<abstract xmlns="http://www.w3.org/1999/xhtml"> The landslide susceptibility was assessed based on multivariation analysis. The input parameters were represented by lithology, land use, slope inclination and average annual precipitation. These parameters were evaluated as independent variables, and the existing landslides as dependent variables. The individual input parameters were reclassified and spatially adjusted. Spatial analysis resulted in 15 988 combinations of input parameters representing the homogeneous condition unit (HCU ). Based on the landslide density within individual units, the HCU polygons have been classified according to landslide risk into stable, conditionally stable, conditionally stable and unstable (subdivided into low, medium and high landslide risk). A total of 2002 HCU s were affected by landslides, and the remaining 13 986 were not affected. The total HCU area affected by landslides is about 156.92 km2 (20.1%). Stable areas covered 623.01 km2 (79.8%), and conditionally stable areas covered 228.77 km2 (29.33% out of this area). Unstable areas were divided into three levels of landslide risk - low, medium and high risk. An area of 111.19 km2 (14.3%) represents low landslide risk, medium risk 29.7 km2 (3.8%) and 16.01 km2 (2%) represents high risk. Since Zlín Formation lithological unit covers approximately one-third of the study area, it also influences the overall landslide risk assessment. This lithological formation covers the largest area within all landslide risk classes as well as in conditionally stable areas. The most frequent slope class was in the range of 14-19. The higher susceptibility of Zlín Formation to landslides is caused mainly by different geomorphological value of claystone and sandstone sequence. The higher share of claystone results in higher susceptibility of this formation to exogenous degradation processes.</abstract>

The landslide susceptibility was assessed based on multivariation analysis. The input parameters were represented by lithology, land use, slope inclination and average annual precipitation. These parameters were evaluated as independent variables, and the existing landslides as dependent variables. The individual input parameters were reclassified and spatially adjusted. Spatial analysis resulted in 15 988 combinations of input parameters representing the homogeneous condition unit (HCU ). Based on the landslide density within individual units, the HCU polygons have been classified according to landslide risk into stable, conditionally stable, conditionally stable and unstable (subdivided into low, medium and high landslide risk). A total of 2002 HCU s were affected by landslides, and the remaining 13 986 were not affected. The total HCU area affected by landslides is about 156.92 km2 (20.1%). Stable areas covered 623.01 km2 (79.8%), and conditionally stable areas covered 228.77 km2 (29.33% out of this area). Unstable areas were divided into three levels of landslide risk - low, medium and high risk. An area of 111.19 km2 (14.3%) represents low landslide risk, medium risk 29.7 km2 (3.8%) and 16.01 km2 (2%) represents high risk. Since Zlín Formation lithological unit covers approximately one-third of the study area, it also influences the overall landslide risk assessment. This lithological formation covers the largest area within all landslide risk classes as well as in conditionally stable areas. The most frequent slope class was in the range of 14-19. The higher susceptibility of Zlín Formation to landslides is caused mainly by different geomorphological value of claystone and sandstone sequence. The higher share of claystone results in higher susceptibility of this formation to exogenous degradation processes.

Assessment of landslide risk using gis and statistical methods in kysuce region

Institute of Landscape Ecology, Slovak Academy of Sciences, Štefánikova 3, P.O.Box 254, 814 99 Bratislava, Slovak Republic

Ekológia (Bratislava)

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

{"article-title":"Assessment of landslide risk using gis and statistical methods in kysuce region"}

The landslide susceptibility was assessed based on multivariation analysis. The input parameters were represented by lithology, land use, slope inclination and...

Assessment of landslide risk using gis and statistical methods in kysuce region

Published Online: Apr 12, 2014

Page range: 26 - 35

DOI: https://doi.org/10.2478/eko-2014-0004

Keywords
landslide risk assessment, GIS

© by Mária Barančoková

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Assessment of landslide risk using gis and statistical methods in kysuce region

Published Online: Apr 12, 2014

Page range: 26 - 35

DOI: https://doi.org/10.2478/eko-2014-0004

Keywordslandslide risk assessment, GIS

© by Mária Barančoková

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords
landslide risk assessment, GIS