Modeling landslide susceptibility in Greece: a weighted linear combination approach using analytic hierarchical process, validated with spatial and statistical analysis
العنوان: | Modeling landslide susceptibility in Greece: a weighted linear combination approach using analytic hierarchical process, validated with spatial and statistical analysis |
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المؤلفون: | George Kaviris, N. Sakellariou, I. Misailidis, Georgios K. Sakkas, V. Kouskouna |
المصدر: | Natural Hazards. 84:1873-1904 |
بيانات النشر: | Springer Science and Business Media LLC, 2016. |
سنة النشر: | 2016 |
مصطلحات موضوعية: | Atmospheric Science, Hydrogeology, 010504 meteorology & atmospheric sciences, Land use, Analytic hierarchy process, Landslide, Land cover, 010502 geochemistry & geophysics, 01 natural sciences, Natural hazard, Earth and Planetary Sciences (miscellaneous), Geotechnical engineering, Linear combination, Scale (map), Cartography, Geology, 0105 earth and related environmental sciences, Water Science and Technology |
الوصف: | 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. |
تدمد: | 1573-0840 0921-030X |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::43451f823fc643ada7049a813dd5cf66 https://doi.org/10.1007/s11069-016-2523-6 |
حقوق: | CLOSED |
رقم الأكسشن: | edsair.doi...........43451f823fc643ada7049a813dd5cf66 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15730840 0921030X |
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