Analytical Model of Landslide Risk Using GIS
Affiliation(s)
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.
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.
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
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
Cite this paper
C. F. Mahler, E. Varanda and L. C. D. de Oliveira, "Analytical Model of Landslide Risk Using GIS," Open Journal of Geology, Vol. 2 No. 3, 2012, pp. 182-188. doi: 10.4236/ojg.2012.23018.
C. F. Mahler, E. Varanda and L. C. D. de Oliveira, "Analytical Model of Landslide Risk Using GIS," Open Journal of Geology, Vol. 2 No. 3, 2012, pp. 182-188. doi: 10.4236/ojg.2012.23018.
References
[1] 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. [2] S. Vick, “Dam Safety Risk Assessment: New Directions,” Water Power and Dam Construction, Vol. 49, No. 6, 1997, pp. 40-42 [3] 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. [4] INPE (National Space Research Institute), “Spring Basic,” 2006. http://www.dpi.inpe.br/spring/portugues [5] 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. [6] 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 [7] 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. [8] Ministry of Cities, “Training in Mapping and Risk Management,” Cities Alliance, Brasília, 2006. [9] Ministry of Cities, “Landslide Risk Prevention on Slopes: Guide for Preparing Local Government Policies,” Cities Alliance, Brasília, 2006.
[1] 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. [2] S. Vick, “Dam Safety Risk Assessment: New Directions,” Water Power and Dam Construction, Vol. 49, No. 6, 1997, pp. 40-42 [3] 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. [4] INPE (National Space Research Institute), “Spring Basic,” 2006. http://www.dpi.inpe.br/spring/portugues [5] 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. [6] 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 [7] 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. [8] Ministry of Cities, “Training in Mapping and Risk Management,” Cities Alliance, Brasília, 2006. [9] Ministry of Cities, “Landslide Risk Prevention on Slopes: Guide for Preparing Local Government Policies,” Cities Alliance, Brasília, 2006.