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GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region

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Environmental Geology

Abstract

The purpose of this study is to assess the susceptibility of landslides around Yomra and Arsin towns near Trabzon, in northeast of Turkey, using a geographical information system (GIS). Landslide inventory of the area was made by detailed field surveys and the analyses of the topographical map. The landslide triggering factors are considered to be slope angle, slope aspect, distance from drainage, distance from roads and the weathered lithological units, which were called as “geotechnical units” in the study. Idrisi and ArcGIS packages manipulated all the collected data. Logistic regression (LR) and weighted linear combination (WLC) statistical methods were used to create a landslide susceptibility map for the study area. The results were assessed within the scope of two different points: (a) effectiveness of the methods used and (b) effectiveness of the environmental casual parameters influencing the landslides. The results showed that the WLC model is more suitable than the LR model. Regarding the casual parameters, geotechnical units and slopes were found to be the most important variables for estimating the landslide susceptibility in the study area.

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Acknowledgments

This research is supported by the Research Fund of Karadeniz Technical University. The authors would like to thank Asst. Prof. M.Lütfi Süzen, Dr. Saro Lee, Assoc. Prof. Ünsal Gemici, Prof. Necdet Türk and one anonymous reviewer for their valuable comments on the manuscript.

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Authors and Affiliations

  1. Department of Geological Engineering, Dokuz Eylül University, Izmir, Turkey

    Aykut Akgün

  2. Department of Geological Engineering, Karadeniz Technical University, Trabzon, Turkey

    Fikri Bulut

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  1. Aykut Akgün
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  2. Fikri Bulut
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Correspondence to Aykut Akgün.

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Akgün, A., Bulut, F. GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region. Environ Geol 51, 1377–1387 (2007). https://doi.org/10.1007/s00254-006-0435-6

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  • DOI: https://doi.org/10.1007/s00254-006-0435-6

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