-of-evidence exhibits satisfactory properties. 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28602/1/Application%20of%20weights.pdf Pradhan, Biswajeet and Pourghasemi, Hamid Reza and Gokceoglu, Candan and Mohammadi, Majid and Moradi, Hamid Reza (2013) Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran. Arabian Journal of Geosciences, 6 (7). pp. 2351-2365. ISSN 1866-7511 10.1007/s12517-012-0532-7 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description The main goal of this study was to investigate the application of the weights-of-evidence and certainty factor approaches for producing landslide susceptibility maps of a landslide-prone area (Haraz) in Iran. For this purpose, the input layers of the landslide conditioning factors were prepared in the first stage. The landslide conditioning factors considered for the study area were slope gradient, slope aspect, altitude, lithology, land use, distance from streams, distance from roads, distance from faults, topographic wetness index, stream power index, stream transport index and plan curvature. For validation of the produced landslide susceptibility maps, the results of the analyses were compared with the field-verified landslide locations. Additionally, the receiver operating characteristic curves for all the landslide susceptibility models were constructed and the areas under the curves were calculated. The landslide locations were used to validate results of the landslide susceptibility maps. The verification results showed that the weights-of-evidence model (79.87%) performed better than certainty factor (72.02%) model with a standard error of 0.0663 and 0.0756, respectively. According to the results of the area under curve evaluation, the map produced by weights-of-evidence exhibits satisfactory properties.
format Article
author Pradhan, Biswajeet
Pourghasemi, Hamid Reza
Gokceoglu, Candan
Mohammadi, Majid
Moradi, Hamid Reza
spellingShingle Pradhan, Biswajeet
Pourghasemi, Hamid Reza
Gokceoglu, Candan
Mohammadi, Majid
Moradi, Hamid Reza
Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran.
author_facet Pradhan, Biswajeet
Pourghasemi, Hamid Reza
Gokceoglu, Candan
Mohammadi, Majid
Moradi, Hamid Reza
author_sort Pradhan, Biswajeet
title Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran.
title_short Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran.
title_full Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran.
title_fullStr Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran.
title_full_unstemmed Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran.
title_sort application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at haraz watershed, iran.
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/28602/1/Application%20of%20weights.pdf
http://psasir.upm.edu.my/id/eprint/28602/
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