4.6 Article

Characterization of an inactive dumpsite using electrical resistivity tomography and hydrochemical data: a case study in Brazil

Journal

ENVIRONMENTAL EARTH SCIENCES
Volume 82, Issue 22, Pages -

Publisher

SPRINGER
DOI: 10.1007/s12665-023-11233-2

Keywords

Dumpsite; Geophysics; Electrical resistivity tomography; Contamination

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Open dumping is a common waste disposal method in developing countries, which poses environmental and health risks. Electrical resistivity tomography (ERT) is an interesting alternative for studying the environmental impacts of dumpsites. In this study, ERT was used to delimit the waste mass and identify anomalies related to alterations in soil and groundwater properties in an abandoned dumpsite in Brazil. The results showed a good correlation between conductive anomalies and the extent of waste.
Open dumping is one of the most common solid waste disposal methods in developing countries. As they lack planning and basic environmental protection engineering measures, dumpsites represent environmental and health risks that should be investigated. However, several dumpsites are abandoned without appropriate land-use management, difficulting their proper environmental assessment. The use of non-invasive methods for waste mass delimitation and preliminary screening of contamination plumes, such as geophysical methods, is an interesting alternative for the study of the environmental impacts caused by dumpsites. The aim of the present study is to apply electrical resistivity tomography (ERT) for the delimitation of the waste mass and the identification of anomalies related to the presence of alterations in the physical and chemical properties of soils and groundwater in an inactive dumpsite in the municipality of Miracatu, State of Sao Paulo, Brazil. The study was based on the use of the python software ResIPy, which uses an R family of ERT inversion codes. The 3D inversion of data showed a good correlation between the most electrically conductive anomalies and the delimitation of the waste mass. The behavior of these anomalies, associated with the presence of waste, was confirmed by the physical characterization of the geological materials obtained from drillings and installation of monitoring wells. The present study shows that the ERT inversion code for electrical data can be an interesting open-source alternative for data processing in complex scenarios: environments that present considerable anthropic interference, such as dumpsites.

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