Landslide susceptibility assessment of Turkey using qualitative and semi-quantitative methods

Okalp, Kivanç
Landslides have been studied by using several methods like inventory, heuristic, statistic, and deterministic methods in the recent years; these studies have also been integrated into geographic information systems with the help of technological developments. However, there has not been any nationwide landslide susceptibility zoning map produced for entire Turkey. In this study, assessing the landslide susceptibility of Turkey at a national scale using publicly available datasets was aimed. Two different scaled (1:2,000,000 and 1:500,000) and also two different pixel sized (500 m and 90 m) landslide susceptibility maps have been obtained for entire Turkey using qualitative and semi-quantitative techniques. The larger scaled approach that is composed of different landslide susceptibility maps of the watersheds has been selected after modeling 8-factor and 10- factor based AHP approach that were classified synthetically in a standard procedure developed for this study. Semi-quantitative modeling gives better results than heuristic modeling for the landslide susceptibility assessment of entire Turkey. The governing factors used in semi-quantitative modeling are curvature, landform and earthquake. It is observed that the huge percentage of historical landslides occurred in the topographic wetness index (TWI) layer possessing values of 12 and 13 that were derived from the 90 m resolution DEM. According to the findings Amasya, Sakarya, Muş, Çankırı and Bartın are the most landslide prone provinces of Turkey. The end product of this dissertation can be accepted to be a milestone for producing a final landslide susceptibility map of Turkey.


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Okalp, Kıvanç; Akgün, Haluk (2022-04-01)
Inventory, heuristic, statistical, and deterministic methods have been widely used in landslide susceptibility studies in recent years. This study aims to apply a GIS-based semi-quantitative approach (Analytical Hierarchy Process-AHP) to assess landslide susceptibility and determine landslide-prone areas at a regional level with medium-scale using publicly available datasets. The AHP was preferred due to its ability of correlating different parameters, which aids the researchers in producing relatively cons...
National level landslide susceptibility assessment of Turkey utilizing public domain dataset
Okalp, Kivanc; Akgün, Haluk (2016-05-01)
Landslide studies have been integrated into geographic information systems with the help of technological developments using several methods like inventory, heuristic, statistic and deterministic methods in the recent years. However, since a nationwide landslide susceptibility zoning map has not been produced for the entire territory of Turkey, this study aims to produce a landslide susceptibility map of Turkey at a national scale by utilizing publicly available datasets. In order to develop a landslide sus...
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Statistical models are one of the most preferred methods among many landslide susceptibility assessment methods. As landslide occurrences and influencing factors have spatial variations, global models like neural network or logistic regression (LR) ignore spatial dependence or autocorrelation characteristics of data between the observations in susceptibility assessment. However, to assess the probability of landslide within a specified period of time and within a given area, it is important to understand th...
Citation Formats
K. Okalp, “Landslide susceptibility assessment of Turkey using qualitative and semi-quantitative methods,” Ph.D. - Doctoral Program, Middle East Technical University, 2013.