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A new approach to use AHP in landslide susceptibility mapping: a case study at Yenice (Karabuk, NW Turkey)

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Abstract

This study aimed to investigate the parameter effects in preparing landslide susceptibility maps with a data-driven approach and to adapt this approach to analytical hierarchy process (AHP). For this purpose, at the first stage, landslide inventory of an area located in the Western Black Sea region of Turkey covering approximately 567 km2 was prepared, and a total of 101 landslides were mapped. In order to assess the landslide susceptibility, a total of 13 parameters were considered as the input parameters: slope, aspect, plan curvature, topographical elevation, vegetation cover index, land use, distance to drainage, distance to roads, distance to structural elements, distance to ridges, stream power index, sediment transport capacity index, and wetness index. AHP was selected as the major assessment methodology since the adapted approach and AHP work in data pairs. Adapted to AHP, a similarity relation–based approach, namely landslide relation indicator (LRI) for parameter selection method, was also proposed. AHP and parametric effect analyses were performed by the proposed approach, and seven landslide susceptibility maps were produced. Among these maps, the best performance was gathered from the landslide susceptibility map produced by 9 parameter combinations using area under curve (AUC) approach. For this map, the AUC value was calculated as 0.797, while the others ranged between 0.686 and 0.771. According to this map, 38.3 % of the study area was classified as having very low, 8.5 % as low, 15.0 % as moderate, 20.3 % as high, and 17.9 % as very high landslide susceptibility, respectively. Based on the overall assessments, the proposed approach in this study was concluded as objective and applicable and yielded reasonable results.

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Acknowledgments

This research is supported by the Scientific and Technical Research Council of Turkey (TUBITAK) (Project No: 108Y034). The authors would like to thank the Editor and two anonymous reviewers for their valuable comments and suggestions, which highly increased the quality of the paper. The authors would also like to thank Ms. Sibel Doğanay for her kind help and suggestions in English editing process.

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  1. Geological Engineering Department, Hacettepe University, 06800, Beytepe, Ankara, Turkey

    Gökçe Deniz Hasekioğulları & Murat Ercanoglu

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  1. Gökçe Deniz Hasekioğulları
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Correspondence to Murat Ercanoglu.

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Hasekioğulları, G.D., Ercanoglu, M. A new approach to use AHP in landslide susceptibility mapping: a case study at Yenice (Karabuk, NW Turkey). Nat Hazards 63, 1157–1179 (2012). https://doi.org/10.1007/s11069-012-0218-1

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