Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping
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ORIGINAL PAPER
Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran Hamid Reza Pourghasemi & Biswajeet Pradhan & Candan Gokceoglu & Majid Mohammadi & Hamid Reza Moradi
Received: 4 September 2011 / Accepted: 8 February 2012 / Published online: 9 March 2012 # Saudi Society for Geosciences 2012
Abstract 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 H. R. Pourghasemi : M. Mohammadi : H. R. Moradi Department of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat Modares University International Campus, Noor, Iran e-mail: [email protected] B. Pradhan (*) Institute of Advanced Technology, Spatial and Numerical Modelling Laboratory, University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia e-mail: [email protected] B. Pradhan e-mail: [email protected] C. Gokceoglu Applied Geology Division, Department of Geological Engineering, Engineering Faculty, Hacettepe University, Ankara, Turkey
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. Keywords Landslide susceptibility . Weights of evidence . Certainty factor model . GIS . Remote sensing . Iran
Introduction Landslides are one of the most catastrophic natural hazards occurring in many areas of the world. Globally, they cause hundreds of billions of dollars in damage and hundreds of thousands of deaths and injuries each year (Aleotti and Chowdhury 1999). Over the past 25 years, many governments and research institutions throughout the world have invested considerable resources in assessing landslide hazards and in attempting to produce maps portraying their spatial distribution (Guzzetti et al. 1999). In spite of improvements in recognition, mitigative measures, and prediction and warning systems,
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