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

Basit Öğe Kaydı
dc.contributor.authorEker, Remzi
dc.contributor.authorAydın, Abdurrahim
dc.date.accessioned2020-04-30T22:39:44Z
dc.date.available2020-04-30T22:39:44Z
dc.date.issued2014
dc.departmentDÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.descriptionWOS: 000329965800014en_US
dc.description.abstractForest roads are one of the biggest investments in forest management. Their possible adverse effect 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 different purposes such as reducing the effects of landslides, decision making, and planning. These 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 fieldwork-generated inventory of 288 landslides was used to produce a landslide-susceptibility map for the Yigilca Forest Directorate (Turkey). This 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. After 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. The 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.doi10.3906/tar-1303-12en_US
dc.identifier.endpage290en_US
dc.identifier.issn1300-011X
dc.identifier.issn1303-6173
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage281en_US
dc.identifier.urihttps://doi.org/10.3906/tar-1303-12
dc.identifier.urihttps://hdl.handle.net/20.500.12684/2813
dc.identifier.volume38en_US
dc.identifier.wosWOS:000329965800014en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTubitak Scientific & Technical Research Council Turkeyen_US
dc.relation.ispartofTurkish Journal Of Agriculture And Forestryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectForest road networksen_US
dc.subjectlandslide frequencyen_US
dc.subjectlandslide susceptibilityen_US
dc.subjectlogistic regressionen_US
dc.subjectroad-landslide indexen_US
dc.subjectYigilcaen_US
dc.titleAssessment of forest road conditions in terms of landslide susceptibility: a case study in Yigilca Forest Directorate (Turkey)en_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
2813.pdf
Boyut:
2.25 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu