Electrical resistivity imaging to monitor water infiltration and contamination risk assessment in tailings ponds

This study investigates the internal structure and water content variations of the abandoned tailings ponds in the Hiendelaencina Ag-mining district, Spain, using Electrical Resistivity Imaging (ERI). The objectives were to delineate the geometry of the tailings deposits and to assess the spatial an...

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Autores: Gómez Ortiz, David, Martín Velázquez, Silvia, Martín Crespo, Tomás, Rodríguez Santalla, Inmaculada, De Ignacio San José, Cristina, Martínez-Pagán, Pedro, Martínez Segura, Marcos
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/131222
Acceso en línea:https://hdl.handle.net/20.500.14352/131222
Access Level:acceso abierto
Palabra clave:556.3
Tailings ponds
Electrical resistivity imaging
Water content variations
Environmental monitoring
Hiendelaencina (Guadalajara)
Hidrología
2508.04 Aguas Subterráneas
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oai_identifier_str oai:docta.ucm.es:20.500.14352/131222
network_acronym_str ES
network_name_str España
repository_id_str
spelling Electrical resistivity imaging to monitor water infiltration and contamination risk assessment in tailings pondsGómez Ortiz, DavidMartín Velázquez, SilviaMartín Crespo, TomásRodríguez Santalla, InmaculadaDe Ignacio San José, CristinaMartínez-Pagán, PedroMartínez Segura, Marcos556.3Tailings pondsElectrical resistivity imagingWater content variationsEnvironmental monitoringHiendelaencina (Guadalajara)Hidrología2508.04 Aguas SubterráneasThis study investigates the internal structure and water content variations of the abandoned tailings ponds in the Hiendelaencina Ag-mining district, Spain, using Electrical Resistivity Imaging (ERI). The objectives were to delineate the geometry of the tailings deposits and to assess the spatial and temporal changes in water content within the ponds and the underlying geological units. The pollution risk assessment was evaluated as well. Six resistivity profiles were obtained during two separate field campaigns in September 2020 and May 2021, allowing for a comparison of resistivity data under different moisture conditions. The results revealed three distinct resistivity zones corresponding to the tailings, Cenozoic sedimentary deposits, and the underlying metamorphic basement, respectively. Temporal variations in resistivity indicates significant changes in water content between the two field campaigns, with increased water infiltration following spring rainfall. While no direct soil moisture measurements were available for calibration, the ERI results provide robust qualitative insights into relative water content changes and infiltration pathways. Notably, the fractured metamorphic basement showed higher water saturation, indicating vertical and lateral water flow from the tailings. These findings suggest that the tailings ponds are not impermeable, with water infiltrating into deeper layers, potentially transferring pollutants into the groundwater system. The study highlights the effectiveness of ERI as a non-invasive tool for investigating mining sites and provides important insights into the hydrological behavior of mine tailings, which is critical for environmental monitoring and risk assessment.Institut de Ciències de la Terra Jaume AlmeraUniversidad Complutense de Madrid20252025-12-2320252025-12-23journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/131222reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-sa/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1312222026-06-02T12:44:21Z
dc.title.none.fl_str_mv Electrical resistivity imaging to monitor water infiltration and contamination risk assessment in tailings ponds
title Electrical resistivity imaging to monitor water infiltration and contamination risk assessment in tailings ponds
spellingShingle Electrical resistivity imaging to monitor water infiltration and contamination risk assessment in tailings ponds
Gómez Ortiz, David
556.3
Tailings ponds
Electrical resistivity imaging
Water content variations
Environmental monitoring
Hiendelaencina (Guadalajara)
Hidrología
2508.04 Aguas Subterráneas
title_short Electrical resistivity imaging to monitor water infiltration and contamination risk assessment in tailings ponds
title_full Electrical resistivity imaging to monitor water infiltration and contamination risk assessment in tailings ponds
title_fullStr Electrical resistivity imaging to monitor water infiltration and contamination risk assessment in tailings ponds
title_full_unstemmed Electrical resistivity imaging to monitor water infiltration and contamination risk assessment in tailings ponds
title_sort Electrical resistivity imaging to monitor water infiltration and contamination risk assessment in tailings ponds
dc.creator.none.fl_str_mv Gómez Ortiz, David
Martín Velázquez, Silvia
Martín Crespo, Tomás
Rodríguez Santalla, Inmaculada
De Ignacio San José, Cristina
Martínez-Pagán, Pedro
Martínez Segura, Marcos
author Gómez Ortiz, David
author_facet Gómez Ortiz, David
Martín Velázquez, Silvia
Martín Crespo, Tomás
Rodríguez Santalla, Inmaculada
De Ignacio San José, Cristina
Martínez-Pagán, Pedro
Martínez Segura, Marcos
author_role author
author2 Martín Velázquez, Silvia
Martín Crespo, Tomás
Rodríguez Santalla, Inmaculada
De Ignacio San José, Cristina
Martínez-Pagán, Pedro
Martínez Segura, Marcos
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 556.3
Tailings ponds
Electrical resistivity imaging
Water content variations
Environmental monitoring
Hiendelaencina (Guadalajara)
Hidrología
2508.04 Aguas Subterráneas
topic 556.3
Tailings ponds
Electrical resistivity imaging
Water content variations
Environmental monitoring
Hiendelaencina (Guadalajara)
Hidrología
2508.04 Aguas Subterráneas
description This study investigates the internal structure and water content variations of the abandoned tailings ponds in the Hiendelaencina Ag-mining district, Spain, using Electrical Resistivity Imaging (ERI). The objectives were to delineate the geometry of the tailings deposits and to assess the spatial and temporal changes in water content within the ponds and the underlying geological units. The pollution risk assessment was evaluated as well. Six resistivity profiles were obtained during two separate field campaigns in September 2020 and May 2021, allowing for a comparison of resistivity data under different moisture conditions. The results revealed three distinct resistivity zones corresponding to the tailings, Cenozoic sedimentary deposits, and the underlying metamorphic basement, respectively. Temporal variations in resistivity indicates significant changes in water content between the two field campaigns, with increased water infiltration following spring rainfall. While no direct soil moisture measurements were available for calibration, the ERI results provide robust qualitative insights into relative water content changes and infiltration pathways. Notably, the fractured metamorphic basement showed higher water saturation, indicating vertical and lateral water flow from the tailings. These findings suggest that the tailings ponds are not impermeable, with water infiltrating into deeper layers, potentially transferring pollutants into the groundwater system. The study highlights the effectiveness of ERI as a non-invasive tool for investigating mining sites and provides important insights into the hydrological behavior of mine tailings, which is critical for environmental monitoring and risk assessment.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-12-23
2025
2025-12-23
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/131222
url https://hdl.handle.net/20.500.14352/131222
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-sa/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institut de Ciències de la Terra Jaume Almera
publisher.none.fl_str_mv Institut de Ciències de la Terra Jaume Almera
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869420752403431424
score 15,81155

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