Models in physical geography: concepts and applications to predict landslides
DOI:
https://doi.org/10.11606/issn.2179-0892.geousp.2016.102616Keywords:
Models in Physical Geography. Quantitative Analysis. Rainfall Correlation Model. Mathematical Models. Shalstab.Abstract
The different types of models have a direct relationship with the degree of abstraction of reality, occurring from simple, concrete and specific ways in which reality is turned only in scale level, until the development of conceptual models by applying mathematical formulations. Among those, the physically based models describe the physical processes through equations disregard any subjectivity and have been adopted, for example, on studies of mass movement. Thus, this paper aims to discuss briefly the concepts of models used in Physical Geography, highlighting two models applied in studies related to landslides that have demonstrated positive results in their tests. First it is discussed the classical model of correlation between rainfall and the occurrence of landslides. The second one, it is the physically based model Shalstab, which assesses the susceptibility of occurrence of shallow landslides. Finally, are presented examples of results of these models applied in Brazil.
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References
BURTON, I. The quantitative revolution and theoretical geography. In: DAVIES, W. K. D. (Ed.). The conceptual revolution in Geography. Londres: University of London Press, 1992. p. 140-156.
CHORLEY, R. J. Models in Geomorphology. In: CHORLEY, R. J.; HAGGETT, P. (Ed.). Models in Geography. Londres: Methuen & Co., 1967. p. 43-96.
CHRISTOFOLETTI, A. Modelagem de sistemas ambientais. São Paulo: Edgard Blucher, 1999.
CHRISTOFOLETTI, A. As perspectivas dos estudos geográficos. In: CHRISTOFOLETTI, A. (Ed.). Perspectivas da Geografia. São Paulo: Difel, 1985. p. 11-36.
DIETRICH, W. E.; MONTGOMERY, D. R. Shalstab: a digital terrain model for mapping shallow landslide potential. Cary, NC: NCASI, 1998. Technical Report.
DIETRICH, W. E. et al. A Process-Based Model for Colluvial Soil Depth and Shallow Landsliding Using Digital Elevation Data. Hydrological Processes, v. 9, p. 383-400, 1995.
DIETRICH, W. E. et al. Analysis of erosion thresholds, channel networks and landscape morphology using a digital terrain model. Journal of Geology, Chicago, v. 101, n. 2, p. 259-278, mar. 1993.
FERNANDES, N. F. Modelagem Matemática em geomorfologia: potencialidades e limitações. Sociedade & Natureza, Uberlândia, MG, v. 15, p. 222-227, 1996.
GERARDI, L. H. O.; SILVA, B. C. N. Quantificação em geografia. São Paulo: Difel, 1981.
GUIDICINI, G.; IWASA, O. Y. Ensaio de correlação entre pluviosidade e escorregamentos em meio tropical úmido. São Paulo: IPT, 1976. (IPT. Publicação, 1080).
GUIMARÃES, R. F. et al. Análise temporal das áreas susceptíveis a escorregamentos rasos no Parque Nacional da Serra dos Órgãos (RJ) a partir de dados pluviométricos. Revista Brasileira de Geociências, v. 39, p. 192-200, 2009.
GUIMARÃES, R. F. et al. Parameterization of soil properties for a model of topographic controls on shallow landsliding: application to Rio de Janeiro. Engineering Geology, v. 69, p. 99-108, 2003.
GUZZETTI, F. et al. Landslides hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology, v. 31, n. 1-4, p. 181-216, 1999. Disponível em: . Acesso em: 12 fev. 2016.
HAGGETT, P.; CHORLEY, R. J. Models, paradigms and the new Geography. In: CHORLEY, R. J.; HAGGETT, P. (Ed.). Models in Geography. Londres: Methuen e Co., 1967. p. 19-41.
HARVEY, D. Explanation in Geography. Londres: Edward Arnold, 1969.
KIRKBY, M. J. et al. Computer simulation in Physical Geography. Chichester: Wiley, 1987.
LISTO, F. L. R.; VIEIRA, B. C. Mapping of risk and susceptibility of shallow-landslide in the city of São Paulo, Brazil. Geomorphology, v. 169-170, p. 30-44, 2012. Disponível em: . Acesso em: 12 fev. 2016.
MICHEL, G. P.; KOBIYAMA, M.; GOERL, R. F. Comparative analysis of Shalstab and SINMAP for landslide susceptibility mapping in the Cunha River basin, southern Brazil, Journal of Soils and Sediments, v. 14, n. 7, p. 1266-1277, 2014. Disponível em: . Acesso em: 12 fev. 2016.
MINSHULL, R. An introduction to models in Geography. New York: Longman Group Limited, 1975.
MONTGOMERY, D. R.; DIETRICH, W. E. A physically based model for the topographic control on shallow landsliding. Water Resources Research, v. 30, n. 4, p. 1153-1171, 1994.
MOORE, I. D.; O'LOUGHLIN, E. M.; BURCH, G. J. A Counter-Based Topographic Model for Hydrological and Ecological Applications. Earth Surface and Processes and Landforms, v. 13, p. 305-320, 1988.
PERIN FILHO, C. Introdução à simulação de sistemas. Campinas, SP: Editora Unicamp, 1995. (Coleção livro-texto).
TAYLOR, P. J. Quantitative methods in Geography: an introduction to spatial analysis. Boston: Houghton Mifflin Company, 1977.
THOMAS, R. W.; HUGGETT, R. J. Modelling in Geomorphology: a mathematical approach. London: Harper and Row, 1980.
VAN WESTEN, C. J. Geo-information tools for landslide risk assessment: an overview of recent development. In: LACERDA, W. A. et al. (Ed.). Landslides: Evaluation and Stabilization. Londres: Taylor & Francis Group, 2004. p. 39-53.
VIEIRA, B. C.; RAMOS, H. Aplicação do modelo Shalstab para mapeamento da suscetibilidade a escorregamentos rasos em Caraguatatuba, Serra do Mar (SP). Revista do Departamento de Geografia, v. 29, p. 161-174. 2015.
VIEIRA, B. C. Previsão de escorregamentos translacionais rasos na Serra do Mar (SP) a partir de modelos matemáticos em bases físicas. Tese (Doutorado em Geografia) – Instituto de Geociências, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 2007.
ZAIDAN, R. T.; FERNANDES, N. F. Zoneamento de suscetibilidade a escorregamentos rasos em encostas aplicado à Bacia de Drenagem Urbana do córrego do Independência – Juiz de Fora (MG). Revista
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Copyright (c) 2016 Bianca Carvalho Vieira, Tiago D. Martins
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