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Updated: Feb 12, 2026

Preparation of Authigenic Pyrite from Methane-bearing Sediments for In Situ Sulfur Isotope Analysis Using SIMS
Published on: August 31, 2017
Source identification and coastal export of sulfate in a megacity river: Insights from sulfur isotopes and inverse
Xuehui Liu1, Guilin Han1, Jinke Liu1
1State Key Laboratory of Geomicrobiology and Environmental Changes, Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing, 100083, China; Frontiers Science Center for Deep-time Digital Earth, China University of Geosciences (Beijing), Beijing, 100083, China.
Abstract:
Excessive sulfate (SO42-) flow into marginal seas through megacity rivers, posing a significant threat to the ecological environment of marginal seas. Tracing and quantifying the source of SO42- are essential for maintaining the health and stability of marine ecosystems. This study reported SO42- concentrations and δ34SSO4 in the Yongding River, a typical megacity river discharging into the sea in northern China. The SO42- concentrations averaged 147 mg·L-1, with δ34SSO4 values ranging from +5.85‰ to +14.99‰. Based on hydrochemical indicators and ion ratios, six potential sources were identified (agriculture, sewage, industry, precipitation, evaporite, and sulfide oxidation). A Monte Carlo inverse model integrating δ34SSO4 and ionic ratios was applied to quantify source contributions. Results show that natural weathering (61%) dominates upstream, while anthropogenic inputs (75%) increase downstream, with sewage and industry sources contributing 41% and 33%, respectively. Sulfide oxidation intensifies near reservoirs, suggesting enhanced oxidation driven by water regulation. Total SO42- flux increased longitudinally, with an estimated annual export of 2.31 × 10-4 Tmol yr-1 to the Bohai Sea. Over 70% of SO42- flux originated from anthropogenic sources, highlighting the critical role of human activities in disrupting sulfur cycling in marginal sea. A hydrology-load-redox (H-L-R) framework was proposed to emphasize the importance of multi-factor coordination in pollution control and land-sea integrated watershed management. This study demonstrates that inverse model holds significant promise for application in complex human-dominated systems, offering a viable approach to strengthen pollutant tracing and risk assessment in marginal marine environments.
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