Risk analysis of sliding using GIS
DOI:
https://doi.org/10.14195/2184-8394_119_4Keywords:
Risk, Sliding, Geographic Information System (GIS), Bayesian theoryAbstract
This paper presents a model for the Quantitative Risk Analysis, with the application of a Geographic Information System (GIS) using the Bayes theorem. It was adopted in the thematic integration of maps of the physical environment (vegetation, geological-geotechnical, natural drainage system and slopes). Based on this integration a sliding susceptibility map is created associated with vulnerability data (temporal and construction patterns of buildings) and risk criteria. This data is also used to create a quantitative risk map for a certain area. It can be stated that the use of an algorithm based on Bayesian statistics for thematic inte gration of maps of the physical environment provides reliable results in identifying areas susceptible to slide accidents. Lastly, the definition of risk areas is a valuable tool in slide risk management and, therefore, the data model developed in this study will be able to provide the public authorities with information for better planning of land use.
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