Sources and mixing of sulfate contamination in the water environment of a typical coal mining city, China: evidence from stable isotope characteristics

Chen, Xing; Zheng, Lu; Dong, Xuhui; Jiang, Chunlu; Wei, Xiangping

doi:10.1007/s10653-020-00525-2

Cited by 27 publications

(16 citation statements)

References 34 publications

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“…Nitrate ( n = 303, range = <5–11,100 μg/L, med = 200 μg/L; WQO for total oxidised N = <60 μg/L) sources in surface waters may include nitrate salts from mining explosives or agricultural fertilisers as well as nitrification of organic N from cattle feedlot effluent (Hendry et al, 2018; Weiner, 2013). Sulfate ( n = 340, range = <1–663 mg/L, med = 12 mg/L; WQO = <10 mg/L) sources in surface waters may include dissolution from minerals, fertiliser run‐off, and point source release of coal‐mine affected waste waters (Chen, Zheng, Dong, Jiang, & Wei, 2020; Weiner, 2013). Hence, PC‐3 may represent the fluctuating input of these two anthropogenic stressors to this aquatic environment.…”

Section: Resultsmentioning

confidence: 99%

“…Hence, PC‐3 may represent the fluctuating input of these two anthropogenic stressors to this aquatic environment. Isotopic monitoring such as that conducted by Hendry et al (2018), Chen et al (2020), Ren, Pan, Zeng, and Jiao (2017) and Fadhullah et al (2020) could help further elucidate the sources of sulfate and nitrate within the system.…”

Section: Resultsmentioning

confidence: 99%

“…fertiliser run-off, and point source release of coal-mine affected waste waters(Chen, Zheng, Dong, Jiang, & Wei, 2020;Weiner, 2013).Hence, PC-3 may represent the fluctuating input of these two anthropogenic stressors to this aquatic environment. Isotopic monitoring such as that conducted byHendry et al (2018),Chen et al (2020),Ren, Pan, Zeng, and Jiao (2017) andFadhullah et al (2020) could help further elucidate the sources of sulfate and nitrate within the system.The total metal variables with high PC-1 loadings included metals that are found in some of the major element oxides (i.e., Al 2 O 3 , Fe 2 O 3 , MnO), and trace elements(Co, Cr, Cu, Ni and Zn) known to be present in Fitzroy River Basin flood and catchment soil samples(Douglas et al, 2008). Unsurprisingly, these elements were grouped together with the variables, turbidity and TSS.…”

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confidence: 99%

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Partial least squares regression models to predict contaminant concentrations during high or low flow of coal mine‐affected rivers

Jones

Vicente-Beckett

Chapman

et al. 2022

River Research & Apps

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Exploratory analysis of existing multivariate river water datasets can provide useful insights during river basin research and can be used to identify important environmental variables and data suitable for concentration prediction models. In this work, a large dataset pertaining to coal mining areas of the Fitzroy River Basin, Australia, was used to demonstrate principal component analysis and partial least squares regression (PLS) modelling. In this example, a strong association between variables confirmed that that sodium was a major ion responsible for electrical conductivity across this vast river basin (PC-1). Suspected effects of dilution, evapoconcentration, and the influence of anthropogenic inputs on concentrations of nitrogen, sulfate and dissolved metals were also elucidated (PC-2 and PC-3). PLS models of a Comet, Nogoa, Mackenzie Rivers-subset indicated turbidity, dissolved Fe, total Ni, Co and Mn concentrations were not as variable during high flow as during low flow. