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Fingerprinting two metal contaminants in streams with Cu isotopes near the Dexing Mine, China

机译:在中国德兴矿附近用铜同位素指纹识别流中的两种金属污染物

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Transition metal isotope signatures are becoming useful for fingerprinting sources in surface waters. This study explored the use of Cu isotope values to trace dissolved metal contaminants in stream water throughout a watershed affected by mining by-products of the Dexing Mine, the largest porphyry Cu operation in Asia. Cu isotope values of stream water were compared to potential mineral sources of Cu in the mining operation, and to proximity to the known Cu sources. The first mineral source, chalcopyrite, CuFeS_2 has a 'tight' cluster of Cu isotope values (-0.15‰ to +1.65‰; +037 ± 0.6‰, 1σ, n = 10), and the second mineral source, pyrite (FeS_2), has a much larger range of Cu isotope values (- 4‰ to +11.9‰; 2.7 ± 4.3‰, 1 σ, n = 16). Dissolved Cu isotope values of stream water indicated metal derived from either chalcopyrite or pyrite. Above known Cu mineralization, stream waters are approximately + 1.5‰ greater than the average chalcopyrite and are interpreted as derived from weathering of chalcopyrite. In contrast, dissolved Cu isotope values in stream water emanating from tailings piles had Cu isotope values similar to or greater than pyrite (>+6%o, a common mineral in the tailings). These values are interpreted as sourced from the tailings, even in solutions that possess significantly lower concentrations of Cu (<0.05 ppm). Elevated Cu isotope values were also found in two soil and two tailings samples (δ~(65)Cu ranging between + 2 to + 5‰). These data point to the mineral pyrite in tailings as the mineral source for the elevated Cu isotope values. Therefore, Cu isotope values of waters emanating from a clearly contaminated drainage possess different Cu isotope values, permitting the discrimination of Cu derived from chalcopyrite and pyrite in solution. Data demonstrate the utility of Cu isotopic values in waters, minerals, and soils to fingerprint metallic contamination for environmental problems.
机译:过渡金属同位素特征对于地表水中的指纹来源变得越来越有用。这项研究探索了使用铜同位素值来追踪受亚洲最大的斑岩铜矿Dexing Mine开采副产品影响的流域中流水中溶解的金属污染物的情况。将河水中的铜同位素值与采矿作业中潜在的铜矿源以及与已知铜源的邻近程度进行了比较。第一矿物源黄铜矿CuFeS_2具有Cu同位素值的“紧密”簇(-0.15‰至+1.65‰; + 037±0.6‰,1σ,n = 10),第二矿物源黄铁矿(FeS_2)的Cu同位素值范围更大(-4‰至+ 11.9‰; 2.7±4.3‰,1σ,n = 16)。溪流水中溶解的铜同位素值表示金属来源于黄铜矿或黄铁矿。在已知的铜矿化之上,溪流水比黄铜矿的平均含量高约+ 1.5‰,并被解释为源自黄铜矿的风化作用。相比之下,从尾矿堆中排出的溪流水中溶解的Cu同位素值具有等于或大于黄铁矿(> + 6%o,尾矿中的常见矿物)的Cu同位素值。这些值被解释为源自尾矿,即使在具有明显较低的Cu浓度(<0.05 ppm)的溶液中也是如此。在两个土壤和两个尾矿样品(δ〜(65)Cu范围在+2到+ 5‰之间)中也发现了Cu同位素值的升高。这些数据表明,尾矿中的硫铁矿是铜同位素值升高的矿物源。因此,从明显污染的排水中流出的水的Cu同位素值具有不同的Cu同位素值,从而可以区分溶液中的黄铜矿和黄铁矿中的Cu。数据表明,水,矿物质和土壤中的铜同位素值可用于识别环境问题的金属污染物。

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