Role of Humic Organic Compounds in Controlling Equilibrium Speciation of Elements in Lakes in the Kola Peninsula: Experimental and Computation Results

• Published in: Geochemistry international 2022, Vol.60 (1), p.67-77
• Main Authors: Dinu, M. I., Baranov, D. Yu
• Format: Article
• Language: English
• Subjects: Acids; Analysis; Anthropogenic factors; Computation; Copper; Discriminant analysis; Distilled water; Earth and Environmental Science; Earth Sciences; Experiments; Fulvic acids; Geochemistry; Heavy metals; Human influences; Lakes; Leaching; Metal ions; Mineral resources; Mines and mineral resources; Nickel; Organic compounds; Rock; Rocks; Soil; Soil formation; Speciation; Sulfuric acid; Sulphuric acid; Trace elements; Watersheds
• ISSN: 0016-7029; 1556-1968
• DOI: 10.1134/S0016702922010050

— The paper discusses variations in the migration activities of elements in parent rocks of soils under the effect of anthropogenic and geochemical factors. The unique geological characteristics and the diverse mineral resources of the study area predetermined the high susceptibility of water bodies in the Kola Peninsula to influences of parent soil-forming rocks at watersheds and to anthropogenic impacts. Selected typical alkaline and acid rocks of the area were used in static and dynamic experiments on leaching elements from these rocks. The extracting agents were doubly distilled water, sulfuric acid, solutions of fulvic acids, and solutions of fulvic acids after their degradation by sulfuric acid. The results show differences in the extraction of trace elements from rocks by the various extraction agents: the water extracts are characterized by the maximum recovery of some elements in experiments with alkaline rocks (the extraction Ni and Cu was four- and threefold greater than in the other experiments), and extracts by sulfuric acids from acid rocks resulted in higher concentrations of U (twofold) and Cu (less than one order of magnitude). Fulvic acids most strongly affect all of the studied rocks. According to data of discriminant analysis, the greatest contributions (with a coefficient close to 10) to the discrimination is made by the following parameters: trace elements of the La group, heavy-metal ions (Ni, Cu, and Pb), and pH.