EGU26-4796, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-4796
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Wednesday, 06 May, 08:30–10:15 (CEST), Display time Wednesday, 06 May, 08:30–12:30
 
Hall X4, X4.30
Electromagnetic induction characterization of soil contamination from the São Domingos Mine (Portugal)
Rui Jorge Oliveira1,2, Pedro Teixeira2,3, Gonçalo Rodrigues2,3, Miguel Potes2,3, Mariana Custódio4,5, Adriana Catarino4,5, Nadine Semedo4,5, José Fernando Borges2,3, Maria João Costa2,3, Patrícia Palma4,6,7, and Bento Caldeira2,3
Rui Jorge Oliveira et al.
  • 1University of Coimbra, CGeo - Geosciences Center, Department of Earth Sciences, Almada, Portugal (rui.oliveira@dct.uc.pt)
  • 2University of Évora, CREATE - Center for Sci-Tech Research in EArth sysTem and Energy, Évora, Portugal
  • 3University of Évora, Physics Department, Évora, Portugal
  • 4Polytechnic Institute of Beja, CREATE - Center for Sci-Tech Research in EArth sysTem and Energy, Beja, Portugal
  • 5Department of Technologies and Applied Sciences, Polytechnic Institute of Beja, Beja, Portugal
  • 6GeoBioTec, NOVA School of Science and Technology, Caparica, Portugal
  • 7Public Waters of Alentejo, Water Management Company, Beja, Portugal

The São Domingos Mine (Mértola, Portugal) is an abandoned sulfide mine. Heavy metal (HMs) contamination of the soil extends for approximately 20 km along a watercourse connected to a reservoir and two international rivers. Assessing the contamination is a slow process involving the collection of soil samples for HMs analysis.

The INCOME (Inputs for a more sustainable region – Instruments for managing metal-contaminated areas) project is an interdisciplinary study that aims to determine faster ways to obtain contamination maps using Artificial Intelligence techniques combining data from Geophysics, Chemistry Analysis, and Remote Sensing.

This approach allows to improve the sustainability of management of contaminants, which will drive optimization and reduce resources spent on sampling and analysis phases. Furthermore, the model aims to provide important real-time information for decision-making related to pollution monitoring and management. It also has high potential for replication in other contaminated environments, such as landfills, industries, or even intensive agriculture.

This work presents the results of electromagnetic induction surveys conducted in several sectors of the São Domingos Mine. The results are analyzed graphically, through shape analysis and compared with patterns observed in visible satellite imagery. Furthermore, the values ​​obtained for these shapes are also analyzed to attempt to establish correspondence with standard values ​​of the physical parameters of the contaminating materials present in the mine.

Acknowledgments: The work is 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, and by national funds through FCT, in the framework of the UID/06107/2025 – Centro de Investigação em Ciência e Tecnologia para o Sistema Terra e Energia (CREATE – University of Évora), and in the frame of UID/00073/2025 and UID/PRR/00073/2025 projects of the R&D unit of Geosciences Center (University of Coimbra, Portugal).

How to cite: Oliveira, R. J., Teixeira, P., Rodrigues, G., Potes, M., Custódio, M., Catarino, A., Semedo, N., Borges, J. F., Costa, M. J., Palma, P., and Caldeira, B.: Electromagnetic induction characterization of soil contamination from the São Domingos Mine (Portugal), EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4796, https://doi.org/10.5194/egusphere-egu26-4796, 2026.