2026-06-27T22:30:01Zhttps://docta.ucm.es/rest/oai/request
oai:docta.ucm.es:20.500.14352/722332024-06-13T15:21:20Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense author Ferri Moreno, Inmaculada author Barquero Peralbo, Jose Ignacio author Andreu Sánchez, Óscar author Higueras, Pablo author Roca Pérez, Luis author García Lorenzo, María de la Luz author Esbrí Víctor, José María 2023-06-22T11:14:06Z 2023-06-22T11:14:06Z 2023 2075-163X 10.3390/min13040492 https://hdl.handle.net/20.500.14352/72233 https://doi.org/10.3390/min13040492https://www.mdpi.com/2075-163X/13/4/492 Sulfide mining wastes may lead to severe environmental and human health risks. This study aims to use geochemical and ecotoxicological indicators for the assessment of the ecological risks of potentially toxic elements (PTEs) in the San Quintín mining group to categorize wastes prior to mining restoration. Ecotoxicity was evaluated using crustacean (Dahpnia magna, Thamnocephalus platyurus) and algae (Raphidocelis subcapitata) bioassays. The geochemical and mineralogical results suggested that the mining residues underwent intense weathering processes, with active processes of acidity generation and metal mobility. Total PTEs concentrations indicated that the mining materials were extremely polluted, with Pb, Zn and Cd geoaccumulation index (Igeo) values higher than 5 in more than 90% of the samples. The pollution load index (PLI) showed average values of 18.1, which classifies them as very highly polluted. The toxicity tests showed a higher toxicity for plants than crustaceans, being the highest values of toxicity related to toxic elements (Pb, Cd and Zn), electrical conductivity and to pH. This paper presents for the first time the combination of indices in the categorization of mining waste prior to its restoration. The combination of them has made it possible to categorize the waste and adapt the restoration and remediation procedures. eng Attribution 4.0 International Categorization of Mining Materials for Restoration Projects by Means of Pollution Indices and Bioassays journal article URL https://docta.ucm.es/bitstreams/8752aa60-7bed-4cad-bad8-b0c803299eba/download File MD5 76afea176c19d2ad434e870d3be32ee7 1253018 application/pdf Categorization of Mining Materials for Restoration Projects by Means of Pollution Indices and Bioassays.pdf URL https://docta.ucm.es/bitstreams/9891420a-8028-4001-b213-2b5c529edb0d/download File MD5 7fd611d77ebb6c014454e48b49edd689 65258 text/plain Categorization of Mining Materials for Restoration Projects by Means of Pollution Indices and Bioassays.pdf.txt