RT Journal Article
T1 Hydrochemical Characterization of an Acid Mine Effluent from Concepcion Mine Using Classical Statistic and Fuzzy Logic Techniques
A1 Santisteban Fernández, María
A1 Luís, Ana Teresa
A1 Grande Gil, José Antonio
A1 Aroba Páez, Javier
A1 Dávila Martín, José Miguel
A1 Miguel Sarmiento, Aguasanta
A1 Fortes Garrido, Juan Carlos
A1 Córdoba García, Francisco
A1 Rodríguez Pérez, Ángel Mariano
AB This work focuses on the physical-chemical characterization of a mining effluent affected byacid mine drainage (AMD) from its source to the confluence in the Odiel river, one of the most pollutedrivers by AMD worldwide, in order to understand the reactions involved in the modifications in thechemical characteristics of water and precipitates resulting from water–rock–atmosphere interactionin an environment highly affected by mining activity without corrective measures. The channelstarts in an open pit lake through one of the Concepción Mine main galleries, located in the IberianPyrite Belt, about 10 km northwest of Rio Tinto mining complex (southwest Spain). This galleryintercepts one of the largest and oldest underground mining work locations called “gallery Carmen”,allowing the exit of AMD affected waters. This channel is the first AMD polluting source in the Odielbasin. Thus, at the end of the rainy season, we conducted water sampling along this channel, from itssource to its mouth, to further analyse its characterization and interpret the cause–effect relationshipsthrough the application of Fuzzy Logic and classical statistics tools. The interdependent relationshipbetween the measured physicochemical parameters are set in order to propose a model, capable ofdescribing the evolution of contaminants in response to the processes and reactions taking placewithin the affected channel and the Odiel river. The present work concluded the existence of naturalattenuation processes for the mining channel, despite the entrances of other drainages in the AMDchannel with different hydrochemical characteristics imposing modifications on it. This indicates thatthese media have a high vulnerability to external stimuli
PB MDPI
SN 2075-163X (electrónico)
YR 2022
FD 2022
LK http://hdl.handle.net/10272/20888
UL http://hdl.handle.net/10272/20888
LA eng
NO Santisteban, M., Luís, A. T., Grande, J. A., Aroba, J., Dávila, J. M., Sarmiento, A. M., Fortes, J. C., Cordoba, F., & Rodriguez-Pérez, Á. M. (2022). Hydrochemical Characterization of an Acid Mine Effluent from Concepcion Mine Using Classical Statistic and Fuzzy Logic Techniques. In Minerals (Vol. 12, Issue 4, p. 464). MDPI AG. https://doi.org/10.3390/min12040464
DS Repositorio Institucional de la Universidad de Huelva
RD 13 jun 2026