Landslide Hazard Assessment Using Bivariate And Multivariate Statistical Analysis In Kosicka Kotlina Basin (Western Carpathians)

Landslides are one of the most frequently occurring natural global hazards which threatens human activities in the landscape. This paper employs a landslide hazard assessment in the Kosicka kotlina basin, Eastern Slovakia, where the State Geological Institute of Dionyz Stur registered 1 233 landslides within an area of 328 km(2). Lithological conditions, elevation, slope, aspect, curvature, land cover and registered landslide raster datasets were evaluated and statistically processed for landslide hazard assessment. The bivariate and multivariate conditional analysis was applied and the spatial distribution of the slope movement hazard calculated by using the methods of multivariate and bivariate analysis, which was classified into five classes by geometrical interval function. This data showed that the majority of the studied area is associated with a medium, high or very high degree of landslide hazard. Receiver operating characteristic (ROC) analysis was performed in order to assess the accuracy of created models and validation pointed that the AUC (area under the curve) in case of multivariate analysis is equal to 0.886 and bivariate analysis to 0.846, which provided an accuracy of 88.6% and 84.6%.