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dc.contributor.advisorErcanoğlu, Murat
dc.contributor.authorDerin Cengiz,Leyla
dc.date.accessioned2021-10-13T07:36:06Z
dc.date.issued2020
dc.date.submitted2020-12-25
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dc.identifier.urihttp://hdl.handle.net/11655/25505
dc.description.abstractAs with all natural disasters, studies on landslides are important steps to be prepared for landslides and increasing resilience to landslides. Different methods, such as Analytical Hierarchy Process (AHP), frequency ratio and logistic regression etc., are used in landslide susceptibility analysis, which is an important stage of landslide studies. In this study, a new, more objective and data-driven approach has been conducted by integrating fuzzy relations to AHP method in preparing landslide susceptibility mapping studies. At the first stage, the landslide inventory map of the study area, covering approximately 300 km2 within the borders of Seydikemer district of Muğla province, was updated and the current data were transferred into Geographical Information System (GIS) environment for the analyses. Totally 10 parameters maps, such as topographic elevation, slope, curvature, aspect, sediment transport capacity index, stream power index, topographical wetness index , distance to fault, distance to drainage and distance to ridges, have been prepared for the construction of the database. F-AHP (Fuzzy AHP) methods such as Fuzzy Extended Analysis Method (FEA) and Fuzzy Geometric Mean Method (FGM), are the combination of AHP and fuzzy logic methods and have been successfully used in preparing landslide susceptibility maps. Apart from these methods, in this study, the fuzzy relations were combined with AHP to prepare a data-driven model and its applicability has been investigated. Instead of using expert opinion, data-driven binary comparison values determined by fuzzy relationships were also used in preparing landslide susceptibility maps with FGM and FEA methods in order to make reliable comparisons. Additionally, a landslide susceptibility map was also prepared according to the Modified Analytical Hierarchy Process (M-AHP) method, in which the expert determined the parameter priorities at the beginning of the modeling. According to the performance evaluation of the four landslide susceptibility maps prepared, AUC values were calculated as 0.747 for FEA, 0.739 for FR-AHP, 0.738 for FGM and 0.727 for M-AHP, respectively. There are some limitations in evaluating the effects of some parameters used in landslide susceptibility analyses according to expert opinion. In the light of these data obtained, the FR-AHP method has been evaluated as a data-driven and more objective method that can be used in the preparation of landslide susceptibility maps with its applicability and high performance value.tr_TR
dc.language.isoturtr_TR
dc.publisherFen Bilimleri Enstitüsütr_TR
dc.rightsinfo:eu-repo/semantics/restrictedAccesstr_TR
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectHeyelan duyarlılığıtr_TR
dc.subjectAnalitik Hiyerarşi Süreci (AHP)tr_TR
dc.subjectBulanık mantıktr_TR
dc.subjectBulanık ilişkilertr_TR
dc.subjectHibrit AHPtr_TR
dc.subject.lcshJeoloji mühendisliğitr_TR
dc.titleFarklı Analitik Hiyerarşi Süreci Yöntemlerinin Heyelan Duyarlılığı Haritalamalarındaki Etkinliğinin Araştırılmasıtr_TR
dc.title.alternativeInvestıgatıon Of Effectıveness Of Dıfferent Analytıcal Hıerarchy Process Methods In Landslıde Susceptıbılıty Mappıng
dc.typeinfo:eu-repo/semantics/doctoralThesistr_TR
dc.description.ozetDiğer tüm doğa kaynaklı afetlerde olduğu gibi, heyelanlarla ilgili yapılan çalışmalar, heyelanlara hazırlıklı olunmasında ve heyelanlara karşı dirençliliğin arttırılmasında önemli adımlardır. Heyelan çalışmalarının önemli bir aşaması olan heyelan duyarlılık analizlerinde Analitik Hiyerarşi Süreci (AHP), frekans oranı ve lojistik regresyon vb. gibi farklı yöntemler kullanılmaktadır. Bu tez çalışmasında, heyelan duyarlılık haritalarının oluşturulmasında veriye dayalı daha nesnel yeni bir yaklaşım olarak, bulanık ilişkilerin AHP yöntemine entegre edilmesi ve uygulanmasına yönelik araştırmalar yapılmıştır. İlk olarak, analizler için Muğla iline bağlı Seydikemer ilçesi sınırları içerisinde kalan yaklaşık 300 km2’lik çalışma alanının heyelan envanter haritası güncellenmiş, güncel veriler Coğrafi Bilgi Sistemi (CBS) ortamına aktarılmıştır. Topoğrafik yükseklik, yamaç eğriselliği, yamaç eğimi, bakı, sediman taşıma kapasitesi, akış gücü indeksi, nemlilik indeksi, faya uzaklık, drenaja uzaklık ve sırtlara uzaklık olmak üzere 10 parametreye ait parametre haritaları da oluşturularak veri tabanı hazırlanmıştır. Heyelan duyarlılık haritalarının oluşturulmasında kullanılan, AHP ve bulanık mantık yöntemlerinin kombinasyonu olan F-AHP (Bulanık AHP) yöntemlerinden (Bulanık Genişletilmiş Analiz Yöntemi (FEA) ve Bulanık Geometrik Ortalama Yöntemi (FGM) farklı olarak, bu çalışmada veriye dayalı bir model oluşturmak amacıyla bulanık ilişkilerin AHP ile birlikte uygulanabilirliği araştırılmıştır. Bu amaç doğrultusunda, bulanık ilişkilerle entegre AHP yöntemine (FR-AHP) göre heyelan duyarlılığı analizleri gerçekleştirilmiştir. Uzman görüşü yerine, veriye dayalı bulanık ilişkiler ile belirlenen ikili karşılaştırma değerleri, doğru kıyas yapılması açısından FGM ve FEA yöntemleri ile heyelan duyarlılık haritası oluşturulmasında da kullanılmıştır. Ayrıca, uzmanın modellemenin başlangıç aşamasında parametre önceliklerini belirlediği Modifiye Analitik Hiyerarşi Süreci (M-AHP) yöntemine göre de heyelan duyarlılık haritası oluşturulmuştur. Oluşturulan dört heyelan duyarlılık haritasının performans değerlendirme hesaplamalarına göre, AUC değerleri FEA yöntemi için 0.747, FR-AHP yöntemi için 0.739, FGM yöntemi için 0.738 ve M-AHP yöntemi için 0.727 olarak belirlenmiştir. Elde edilen bu veriler ışığında, heyelan duyarlılık analizlerinde kullanılan bazı parametrelerin etkilerinin uzman görüşüne göre değerlendirilmesindeki kısıtlar da düşünüldüğünde FR-AHP yöntemi, uygulanabilirliği ve yüksek performans değeri ile heyelan duyarlılık haritalarının oluşturulmasında kullanılabilecek, veriye dayalı daha nesnel bir yöntem olarak değerlendirilmiştir.tr_TR
dc.contributor.departmentJeoloji Mühendisliğitr_TR
dc.embargo.termsAcik erisim
dc.embargo.lift2023-10-15T07:36:06Z
dc.fundingYoktr_TR
dc.subtypeworkingPapertr_TR


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