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Prediction accuracy improvement for landslide susceptibility mapping using the combination of frequency ratio, AHP, and curve fitting methods in the area between Sinop and Ayancık, Türkiye

algorithms-and-analysis-of-algorithms
optimization-theory-and-computation
scientific-computing-and-simulation
spatial-and-geographic-information-systems

Abstract

Landslide susceptibility mapping is widely used during the studies for the reduction of risks that can be appeared by landslide occurrence. In the present study, landslide susceptibility map of the region between Sinop province and Ayancık district were produced using Frequency Ratio (FR), Analytical Hierarchy Process (AHP), and Curve Fitting methods. The lithology, slope, elevation, aspect, curvature, proximity to the fault, road, and river, land cover and landslide inventory data of the study area were used to produce the landslide susceptibility map. According to the landslide susceptibility maps prepared by the FR, AHP, and Curve Fitting methods, 63.56%, 69.505%, and 81.84% of the landslides fall on the very high, high, and moderate susceptible areas. The Curve Fitting method demonstrated an accuracy of 81.84%, indicating its effectiveness in modeling landslide susceptibility based on conditioning factors.
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