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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Combining natural and anthropic atributtes for aquifers contamination potential in southeast of Brazil

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Author(s):
Carlos Wilmer Costa [1] ; Reinaldo Lorandi [2] ; José Augusto Di Lollo [3] ; Vagner de Souza Serikawa [4]
Total Authors: 4
Affiliation:
[1] Universidade Federal do Rio Grande do Norte. Civil and Environmental Engineering Department - Brasil
[2] Universidade Federal de São Carlos. Department of Civil Engineering - Brasil
[3] Universidade Estadual Paulista. Department of Civil Engineering - Brasil
[4] Universidade Federal de São Carlos. Department of Civil Engineering - Brasil
Total Affiliations: 4
Document type: Journal article
Source: Sociedade e Natureza; v. 32, p. 603-619, 2022-01-24.
Abstract

Abstract The compromise of surface water resources' quantity and quality, as well as the extensive use of groundwater, exposes aquifers to contamination risks. Considering this, combine natural and manmade influences is a proper strategy for potential aquifer contamination evaluation. This article presents charts of aquifer contamination potential in Rio Claro watershed (251,91km2, in Santa Rita do Passa Quatro, SP) at 1:50,000 scale, taking in account aquifer units, surface geology units, soil and steepness information; operated using multicriteria analysis. The classes “Very high” and “High potential” where the most representative classes of contamination potential in the watershed (performing 46.1% in 1994 and 48.6% in 2014). Obtained contamination potential expressed geological attributes influence in the area. Land use / land cover changes were determinant for higher potential maintenance with time. Adoption of land use / land cover control measures and improvements in tillage management are alternatives for the groundwater protection in this watershed. (AU)

FAPESP's process: 13/03699-5 - Analytical geoenvironmental zoning at Rio Claro basin (SP), 1:50.000 scale
Grantee:Reinaldo Lorandi
Support Opportunities: Regular Research Grants