Landslide susceptibility assessment using Spatial Analysis and GIS modeling in Cluj-Napoca Metropolitan Area, Romania
In Romania, landslides together with the multitude geomorphological processes linked to them are some of the most common hazards which manifested in vulnerable areas with important human activities can induce many negative effects. From this perspective, identifying the areas affected by landslid...
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Format: | Article |
Language: | English |
Published: |
University of Bucharest
2017-06-01
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Series: | Cinq Continents |
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Online Access: | http://cinqcontinents.geo.unibuc.ro/7/7_15_Dolean.pdf |
Summary: | In Romania, landslides together with the multitude
geomorphological processes linked to them are some of the most common hazards which
manifested in vulnerable areas with important human activities can induce many negative
effects. From this perspective, identifying the areas affected by landslides, based on GIS spatial
analysis models and statistical methods, is a subject frequently discussed in the national and
international literature. This research was focused on the methods and practices of GIS spatial
analysis, with a target of creating a complex model and a viable methodology of assessment the
probability of occurrence of landslides, applicable within any territory. The study was based on
the identification and analysis in a bivariate systemic manner of the numerous factors involved
in the production of landslides, such as topography, morphology, hydrography, geological,
lithology, weather, land use. The area in which the analysis has been conducted, The
Metropolitan Area of Cluj-Napoca, was chosen due to the exacerbated urbanization of the recent
years, coupled with a massive increase in the number of inhabitants, thus being a space of socioeconomic
importance and a real challenge regarding spatial planning. Applying the model in this
area has generated relatively good results, with a power of predictability of over 80%, measured
in landslides sample areas used for the validation of the results, fact which attest the viability of
the model and the fact that the model can be used in different areas with related morphometric
and environmental characteristics.
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ISSN: | 2247-2290 2247-2290 |