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2017 | 26 | 3[77] |
Tytuł artykułu

Application of a complex

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Application of a complex assessment of landslide hazards in mountain regions. The main regional factors of occurrence and activation of landslides within the mountain region were examined. As a result of study of recommendations made by experts, geologists, and gap analysis of existing methods of forecasting the landslide process, an algorithm of comprehensive assessment of landslide hazard areas based on the construction of models in a GIS environment was proposed. These models describe the spatial patterns of landslides. All factors determining the tendency of the studies area to the landslide process development were divided into actual factors, reflecting the regional peculiarities of the territory and forming the landslide-prone slopes (static model), as well as triggering factors, initiating the landslide process and determining its activity (dynamic model). The first cartographic model was built, showing the distribution of the deterministic indirect indicator of landslide hazard, i.e. stability index.
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Bibliografia
  • Bilets’kyy, S.V. (2006). State Geological map of Ukraine. Scale 1:200 000. Crimean serіes. Sheet L-36-XXVIII (Yevpatorіya), L-36-XXXIV (Sevastopol). State Geological Survey, the State enterprise «Pívdenekogeotsentr», UkrSGRÍ, Kyiv.
  • Borysenko, L.S., Chebanenko, I.I., Shatalov, N.N., Novik, N.N. & Salomatin, V.N. (1988). Noveyshya tektonika Kryma po dannum geologo-geofizicheskikh i aerokosmicheskikh issledovaniy [The newest tectonics of Crimea according to geological-geophysical and aerospace researches]. Geological Journal, 3, 3-11.
  • Carrara, A., Cardinali, M. & Detti, R. (1991). GIS techniques and statistical models in evaluating landslide hazard. Earth Surface Processes and Landforms, 16, 427-445.
  • Dhaka, A.S., Amada, T. & Aniya, M. (2000). Landslide Hazard Mapping and its Evaluation Using GIS: An Investigation of Sampling Schemes for a Grid-Cell Based Quantitative Method. Photogrammetric Engineering & Remote Sensing, 66, 981-989.
  • Emel’yanova, E.P. (1972). Osnovnye zakonomernosti opolznevykh protsessov [Basic laws of landslide processes]. Moscow: Nedra.
  • Erysh, I.F. & Salomatin, V.N. (1999). Opolzni Kryma. Ch.1. Istoriya otechestvennogo opolznevedeniya [Crimean landslides (part I). The history of national landslide science]. Simferopol: Apostrof.
  • Filosofov, V.P. (1975). Fundamentals of the Morphometric Method of Tectonic Structures Prospecting. Saratov: Publishing House of Saratov University.
  • Neklyudov, G.D. & Storchak, N.P. (1976). Engineering-geological zoning map. Scale 1:25000. Geological Ministry of USSR. Crimean complex geological survey expedition.
  • Pack, R.T., Tarboton, D.G. & Goodwin, C.N. (1998). Terrain Stability Mapping with SINMAP, technical description and users guide for version 1.00. Report Number 4114-0, Terratech Consulting Ltd., Salmon Arm, B.C., Canada.
  • Quinn, P.E., Hutchinson, D.J., Diederichs, M.S. & Rowe, R.K. (2010). Regional-scale landslide susceptibility mapping using the weights of evidence method: an example applied to linear infrastructure. Canadian Geotechnical Journal, 47(8), 905-927.
  • Rudko, G.I. & Erysh, I.F. (2006). Opolzni i drugie geodinamicheskie protsessy gornoskladchatykh oblastey Ukrainy (Krym, Karpaty) [Landslides and other geodynamic processes of mountain regions of Ukraine (Crimea, Carpathians)]. Kiev: Zadruga.
  • Tarolli, P. & Tarboton, P. (2006). A new method for determination of most likely landslide initiation points and the evaluation of digital terrain model scale in terrain stability mapping. Hydrology and Earth Systems Science, 10, 663-677.
  • Virajh Dias, A.A. & Gunathilake, J.K. (2014). Evaluation of Sensitivity of the WAA and SINMAP Models (Static) for Landslide Susceptibility Risk Mapping in Sri Lanka. Landslide Science for a Safer Geoenvironment, 2, 167-173.
  • Zolotarev, G.S. (1983). Inzhenernaya geodinamika [Engineering Geodynamics]. Moscow: Moscow University.
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Bibliografia
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