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The paper describes a new technique for processing experimental data on sorption capacity (E) of variously composed natural soils in relation to heavy metals in aqueous solutions. The calculation scheme is based on an inhomogeneous system of equations, compiled from the data on mineral composition of soils and the E values. Such a system of equations was compiled for the experimental data on the sorption characteristics of natural soils (as suspensions) with respect to Cu2+ ions (of up to 1000 mg/l) from CuSO4·5H2O solutions. The highest sorption characteristics with respect to Cu2+ ions from solutions of CuSO4·5H2O were associated with uneven-grained aggregates of calcite and chlorite followed by quartz and montmorillonite; dolomite and hydromica had the lowest sorption characteristics.
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