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Susceptibility to shallow landslides in a drainage basin in the Serra do Mar, São Paulo, Brazil, predicted using the SINMAP mathematical model

  • Tulius Dias Nery
  • Bianca Carvalho VieiraEmail author
Original Paper

Abstract

The Serra do Mar mountain range is a fault scarp with steep slopes that are often affected by shallow landslides triggered by extreme rainfall. Most of these events result in casualties and economic and environmental damage, especially in areas close to urban centers, major roadways and agricultural areas. The goal of this study was to evaluate the susceptibility to shallow landslides in the Serra do Mar, specifically within a drainage basin affected by such an event in January of 1985. For this purpose, the mathematical modeling technique of SINMAP was used by introducing the topographic values from a digital terrain model as well as geotechnical and hydrological values from previous studies performed in the Serra do Mar. In all, 32 susceptibility scenarios were generated, and three were analyzed for this study. These scenarios were validated using landslide scar maps produced using orthophotography; this technique was also used to analyze the functions of morphological parameters (e.g., slope angle, curvature and hypsometric features). The basin was classified as unstable, with landscape rates above 70 % for all three of the scenarios chosen. A higher landscape frequency was expected on straight slopes with angles between 30° and 50° under unsaturated soil conditions, as evidenced by low moisture rates, especially for N–S-facing slopes. The susceptibility maps generated using this model should prove useful for other critical parts of the Serra do Mar to understand better and, above all, predict these landslides, which annually cause significant damage in Brazil.

Keywords

Serra do Mar Shallow landslides Digital terrain model SINMAP 

Notes

Acknowledgments

The authors acknowledge the support of the São Paulo Research Foundation (Fundação de Amparo à Pesquisa do Estado de São Paulo—FAPESP) for the development of this study and the granting of a Master’s thesis. The authors also thank Eymar Silva Sampaio Lopes, Paulina Setti Riedel, Antonio Carlos Colangelo, Emerson Galvani, and all of the members of the research group for their contributions and scientific discussions. This manuscript was significantly improved by the contributions made by anonymous reviewers.

