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:
georgerosian@yahoo.com
2 Babeş-Bolyai University, Faculty of Geography, 400006, Clinicilor
Street, No. 5-7, Cluj-Napoca, Romania; e-mail: hcsaba@gmail.com
3 Babeş-Bolyai University, Faculty of Geography, 400006, Clinicilor
Street, No. 5-7, Cluj-Napoca, Romania; e-mail:
sfonogea@geografie.ubbcluj.ro
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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