Assessment of forest road conditions in terms of landslide susceptibility: a case study in Yığılca Forest Directorate (Turkey)

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dc.contributor.authorEker, Remzi
dc.contributor.authorAydın, Abdurrahim
dc.date.accessioned2020-04-30T14:39:12Z
dc.date.available2020-04-30T14:39:12Z
dc.date.issued2014
dc.departmentDÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.description.abstractForest roads are one of the biggest investments in forest management. Teir possible adverse efect on the environment is becoming an important issue for administrators due to a recent increase in public awareness. Especially in the Black Sea Region of Turkey, road-related landslides are common in forested areas because the roads are located in hilly regions with steep slopes. In addition to their impact on forests, landslides can cause damage to roadbeds which requires immediate maintenance. Landslide-susceptibility maps are widely used for diferent purposes such as reducing the efects of landslides, decision making, and planning. Tese maps can easily be generated by utilizing the advanced features of Geographical Information Systems (GIS) and computer technologies. Logistic regression (LR) is a widely used technique for mapping landslide susceptibility; landslide conditioning parameters such as topography, lithology, land use, distance to streams and roads, and curvature can be mapped by GIS tools. In this study a feldwork- generated inventory of 288 landslides was used to produce a landslide-susceptibility map for the Yığılca Forest Directorate (Turkey). Tis map was generated by applying a GIS-based LR method. Land use, lithology, elevation, slope, aspect, distance to streams, distance to roads, and plan curvature were considered as the landslide conditioning parameters. Afer the landslide-susceptibility map was divided into 5 classes of susceptibility (very low, low, moderate, high, and very high), it was overlapped with a road network map in order to evaluate forest road conditions in terms of landslide susceptibility. For a quantitative analysis of forest road-landslide interaction, 2 new parameters were determined: a landslide frequency index (divided into general and real) and a road-landslide index (divided into general and real). Real landslide frequency and general landslide frequency on the roads were found to be 0.42 and 0.18, respectively. Te results showed that the real road-landslide index and the general road-landslide index in the area were 0.10 and 0.04, respectively.en_US
dc.identifier.endpage290en_US
dc.identifier.issn1300-011X
dc.identifier.issn1303-6173
dc.identifier.issue2en_US
dc.identifier.startpage281en_US
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TVRZME5EWXlNZz09
dc.identifier.urihttps://hdl.handle.net/20.500.12684/1324
dc.identifier.volume38en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectOrman Mühendisliğien_US
dc.titleAssessment of forest road conditions in terms of landslide susceptibility: a case study in Yığılca Forest Directorate (Turkey)en_US
dc.typeArticleen_US

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