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Título
Estimating Mercury and Arsenic Release from the La Soterraña Abandoned Mine Waste Dump (Asturias, Spain): Source-Term Reconstruction Using High-Accuracy UAV Surveys and Historical Topographic Data
Autor(es)
Palabras clave
mercury
arsenic
mining
waste dump
High-Accuracy UAV Surveys
drone
Clasificación UNESCO
3318 Tecnología Minera
2511 Ciencias del Suelo (Edafología)
3308 Ingeniería y Tecnología del Medio Ambiente
Fecha de publicación
2025-10-08
Editor
MDPI
Citación
Salgado, L.; Colina, A.; Vega, A.; Lara, L.M.; Rodríguez-Valdés, E.; Gallego, J.R.; Khouri, E.A.; Forján, R. Estimating Mercury and Arsenic Release from the La Soterraña Abandoned Mine Waste Dump (Asturias, Spain): Source-Term Reconstruction Using High-Accuracy UAV Surveys and Historical Topographic Data. Land 2025, 14, 2016. https://doi.org/10.3390/land14102016
Resumen
[EN]The waste dump from the abandoned La Soterraña mine, a former mercury extraction site, contains high concentrations of mercury (Hg) and arsenic (As), which pose a significant environmental risk due to direct exposure to the environment. Given the site’s topography and slope, surface runoff has been identified as the primary mechanism for the dispersal of these toxic elements into nearby watercourses. This study quantifies the amount of Hg and As released into fluvial systems through surface runoff from the waste dump. Historical topographic data, Airborne Laser Exploration Survey public data from the National Plan for Aerial Orthophotographs (1st PNOA-LiDAR) of the Spanish Ministry of Transport, Mobility and Urban Agenda, and high-precision photogrammetric drone surveys were utilized, with centimeter-level accuracy achieved using airborne GNSS RTK positioning systems on the drone. The methodology yields reliable results when comparing surfaces generated from topographic data collected with consistent methodologies and standards. Analysis indicates an environmental release exceeding 1000 kg of mercury (Hg) and 12,000 kg of arsenic (As) between 2019 and 2023, based on high spatial resolution data (GSD = 8 cm). These findings highlight a sustained temporal contribution of chemical contaminants, which imposes serious environmental and biological health risks due to persistent exposure to toxic elements.
URI
DOI
10.3390/ land14102016
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