TÂRNAVA MICĂ HILLS LANDSLIDES SPATIAL DISTRIBUTION ANALYSIS USING GIS
Gheorghe Roşian1, Csaba Horváth2, Silviu Florin Fonogea3
1 Babeș–Bolyai University, Faculty of Environmental Science and Engineering, 400294, Fântânele Street, No. 30, Cluj–Napoca, Romania; e-mail: email@example.com
2 Babeş-Bolyai University, Faculty of Geography, 400006, Clinicilor Street, No. 5-7, Cluj-Napoca, Romania; e-mail: firstname.lastname@example.org
3 Babeş-Bolyai University, Faculty of Geography, 400006, Clinicilor Street, No. 5-7, Cluj-Napoca, Romania; e-mail: email@example.com
Abstract: - Târnava Mică Hills Landslides Spatial Distribution Analysis Using GIS. Landslides represent an extremely frequent geomorphological phenomenon in the Transylvanian Basin, but also in Târnava Mică Hills. In this paper, we analysed the distribution of the landslides based on spatial statistics techniques and GIS. In order to analyse the distribution of the landslides we took into consideration 5 criteria: geology, height, slope, exposition and the territorial administrative units. This type of study is necessary to find out the way in which the actual landslides are distributed and on the other hand, the research will collect information on the susceptible fields which are favoured by these geomorphological processes. As a result of the aerial photo analysis (1:5000), 3191 landslides were identified and vectorized. At the level of administrative-territorial units, these cover mostly agricultural land areas. Taking into consideration the lithological conditions (the presence of friable rocks, marl, clay and poorly cemented sands) and the land use (mostly agricultural) it can be said that in the future new landslides will occur in the same slope, exposition and geological characteristics, etc. In these conditions, the identification of the susceptible areas to the landslides is beneficial for the future territorial planning actions and also to avoid building on areas which are prone to landslides.
Key-words: landslides, spatial statistics, distribution, GIS.
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