Modeling of arsenic migration from the accumulated mining industrial waste along the soil profile
https://doi.org/10.21285/2541-9455-2019-42-2-144-150
Abstract
In view of the difficult situation in the country in recent years regarding the accumulated environmental damage, including that caused by arsenic-containing waste of mining and processing industry, there is an urgent need to develop a methodology to eliminate the social and environmental consequences of this negative impact. The article presents a study of the soil sorption properties for the Svirsk municipal district that has been long subject to the arsenic waste pollution. In the course of the experiments, the sorption capacity of various soils typical of the examined territory has been defined. The study has shown that among the studied soil types, the dense scaly brownish loamy soils are distinguished as having the highest sorption capacity. The soil with the capacity of 2 to 9 m has proved to be an important geo-ecological barrier prohibiting penetration of arsenic and heavy metals into the underlying aquifers. Using the obtained data, a computer model has been developed with the purpose to predict the arsenic spread in the soil. Based on the research results, the remediation technology for the Svirsk municipal district has been developed. Using the data on various soil types’ sorption capacity and the layer thickness, it is possible to identify the territory zones that have the highest potential for self-conservation i.e. immobilization of mobile arsenic forms in the natural geochemical barrier. The developed model of arsenic migration can be used for predicting the toxicant spread in other regions contaminated with arsenic-containing waste of mining and processing industries.
About the Author
O. L. Kachor
Irkutsk National Research Technical University
Russian Federation
Russian Federation
Cand. Sci. (Eng.), Associate Professor, Department of Mineral Processing and Environmental Protection, Institute of Subsoil Use
83, Lermontov St., Irkutsk, 664074, Russia
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Review
For citations:
Kachor O.L. Modeling of arsenic migration from the accumulated mining industrial waste along the soil profile. Earth sciences and subsoil use. 2019;42(2):144-150. (In Russ.) https://doi.org/10.21285/2541-9455-2019-42-2-144-150
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