Fate of Heavy Metals in the Surface Water-Dump Rock System of the Mine Lupikko I (Karelia): Field Observations and Geochemical Modeling

• Published in: Water
• Main Authors: Evgeniya S. Sidkina, Evgeniya A. Soldatova, Elena V. Cherkasova, Artem A. Konyshev, Sofia S. Vorobey, Mikhail V. Mironenko
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2022
• Subjects: mine water; pollution; abandoned mine; dissolution kinetics; numerical model; Pitkäranta area; Hydraulic engineering; TC1-978; Water supply for domestic and industrial purposes; TD201-500; Pitkäranta; karelia*
• Online Access: https://doi.org/10.3390/w14213382; https://doaj.org/article/0583b420e19e4348b1bbd6596c96f896

Abandoned mines are sources of potentially toxic chemical elements, although the development of these objects was completed. The Lupikko I mine area (Karelia Republic, Russia) is an excellent example of such technogenic objects. It is one of the largest mines in the Pitkäranta area, which was abandoned more than one hundred years ago. The dump rocks here are characterized by significant mineral diversity. Disseminated ore mineralization of the study area contains heavy metals, which enter the natural waters due to the oxidative dissolution of sulfides. Dump rocks and water from the Lupikko I mine area were collected to research the behavior of toxic elements. The samples were analyzed using ICP-MS, ICP-AES, potentiometric titration, ionic chromatography, X-ray microanalysis, X-ray fluorescence, and SEM to obtain information about the geochemical environment. According to new data, the content of Fe, Zn, Cu, Pb, Cd, and Ni in the natural waters of the mine significantly exceeds the geochemical background. For a more detailed study of the behavior of heavy metals, equilibrium-kinetic modeling, which considers the dissolution rate of ore minerals and the accumulation of toxic elements over time, was applied. A comparison of modeling data and field observations agreed. It was also found that for accurate modeling of Fe behavior, it is necessary to consider the organic matter content. Despite some model limitations, such retrospective assessments allow us to approve the applicability of this method for forecasting estimates.