COMPARISON of FUZZY-BASED MODELS in LANDSLIDE HAZARD MAPPING

Landslide is one of the main geomorphic processes which effects on the development of prospect in mountainous areas and causes disastrous accidents. Landslide is an event which has different uncertain criteria such as altitude, slope, aspect, land use, vegetation density, precipitation, distance fro...

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Main Authors: N. Mijani, N. Neysani Samani
Format: Article
Language:English
Published: Copernicus Publications 2017-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W4/407/2017/isprs-archives-XLII-4-W4-407-2017.pdf
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author N. Mijani
N. Neysani Samani
author_facet N. Mijani
N. Neysani Samani
author_sort N. Mijani
collection DOAJ
description Landslide is one of the main geomorphic processes which effects on the development of prospect in mountainous areas and causes disastrous accidents. Landslide is an event which has different uncertain criteria such as altitude, slope, aspect, land use, vegetation density, precipitation, distance from the river and distance from the road network. This research aims to compare and evaluate different fuzzy-based models including Fuzzy Analytic Hierarchy Process (Fuzzy-AHP), Fuzzy Gamma and Fuzzy-OR. The main contribution of this paper reveals to the comprehensive criteria causing landslide hazard considering their uncertainties and comparison of different fuzzy-based models. The quantify of evaluation process are calculated by Density Ratio (DR) and Quality Sum (QS). The proposed methodology implemented in Sari, one of the city of Iran which has faced multiple landslide accidents in recent years due to the particular environmental conditions. The achieved results of accuracy assessment based on the quantifier strated that Fuzzy-AHP model has higher accuracy compared to other two models in landslide hazard zonation. Accuracy of zoning obtained from Fuzzy-AHP model is respectively 0.92 and 0.45 based on method Precision (P) and QS indicators. Based on obtained landslide hazard maps, Fuzzy-AHP, Fuzzy Gamma and Fuzzy-OR respectively cover 13, 26 and 35 percent of the study area with a very high risk level. Based on these findings, fuzzy-AHP model has been selected as the most appropriate method of zoning landslide in the city of Sari and the Fuzzy-gamma method with a minor difference is in the second order.
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spelling doaj.art-e5121d460e284866ac54984473d408d42022-12-21T18:49:47ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-09-01XLII-4-W440741610.5194/isprs-archives-XLII-4-W4-407-2017COMPARISON of FUZZY-BASED MODELS in LANDSLIDE HAZARD MAPPINGN. Mijani0N. Neysani Samani1Remote Sensing and GIS, Department of Remote Sensing and GIS, University of Tehran, Tehran, IranRemote Sensing and GIS, Department of Remote Sensing and GIS, University of Tehran, Tehran, IranLandslide is one of the main geomorphic processes which effects on the development of prospect in mountainous areas and causes disastrous accidents. Landslide is an event which has different uncertain criteria such as altitude, slope, aspect, land use, vegetation density, precipitation, distance from the river and distance from the road network. This research aims to compare and evaluate different fuzzy-based models including Fuzzy Analytic Hierarchy Process (Fuzzy-AHP), Fuzzy Gamma and Fuzzy-OR. The main contribution of this paper reveals to the comprehensive criteria causing landslide hazard considering their uncertainties and comparison of different fuzzy-based models. The quantify of evaluation process are calculated by Density Ratio (DR) and Quality Sum (QS). The proposed methodology implemented in Sari, one of the city of Iran which has faced multiple landslide accidents in recent years due to the particular environmental conditions. The achieved results of accuracy assessment based on the quantifier strated that Fuzzy-AHP model has higher accuracy compared to other two models in landslide hazard zonation. Accuracy of zoning obtained from Fuzzy-AHP model is respectively 0.92 and 0.45 based on method Precision (P) and QS indicators. Based on obtained landslide hazard maps, Fuzzy-AHP, Fuzzy Gamma and Fuzzy-OR respectively cover 13, 26 and 35 percent of the study area with a very high risk level. Based on these findings, fuzzy-AHP model has been selected as the most appropriate method of zoning landslide in the city of Sari and the Fuzzy-gamma method with a minor difference is in the second order.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W4/407/2017/isprs-archives-XLII-4-W4-407-2017.pdf
spellingShingle N. Mijani
N. Neysani Samani
COMPARISON of FUZZY-BASED MODELS in LANDSLIDE HAZARD MAPPING
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title COMPARISON of FUZZY-BASED MODELS in LANDSLIDE HAZARD MAPPING
title_full COMPARISON of FUZZY-BASED MODELS in LANDSLIDE HAZARD MAPPING
title_fullStr COMPARISON of FUZZY-BASED MODELS in LANDSLIDE HAZARD MAPPING
title_full_unstemmed COMPARISON of FUZZY-BASED MODELS in LANDSLIDE HAZARD MAPPING
title_short COMPARISON of FUZZY-BASED MODELS in LANDSLIDE HAZARD MAPPING
title_sort comparison of fuzzy based models in landslide hazard mapping
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W4/407/2017/isprs-archives-XLII-4-W4-407-2017.pdf
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