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Comprehensive multimetal isotopic model for regional-scale water management in a mining city: Tracing contamination sources, pathways, and geochemical processes using Cu, Mo, S-O, and Zn isotopes.

作者信息

Kim Duk-Min, Batsaikhan Bayartungalag, Yun Seong-Taek, Im Dae-Gyu, Seo Hyeon-Soo

机构信息

Department of Civil and Environmental Engineering, Sangji University, Wonju, Gangwon-do 26339, Republic of Korea.

Department of Earth and Environmental Sciences, Korea University, Seoul 02841, Republic of Korea; Institute of Geography and Geoecology, Mongolian Academy of Sciences, Ulaanbaatar 15170, Mongolia.

出版信息

J Hazard Mater. 2025 Aug 15;494:138562. doi: 10.1016/j.jhazmat.2025.138562. Epub 2025 May 9.

Abstract

Major mining cities worldwide have been suffering from diverse contamination sources such as tailings, mine drainages, geology enriched with toxic metals, and other industrial and domestic sources. This study established a multi-isotopic comprehensive model for elucidating water contamination sources and geochemical reactions in the city of Erdenet in Mongolia. The Erdenet city was contaminated with As, Cu, Mo, Zn, and SO, and we used isotopes of Cu, Mo, Zn, and S-O in SO. Contamination sources for groundwater and surface water were differentiated as tailings dump, excavated ore, heap leaching, ash pond of a power plant, and argillic alteration zone. Groundwater in the residential area was influenced by the argillic alteration zone, as indicated by low δS and high δCu values, while δZn fingerprints may have been masked by adsorption and mixing. Additionally, δMo fingerprints from two major Mo contamination sources (the ash pond and tailings dump) were evident in the stream. The tailings dump substantially impacted δCu, δMo, and δZn values in the stream, with isotopic fractionation occurring through oxidative dissolution and adsorption. Furthermore, to assess oxidative dissolution of sulfides and adsorption, δCu and δMo+ δZn were found to be particularly useful, respectively. This study highlights the effectiveness of multimetal isotopic ratios in tracing contamination sources and geochemical processes in regions with diverse contaminants, presenting a robust spatial model for isotopic fingerprinting.

摘要

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