A Comparative Study of the Frequency Ratio, Analytical Hierarchy Process, Artificial Neural Networks and Fuzzy Logic Methods for Landslide Susceptibility Mapping: Taskent (Konya), Turkey

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dc.contributor.authorOzdemir, Adnan
dc.date.accessioned2024-02-23T13:56:09Z
dc.date.available2024-02-23T13:56:09Z
dc.date.issued2020
dc.departmentNEÜen_US
dc.description.abstractIn this study, the four landslide susceptibility (LS) mapping methods, frequency ratio (FR), analytic hierarchy process (AHP), artificial neural networks (ANN) and fuzzy logic (FL) method, are compared. The study has been conducted in Taskent (Konya, Turkey) Basin which is located between 36.88 N to 36.95 N latitudes and 32.35 E to 32.53 E longitudes. The survey area is approximately 80 km(2). The FR, AHP, ANN and FL methods are used to map LS. Thematic layers of fourteen landslide conditioning factors including landslide inventory, elevation, slope, slope aspect, plan, and profile curvature, sediment loading factor, stream power, and wetness index, drainage, and fault density, distance to drainage, and fault, geological units, and land use-land cover are used for preparing the LS maps. Estimation power of models has been evaluated by the relative operating characteristic curve method. The areas under the curve for FR, AHP, ANN and FL method have been computed as 0.926, 0.899, 0.916 and 0.842, respectively. These results showed that FR method is relatively good, whereas FL method is a relatively poor estimator for susceptibility. The validity of the LS maps was evaluated by test landslides. The 58 test landslides (76 pixels), 43 training landslides (200 pixels), and 101 total landslides (276 pixels) have been put onto the LS maps prepared by the various methods. The percentages of the existing landslide pixels within the different landslide occurrence potential classes were determined. It is determined that a significant portion of all landslides (76% in the ANN, 83% in the FR, 87% in the AHP and 89% in the FL method) belong to the high and very high LS class. The produced four susceptibility maps were also compared using cross-correlation methods. The cross-correlation coefficients were found to be 0.82, 0.70, 0.63, 0.54, 0.48, and 0.45 for AHP versus FR, FR versus FL, AHP versus FL, AHP versus ANN, FR versus ANN, and FL versus ANN maps, respectively. Here, the confidence level is 0.95. The FR and AHP methods have been assessed to be more suitable methods among other used methods.en_US
dc.identifier.doi10.1007/s10706-020-01284-8
dc.identifier.endpage4157en_US
dc.identifier.issn0960-3182
dc.identifier.issn1573-1529
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85082876963en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage4129en_US
dc.identifier.urihttps://doi.org/10.1007/s10706-020-01284-8
dc.identifier.urihttps://hdl.handle.net/20.500.12452/11094
dc.identifier.volume38en_US
dc.identifier.wosWOS:000546731100055en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofGeotechnical And Geological Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLandslide Susceptibilityen_US
dc.subjectFrequency Ratioen_US
dc.subjectAnalytical Hierarchyen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectFuzzy Logicen_US
dc.titleA Comparative Study of the Frequency Ratio, Analytical Hierarchy Process, Artificial Neural Networks and Fuzzy Logic Methods for Landslide Susceptibility Mapping: Taskent (Konya), Turkeyen_US
dc.typeArticleen_US

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