Combining metal and sulfate isotopes measurements to identify different anthropogenic impacts on dissolved heavy metals levels in river water. (January 2023)

• Record Type: Journal Article
• Authors: Zhang, Cong; Zhang, Dong; Duan, Hui-zhen; Zhao, Zhi-qi; Zhang, Jun-wen; Huang, Xing-yu; Ma, Bing-juan; Zheng, De-shun
• Is Part Of: Chemosphere. Volume 310(2023)
• Publication Date: 2023-01
• Subjects: Dissolved heavy metals -- Source appointment -- Sulfate sulfur and oxygen isotopes -- Bayesian isotope mixing model -- Luohe river and Yihe river basin; Pollution -- Periodicals; Pollution -- Physiological effect -- Periodicals; Environmental sciences -- Periodicals; Atmospheric chemistry -- Periodicals; 551.511
• DOI: 10.1016/j.chemosphere.2022.136747
• Languages: English
• ISSNs: 0045-6535

Abstract

Abstract: Dissolved heavy metals (DHMs) contamination has raised global concern for ecological and human health development. Weathering of sulfide-bearing ore metals can produce acidic, sulfate-rich solutions in the presence of water and oxygen (O2 ), and DHMs are released to deprave the river water quality. Sulfur and oxygen isotope signatures ( δ 34 SSO4 and δ 18 OSO4 ) could identify this pyrite-derived sulfate; however, it is yet not well known whether the δ 34 SSO4 and δ 18 OSO4 values could limit the DHMs sources and illustrate anthropogenic impacts on DHMs along the river corridor. We tried to solve this problem through field works in the Luohe River and Yihe River, two tributaries of the Yellow River, China, where metal sulfide mine activities mostly occurred upstream, but agricultural and domestic behaviors concentrated in the lower plain reaches. In the Luohe River upper areas, δ 34 SSO4 values had negative correlations with concentrations of cadmium (Cd) (p < 0.01), nickel (Ni) (p < 0.05), molybdenum (Mo) (p < 0.01), uranium (U) (p < 0.01), and SO4 2− (p < 0.01). However, as the δ 34 SSO4 values increased downstream in the Luohe River, concentrations of copper (Cu) (p < 0.05), mercury (Hg) (p < 0.05), Ni (p < 0.05), and SO4 2− (p < 0.01) simultaneously elevated. The Bayesian Isotope Mixing Model (BIMM) results via δ 34 SSO4 values demonstrated 64.3%–65.3% of SO4 2− from acid mine drainage (AMD) in the Luohe River's upper reaches and 63.5%–67.7% in the Yihe River's upper reaches, and about 33% from sewage and industrial effluents in the Luohe River's lower reaches and 27% in Yihe River's lower reaches. Our results confirmed the different anthropogenic impacts on the DHMs concentrations in Luohe River and Yihe River and provided a robust method for DHMs sources appointment and pollution management in river systems. Graphical abstract: Image 1 Highlights: Mo and SO4 2− concentrations had negative relations with δ 34 SSO4 values in the upstream. Sulfide mine drainage contributed 64% to 68% of upstream riverine SO4 2− . Sewage and industrial effluents exported 27%–33% of downstream riverine SO4 2− . δ 34 SSO4 and δ 18 OSO4 values could be used to distinguish different anthropogenic metal inputs.