Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis |
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Authors: | Aykut Akgun Necdet Türk |
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Institution: | (1) Geological Engineering Department, Karadeniz Technical University, 61080 Trabzon, Turkey;(2) Geological Engineering Department, Dokuz Eylul University, 35160 Izmir, Turkey |
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Abstract: | This paper presents the results of geographical information system (GIS)-based landslide susceptibility mapping in Ayvalık,
western Turkey using multi-criteria decision analysis. The methodology followed in the study includes data production, standardization,
and analysis stages. A landslide inventory of the study area was compiled from aerial photographs, satellite image interpretations,
and detailed field surveys. In total, 45 landslides were recorded and mapped. The areal extent of the landslides is 1.75 km2. The identified landslides are mostly shallow-seated, and generally exhibit progressive character. They are mainly classified
as rotational, planar, and toppling failures. In all, 51, 45, and 4% of the landslides mapped are rotational, planar, and
toppling types, respectively. Morphological, geological, and land-use data were produced using existing topographical and
relevant thematic maps in a GIS framework. The considered landslide-conditioning parameters were slope gradient, slope aspect,
lithology, weathering state of the rocks, stream power index, topographical wetness index, distance from drainage, lineament
density, and land-cover and vegetation density. These landslide parameters were standardized in a common data scale by fuzzy
membership functions. Then, the degree to which each parameter contributed to landslides was determined using the analytical
hierarchy process method, and the weight values of these parameters were calculated. The weight values obtained were assigned
to the corresponding parameters, and then the weighted parameters were combined to produce a landslide susceptibility map.
The results obtained from the susceptibility map were evaluated with the landslide location data to assess the reliability
of the map. Based on the findings obtained in this study, it was found that 5.19% of the total area was prone to landsliding
due to the existence of highly and completely weathered lithologic units and due to the adverse effects of topography and
improper land use. |
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