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Abstract
Abstract Natural events are called disasters when they cause great damage, human suffering, or loss of life. Landslides, one of these disasters, cause significant damage to property and infrastructure and pose risks to people's lives. In this research, landslide susceptibility was studied in Iyidere Basin, located in northeastern Turkey. This basin, which is among the cities where the most landslide events occur in Turkey, is a very important representative area in terms of a comprehensive analysis of landslides in the region. Bivariate (frequency ratio, weight of evidence, statistical index) and machine learning methods (artificial neural network, logistic regression) were used to evaluate landslide susceptibility with fifteen environmental parameters and 588 landslide inventory data. Landslide inventory data was generated using different sources, and environmental parameters databases were created using various sources and software. A receiver operating characteristic curve and Kappa statistic value were generated to test the performance and reliability of the susceptibility maps. It was determined that landslide susceptibility is higher in the downstream part of the basin. Although it varies between methods, it has been determined that approximately one-quarter of the basin has high and very high landslide susceptibility. The most effective parameters (drainage density, slope, curvature, lithology, land cover, distance to stream, and roads) for susceptibility and their classes were revealed.
Highlights
The earth is a planet where natural events such as earthquakes, floods, and landslides occur due to its dynamic structure
This study provides a detailed assessment of shallow landslide events and environmental factors in a geomorphologically young and rainy area
Polykretis and Chalkias (2018) found that the areal distribution of the lowest landslide susceptibility class is very low in the map obtained with the bivariate weight of evidence (WOE) method, while the areal value of the lowest class is higher in the map obtained with artificial neural networks (ANN) and logistic regression (LR)
Summary
The earth is a planet where natural events such as earthquakes, floods, and landslides occur due to its dynamic structure. Despite being regular in terms of the natural course of the earth, these events are called as disasters when they harm people and their artifacts. Among these disasters, the landslide is one of the important topics. Landslides are Turkey’s second most damaging disaster, preceded by earthquakes (Gökçe et al 2008). Most of these landslides occurred on the northern slopes of the mountains in the northeast of Turkey (DEMP 2018). The study area is a basin where landslide disasters frequently occur, it has not been studied comprehensively
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