GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey) |
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| Authors: | Cagatay Yilmaz Tamer Topal Mehmet Lütfi Süzen |
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| Institution: | (1) Department of Geological Engineering, Middle East Technical University, 06531 Ankara, Turkey; |
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| Abstract: | Devrek town with increasing population is located in a hillslope area where some landslides exist. Therefore, landslide susceptibility
map of the area is required. The purpose of this study was to generate a landslide susceptibility map using a bivariate statistical
index and evaluate and compare the results of the statistical analysis conducted with three different approaches in seed cell
concept resulting in different data sets in Geographical Information Systems (GIS) based landslide susceptibility mapping
applied to the Devrek region. The data sets are created from the seed cells of (a) crowns and flanks, (b) only crowns, and
(c) only flanks of the landslides by using ten different causative parameters of the study area. To increase the data dependency
of the analysis, all parameter maps are classified into equal frequency classes based directly on the percentile divisions
of each corresponding seed cell data set. The resultant maps of the landslide susceptibility analysis indicate that all data
sets produce fairly acceptable results. In each data set analysis, elevation, lithology, slope, aspect, and drainage density
parameters are found to be the most contributing factors in landslide occurrences. The results of the three data sets are
compared using Seed Cell Area Indexes (SCAI). This comparison shows that the crown data set produces the most accurate and
successful landslide susceptibility map of the study area. |
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