Publication:
Landslide Susceptibility Mapping by Frequency Ratio and Logistic Regression Methods: An Example from Niksar–Resadiye (Tokat, Turkey)

dc.authorscopusid57189090432
dc.authorscopusid6602387313
dc.authorscopusid15845211600
dc.contributor.authorDemir, G.
dc.contributor.authorAytekin, M.
dc.contributor.authorAkgun, A.
dc.date.accessioned2020-06-21T13:47:43Z
dc.date.available2020-06-21T13:47:43Z
dc.date.issued2015
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Demir] Go¨khan, Department of Civil Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Aytekin] Mustafa, Department of Civil Engineering and Architecture, University of Bahrain, Zallaq, Bahrain; [Akgun] Aykut, Department of Geological Engineering, Karadeniz Technical University, Trabzon, Trabzon, Turkeyen_US
dc.description.abstractTurkey confronts loss of life and large economic losses due to natural disasters caused by its morphologic structure, geographical placement, and climate characteristics. The Kuzulu (Koyulhisar) landslide, which caused loss of life and property on 17th March 2005, occurred in an area near the country’s most important active fault, the North Anatolian Fault Zone. To mitigate and prevent landslide damages, prediction of landslide susceptibility areas based on probabilistic methods has a great importance. The purpose of this study was to produce a landslide susceptibility map by the logistic regression and frequency ratio methodologies for a 733-km2 area near the North Anatolian Fault Zone from the southeast of Niksar to Resadiye in Tokat province. Conditioning parameters, such as elevation, slope gradient, slope aspect, distance to streams, roads, and faults, drainage density, and fault density, were used in the analysis. Before susceptibility analysis, the landslides observed in the area were separated into two groups for use in analysis and verification, respectively. The susceptibility maps produced had five different susceptibility classes such as very low, low, moderate, high, and very high. To test the performance of the susceptibility maps, area under curve (AUC) approach was used. For the logistic regression method, the AUC value was 0.708; while for the frequency rate method, this value was 0.744. According to these AUC values, it could be concluded that the two landslide susceptibility maps obtained were successful. © 2014, Saudi Society for Geosciences.en_US
dc.identifier.doi10.1007/s12517-014-1332-z
dc.identifier.endpage1812en_US
dc.identifier.issn1866-7511
dc.identifier.issn1866-7538
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84894570463
dc.identifier.startpage1801en_US
dc.identifier.urihttps://doi.org/10.1007/s12517-014-1332-z
dc.identifier.volume8en_US
dc.identifier.wosWOS:000351083700043
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofArabian Journal of Geosciencesen_US
dc.relation.journalArabian Journal of Geosciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFrequency Ratioen_US
dc.subjectLandslide Susceptibilityen_US
dc.subjectLogistic Regressionen_US
dc.subjectNorth Anatolian Faulten_US
dc.titleLandslide Susceptibility Mapping by Frequency Ratio and Logistic Regression Methods: An Example from Niksar–Resadiye (Tokat, Turkey)en_US
dc.typeArticleen_US
dspace.entity.typePublication

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