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Analytical Model of Landslide Risk Using GIS
Department of Civil Engineering, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
Transpetro S/A, Rio de Janeiro, Brazil
Centro Federal de Educa??o Tecnológica Celso Suckow da Fonseca/UnED-Petrópolis, Rio de Janeiro, Brazil
- 1 Department of Civil Engineering, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- 2 Transpetro S/A, Rio de Janeiro, Brazil
- 3 Centro Federal de Educa??o Tecnológica Celso Suckow da Fonseca/UnED-Petrópolis, Rio de Janeiro, Brazil
Open Journal of Geology·Volume 02 (2012)·Pages 182–188·Published 27 July 2012·DOI10.4236/ojg.2012.23018
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Abstract
This paper presents a model for quantitative risk analysis with the application of geographic information systems (GISs) using Bayesian theory. It was used for the thematic integration of maps in a natural state (vegetation, geological-geo- technical, natural drainage and gradient). A landslide susceptibility map was produced based on this integration associated with vulnerability data (time and housing construction standards) and risk criteria. A quantitative risk map for a specific area was also drawn up from this data
KeywordsRiskLandslideGISBayesian Theory
- S. Lichtenstein and J. R. Newman, “Empirical Scaling of Common Verbal Phrases Associated with Numerical Probabilities,” Psychonometric Science, Vol. 9, No. 10, 1967, pp. 563-564.
- S. Vick, “Dam Safety Risk Assessment: New Directions,” Water Power and Dam Construction, Vol. 49, No. 6, 1997, pp. 40-42
- E. Varanda, “Quantitative Landslide Risk Mapping for the 1st District of Petrópolis, Rio de Janeiro State, Using GIS,” Master’s Thesis, COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, 2006.
- INPE (National Space Research Institute), “Spring Basic,” 2006. http://www.dpi.inpe.br/spring/portugues
- L. C. D. Oliveira, “Quantitative Risk Analysis of Mass Movements Using Bayesian Statistics,” Ph.D. Thesis, COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, 2004.
- J. Stutz and P. A. Cheeseman, “Short Exposition on Bayesian Interference and Probability,” Computational Science Division, National Aeronautic and Space Administration Ames Research Centre, Data Learning Group, 1994. http://www.periodicos.capes.gov.br
- R. Fell and D. Hartford, “Landslides Risk Management,” Proceedings of the International Workshop on the Landslides Risk Assessment, Honolulu, 19-21 February 1997, pp. 51-109.
- Ministry of Cities, “Training in Mapping and Risk Management,” Cities Alliance, Brasília, 2006.
- Ministry of Cities, “Landslide Risk Prevention on Slopes: Guide for Preparing Local Government Policies,” Cities Alliance, Brasília, 2006.