References

  1. Amaral Junior AF (2007) Mapeamento geotécnico aplicado a análise de processos de movimentos de massa gravitacionais: Costa Verde-RJ [Geotechnical mapping applied to analyze the processes of gravitational mass movements: Costa Verde-RJ]–Scale 1:10.000. Dissertation, Universidade de São PauloGoogle Scholar
  2. Baum RL, Savage WZ, Godt JW (2002) TRIGRS—a FORTRAN program for transient rainfall infiltration and grid-based regional slope-stability analysis. USGS, DenverGoogle Scholar
  3. Bogaart PW, Troch P (2006) A curvature distribution within hill slopes and catchments and its effect on the hydrological response. Hydrol Earth Syst Sci 3:1071–1104. doi: 10.5194/hess-10-925-2006 CrossRefGoogle Scholar
  4. Churchill RR (1982) Aspect-induced differences in hillslope processes. Earth Surf Proc Land 7:171–182. CrossRefGoogle Scholar
  5. Costa Nunes AJ (1969) Landslides in soils of decomposed rock due to intense rainstorms. 7th Int. Conf. Soil Mech. Found. Eng. ISSMFE, London, pp 547–554Google Scholar
  6. Dai FC, Lee CF (2002) Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 42:213–228. doi: 10.1016/S0169-555X(01)00087-3 CrossRefGoogle Scholar
  7. De Ploey J, Cruz O (1979) Landslides in Serra do Mar, Brazil. Catena 6:111–122. doi: 10.1016/0341-8162(79)90001-8 CrossRefGoogle Scholar
  8. Deb SK, El-Kadi AI (2009) Susceptibility assessment of shallow landslides on Oahu, Hawaii, under extreme-rainfall events. Geomorphology 108:219–233. doi: 10.1016/j.geomorph.2009.01.009 CrossRefGoogle Scholar
  9. Fernandes NF, Guimarães RF, Gomes RAT, Vieira BC, Montgomery DR, Greenberg H (2004) Topographic controls of landslides in Rio de Janeiro: field, evidence and modeling. Catena 55:163–181. doi: 10.1016/S0341-8162(03)00115-2 CrossRefGoogle Scholar
  10. Gao J, Maro J (2009) Topographic controls on evolution of shallow landslides in pastoral Wairarapa, New Zealand, 1979–2003. Geomorphology 114:373–381. doi: 10.1016/j.geomorph.2009.08.002 CrossRefGoogle Scholar
  11. Gomes RAT, Guimarães RF, Carvalho AO Jr, Fernandes NF, Vargas EA Jr, Martins EA (2008) Identification of the affected areas by mass movement through a physically based model of landslide hazard combined with an empirical model of debris flow. Nat Hazards 45:197–209. doi: 10.1007/s11069-007-9160-z CrossRefGoogle Scholar
  12. Gritzner ML, Andrew Marcus W, Aspinall R, Custer SG (2001) Assessing landslide potential using GIS, soil wetness modeling and topographic attributes, Payette River, Idaho. Geomorphology 37:149–165. doi: 10.1016/S0169-555x(00)00068-4 CrossRefGoogle Scholar
  13. Guimarães RF, Fernandes NF, Gomes RAT, Greenberg HM, Montgomery DR, Carvalho Junior OA (2003) Parameterization of soil parameters for a model of the topographic controls on shallow landsliding. Eng Geol 69:99–108. doi: 10.1016/S0013-7952(02)00263-6 CrossRefGoogle Scholar
  14. Lacerda WA (2007) Landslide initiation in saprolite and colluvium in southern Brazil: field and laboratory observations. Geomorphology 87:104–119. doi: 10.1016/j.geomorph.2006.03.037 CrossRefGoogle Scholar
  15. Listo FLR, Vieira BC (2012) Mapping of risk and susceptibility of shallow-landslide in the city of São Paulo, Brazil. Geomorphology 169–170:30–44. doi: 10.1016/j.geomorph.2012.01.010 CrossRefGoogle Scholar
  16. Lopes ESS, Riedel PS, Bentz CM, Ferreira MV (2007) Calibração e validação do índice de estabilidade de encostas com inventário de escorregamentos naturais na bacia do rio da Onça, na região da Serra de Cubatão, SP [Calibration and validation of the stability index of slopes with records of natural landslides in the Onça river basin, located in the Serra de Cubatão, SP]. Geociências 26:83–95Google Scholar
  17. Meisina C, Scarabelli S (2007) A comparative analysis of terrain stability models for predicting shallow landslides in colluvial soils. Geomorphology 87:207–223. doi: 10.1016/j.geomorph.2006.03.039 CrossRefGoogle Scholar
  18. Mendes RM (2008) Estudos das propriedades geotécnicas de solos residuais não saturados de Ubatuba (SP) [Studies of the geotechnical properties of unsaturated residual soils in Ubatuba (SP)]. Dissertation, Universidade de São PauloGoogle Scholar
  19. Montgomery DR, Dietrich WE (1994) A physically based model for the topographic control on shallow landsliding. Water Resour Res 30:1153–1171CrossRefGoogle Scholar
  20. O’Loughlin EM (1986) Prediction of surface saturation zones in natural catchments by topographic analysis. Water Resour Res 22:794–804.CrossRefGoogle Scholar
  21. Pack RT, Tarboton DG, Goodwin CN (1998) SINMAP—a stability index approach to terrain stability hazard mapping. User’s manual. Terratech Consulting Ltd, Salmon ArmGoogle Scholar
  22. Reneau SL, Dietrich WE (1987) Size and location of colluvial landslides in a steep forested landscape. Erosion and sedimentation in the pacific rim (Proceedings of the Corvallis Symposium, August, 1987). IAHS Publication 165:39–48Google Scholar
  23. Terhorst B, Kreja R (2009) Slope stability modeling with SINMAP in a settlement area of the Swabian Alb. Landslides 6:309–319. doi: 10.100/s10346-009-0167-2 CrossRefGoogle Scholar
  24. Vargas E Jr, Oliveira ARB, Costa Filho LM, Campos TP (1986) A study of the relationship between the stability of slopes in residual soils and rain intensity. International symposium on environmental geotechnology. Eno Publishing, Leigh, pp 491–500Google Scholar
  25. Vieira BC, Fernandes NF, Filho OA (2010) Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil. Nat Hazards Earth Syst Sci 10:1829–1837. doi: 10.5194/nhess-10-1829-2010 CrossRefGoogle Scholar
  26. Wolle CM, Carvalho CS (1994) Taludes naturais [Natural slopes]. In: Falconi FF, Junior AN (eds) Solos do Litoral de São Paulo [soils from the coast of São Paulo State]. ABMS, São Paulo, pp 180–203Google Scholar
  27. Wolle CM, Hachich W (1989) Rain-induced landslides in south-eastern Brazil. In: Proceedings 12th Int. Conf. on Soil Mech. and Found. Eng., Rio de Janeiro, vol 3. pp 1639–1644Google Scholar
  28. Wu W, Sidle RC (1995) A distributed slope stability model for steep forested basins. Water Resour Res 31:2097–2110. doi: 10.1029/95WR01136 CrossRefGoogle Scholar
  29. Yilmaz I, Keskin I (2009) GIS based statistical and physical approaches to landslide susceptibility mapping (Sebinkarahisar, Turkey). Bull Eng Geol Environ 68:459–471. doi: 10.1007/s10064-009-0188-z CrossRefGoogle Scholar
  30. Zaitchik BF, Van ESHM, Sullivan PJ (2003) Modeling slope stability in Honduras: parameter sensitivity and scale of aggregation. Soil Sci Soc Am J 67:268–278. doi: 10.2136/sssaj2003.2680 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.National Early Warning and Monitoring Center for Natural DisastersCachoeira PaulistaBrazil
  2. 2.Graduate Program in Physical GeographyUniversity of São PauloSão PauloBrazil
  3. 3.Department of GeographyUniversity of São PauloSão PauloBrazil

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