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Landslide susceptibility assessment using Spatial Analysis and GIS modeling in Cluj-Napoca Metropolitan Area, Romania
- Source :
- Cinq Continents, Vol 7, Iss 15 (2017)
- Publication Year :
- 2017
- Publisher :
- University of Bucharest, 2017.
-
Abstract
- 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.
Details
- Language :
- English, Spanish; Castilian, French
- ISSN :
- 22472290
- Volume :
- 7
- Issue :
- 15
- Database :
- Directory of Open Access Journals
- Journal :
- Cinq Continents
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.80cbb36230604ed1b21d57b6318710dd
- Document Type :
- article