Abstract
This study evaluated alternatives for producing erosion susceptibility maps, considering different weight combinations for an environment’s attributes, according to four different points of views. The attributes considered were landform, steepness, soils, rocks and land occupation. Considered alternatives were: (1) equal weights, more traditional approach, (2) different weights, according to a previous study in the area, (3) different weights, based on other works in the literature, and (4) different weights based on the analytical hierarchical process. The area studied included the Prosa Basin located in Campo Grande—Mato Grosso do Sul State, Brazil. The results showed that the assessed alternatives can be used together or in different stages of studies aiming at urban planning and decision-making on the interventions to be applied.
Similar content being viewed by others
References
Águas Guariroba (2008) Sanitary system master plan for Campo Grande/MS: 1st revision 2008–2030 (in Portuguese)
Camara G, Souza RCM, Freitas UM, Garrido J (1996) SPRING: integrating remote sensing and GIS by object-oriented data modeling. Comput Graph 20(3):395–403
Canil K (2000) Erosion processes and urban planning: erosion risk chart for Franca, SP. Geosciences Institute, São Paulo University (in Portuguese)
Castro SS, Queiroz Neto JP (2010) Soil erosion in Brazil from coffee to the present-day soy bean production. Developments in earth surface processes, vol 13, Elsevier BV, Philadelphia, USA
Chaves HML (2008) Soil erosion modeling and control in Brazil: past, present and future. In: International workshop erosion, transport and deposition of sediments, international sediment initiative
Chen J, Chen JC, Tan MZ, Gong ZT (2002) Soil degradation: a global sustainable development. J Geogr Sci 12(2):243–252
Ferreira MD, Pejon OJ (2007) Accelerated erosion processes: spatial and temporal behavior of gully. Geotecnia 110:101–119 (in Portuguese)
Gupta A, Ahmad R (1996) Urban steeplands in tropics: an environment of accelerated erosion. GeoJournal 49:143–150
He X, Zhou J, Zhang X, Tang K (2006) Soil erosion response to climatic change and human activity during the quaternary of the Loess Plateau, China. Reg Environ Chang 6:62–70
Kemp K (1992) Environmental modeling with GIS: a strategy for dealing with spatial continuity. University of California, Santa Barbara
Lee S (2004) Soil erosion assessment and its verification using the universal soil loss equation and geographic information system: a case study at Boun, Korea. Environ Geol 45:457–465
Mauro JR (2001) Soil erosion susceptibility map for Prosa Basin, City of Campo Grande, state of Mato Grosso do Sul, Brazil. Univ. Estadual Paulista at Ilha Solteira (in Portuguese)
Mauro JR, Lollo JA (2004) Terrain evaluation for erosion susceptibility chart production in Prosa Basin—Campo Grande, MS. Revista Brasileira de Recursos Hídricos 9(3):23–38 (in Portuguese)
Mopt (1992) A guide for preparing environmental studies. Ministerio de Obras Publicas e Transportes (in Spanish)
Nishiyama L (1998) Procedures for engineering geological mapping based in environmental analysis at 1:100.00 scale: application in Uberlândia-MG. São Paulo University at São Carlos (in Portuguese)
Peixoto Filho GEC (2008) Environmental quality evaluation in Prosa Basin considering land use. Univ. Federal do Mato Grosso do Sul (in Portuguese)
Pimentel D (2006) Soil erosion: a food and environmental threat. Environ Dev Sustain 8:119–137
Planurb (1997) Erosion diagnosis in the city of Campo Grande. Urban Planning and Environment Institute of Campo Grande (in Portuguese)
Pons NAD, Pejon OJ, Zuquette LV (2007) Use of geoprocessing in the study of land degradation in urban environments: the case of the city of São Carlos, state of São Paulo, Brazil. Environ Geol 53:727–739
Ridente JL Jr (2000) Prevention and control of urban erosion: Cedro and Limoeiro stream watersheds. In: Presidente Prudente and Álvares Machado, SP. Univ. Estadual Paulista at Rio Claro (in Portuguese)
Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48:9–26
Silva AM, Alvares CA, Watanabe CH (2011) Natural potential for erosion in Brazilian territory. Soil erosion, vol 1. Intech, Rijeka, Croatia
Silveira LLL, Pejon OJ (2007) Index properties to predict erodibility of tropical soil. Bull Eng Geol Environ 66:225–236
Spavorek G, Correchel V, Pereira Barretto AGO (2007) The risk of erosion in Brazilian cultivated pastures. Sci Agric 64:77–82
Telles TS, Guimarães MF (2009) Soil erosion costs. In: Sober 47th congress (in Portuguese)
Zuquette LV, Gandolfi N (2004) Engineering geological mapping. Oficina de Textos (in Portuguese)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
de Lollo, J.A., Sena, J.N. Establishing erosion susceptibility: analytical hierarchical process and traditional approaches. Bull Eng Geol Environ 72, 589–600 (2013). https://doi.org/10.1007/s10064-013-0529-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10064-013-0529-9