Modeling landslide susceptibility in Greece: a weighted linear combination approach using analytic hierarchical process, validated with spatial and statistical analysis

G. Sakkas (), I. Misailidis, N. Sakellariou, V. Kouskouna and G. Kaviris
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G. Sakkas: National and Kapodistrian University of Athens
I. Misailidis: National and Kapodistrian University of Athens
N. Sakellariou: National and Kapodistrian University of Athens
V. Kouskouna: National and Kapodistrian University of Athens
G. Kaviris: National and Kapodistrian University of Athens

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 84, issue 3, No 19, 1873-1904

Abstract: Abstract A new model for Greece depicting, at a national scale, the spatial distribution of areas prone to landslide phenomena, taking into account preparatory and triggering criteria, is presented. This is a baseline study for prioritizing research in hazardous areas with more detail. Landslide occurrence is very high in certain areas of the Greek territory, such as Western Greece. Analysis is performed by applying two models, both based on slopes and geotechnical data, earthquake occurrence and precipitation. The first, which yields better results, also takes into account land use data. Since there was no access to landslide inventories, landslide susceptibility was performed on empirical estimates of the aforementioned criteria, using the analytic hierarchy process in order to derive the proper weights for each criterion. The final outcome is calculated based on the weighted linear combination of the above-mentioned criteria. The present study covers the area of Greece with an accuracy of 500 m × 500 m grid cell size. Results have been validated with observed events, landsliding urban areas and other studies, thus identifying landslide prone areas in a satisfying manner.

Keywords: Slopes; Precipitation; Land cover; Earthquakes; GIS; Landslide susceptibility mapping (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11069-016-2523-6

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