img
img
Production of Highway Landslide Susceptibility Map with Machine Learning Techniques: A Local Study from Türkiye, Artvin-Ardanuç Road Line   
Yazarlar (4)
Selim Taşkaya
Artvin Çoruh Üniversitesi, Türkiye
Oktay Aksu
Türkiye
Öğr. Gör. Samet DOĞAN Öğr. Gör. Samet DOĞAN
Türkiye
Mustafa Kurt
İstanbul Okan Üniversitesi, Türkiye
Devamını Göster
Özet
Landslide (landslide) is a natural event that occurs when the upper layer of the soil slips away when certain parameters are met. This natural event occurs in many places in the world. In Turkey, landslides are observed especially in the Eastern Black Sea Region. Therefore, a landslide susceptibility map was tried to be produced in order to investigate the question of how sensitive a piece of land can be to landslides as a region. In particular, it was tried to investigate how important a landslide susceptibility map can be in determining a highway line. In our study, the taxonomy of the 35 km road line between the Ardanuç District of Artvin Province, 65.36 km2 soil region area was determined by considering 11 elements such as altitude, aspect, soil moisture index, precipitation, curvature, curvature angle, land cover, lithology, distance to drainage networks, distance to fault lines, and slope. The landslide susceptibility maps produced were divided into five susceptibility classes as very high, high, medium, low and very low. The predictive skills of the susceptibility models were examined by supervised algorithms of machine learning such as linear regression, logistic regression, support vector machine, decision tree and random forest and XG Boost (extreme gradient boosting) which would be the most suitable model.
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü SCOPUS dergilerinde yayınlanan tam makale
Dergi Adı International Journal of Computational and Experimental Science and Engineering
Dergi ISSN 2149-9144 Scopus Dergi
Dergi Tarandığı Indeksler Scopus
Makale Dili İngilizce
Basım Tarihi 05-2025
Cilt No 11
Sayı 2
Sayfalar 3255 / 3270
Doi Numarası 10.22399/ijcesen.1792
Makale Linki https://www.ijcesen.com/index.php/ijcesen/article/view/1792