EGU25-7010, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-7010
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Monday, 28 Apr, 16:15–18:00 (CEST), Display time Monday, 28 Apr, 14:00–18:00
 
Hall X4, X4.52
Geophysical and geospatial characterization of mining heaps of the São Domingos Mine (Mértola, Portugal)
Rui Jorge Oliveira1,2,3, Bento Caldeira1,2,3, José Fernando Borges1,2,3, Pedro Teixeira1,2,3, Gonçalo Rodrigues1,2,3, Maria João Costa1,2,3, Patrícia Palma1,4,5, Mariana Custódio1,4, Adriana Catarino1,4, and Nadine Semedo4
Rui Jorge Oliveira et al.
  • 1University of Évora, CREATE - Center for Sci-Tech Research in EArth sysTem and Energy, Évora, Portugal (ruio@uevora.pt)
  • 2University of Évora, Physics Department, Évora, Portugal
  • 3University of Évora, Earth Remote Sensing Laboratory – EaRSLab, Évora, Portugal
  • 4Polytechnic Institute of Beja, Department of Technologies and Applied Sciences, Beja, Portugal
  • 5NOVA School of Science and Technology, GeoBioTec, Campus da Caparica, Caparica, Portugal

The São Domingos Mine (Mértola, Portugal) is an abandoned sulphide mine whose exploitation has had a long-term impact on its soil and water contamination problem covering an area of ​​approximately a length of 20 km and a width of 2 km. The mining heaps are spread along a watercourse that flows into the Chança River dam, which merges with the Guadiana River, both international rivers. This constitutes a serious environmental problem leading to contamination by heavy metals (HMs). Contamination assessment is a slow process that involves collecting soil samples for HMs analysis.

The study of mining heaps using geophysical and geospatial methods allows us to determine their depth and the volume of accumulated materials, as well as their characterization in relation to soils contaminated by HMs. We propose the use of electromagnetic induction, electrical resistivity tomography and GNSS methods to carry on the analysis.

This work is part of an interdisciplinary study that is being carried out within the scope of the INCOME Project (Inputs for a more sustainable region – Instruments for managing metal-contaminated areas). The aim is to combine data from Geophysics, Chemistry and Remote Sensing to create a tool, using Artificial Intelligence, that allows the calculation of contamination maps using less data than standard methodologies.

This is a sustainable management model that will increase optimization and reduce resources spent in the sampling and analysis phases. Moreover, the model aims to provide important real-time information for decision-making subjected to monitoring and managing pollution. It also has a high replication potential for other contaminated environments, such as landfills, industry or even intensive agriculture.

Funding: The work was supported by the Promove Program of the “la Caixa” Foundation, in partnership with BPI and the Foundation for Science and Technology (FCT), in the scope of the project INCOME – Inputs para uma região mais sustentável: Instrumentos para a gestão de zonas contaminadas por metais (Inputs for a more sustainable region: Instruments for managing metal-contaminated areas), PD23-00013. Acknowledgment: CREATE Project (R&D Unit ID 6107).

How to cite: Oliveira, R. J., Caldeira, B., Borges, J. F., Teixeira, P., Rodrigues, G., Costa, M. J., Palma, P., Custódio, M., Catarino, A., and Semedo, N.: Geophysical and geospatial characterization of mining heaps of the São Domingos Mine (Mértola, Portugal), EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7010, https://doi.org/10.5194/egusphere-egu25-7010, 2025.