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Cuadernos de Geografía: Revista Colombiana de Geografía

versão impressa ISSN 0121-215Xversão On-line ISSN 2256-5442

Resumo

HERRMANN RUGGIERO, Mayara et al. Determination of Potential of Aquifer Contamination in the Municipality of Artur Nogueira (São Paulo, Brasil), Through Geoenvironmental Attributes. Cuad. Geogr. Rev. Colomb. Geogr. [online]. 2022, vol.31, n.2, pp.324-340.  Epub 17-Nov-2022. ISSN 0121-215X.  https://doi.org/10.15446/rcdg.v31n2.88995.

Human activities exert constant pressures on groundwater. In fact, one of the most relevant problems is the anthropogenic addition of contaminants and pollutants, closely related with the land use. Analyzing the response of geoenvironmental factors associated to land use and occupation is an essential tool to identify how prone to contamination an aquifer is it, also widely used for territorial planning. Thus, the present study aimed to determine the aquifer contamination potential in Artur Nogueira city (São Paulo, Brasil). To do so, we used study area attributes related to the geology and geomorphology (aquifer units, unconsolidated materials, and slope), including soil use and occupation features. By using multi-criteria analysis and map algebra, this region exhibited a huge range of contamination potential. Our results showed that approximately 47 % of the city area displayed a medium potential. The highest one covered approximately 24 % of the study site. The large agricultural and livestock matrix in the region contributed strongly to those results. Another important factor was the physical environmental characteristics. This highlights how a planning lack regarding the land use and occupation directly influenced the groundwater contamination potential.

Highlights:

Research article about aquifer contamination. Multicriteria analysis was applied to prepare a chart of aquifer contamination potential. Analyzing geoenvironmental attributes with land use, areas with high to low contamination potential were identified, with conventional agriculture being the most impactful activity.

Palavras-chave : groundwater; pollution; geographical data; Geographic Information System; land use.

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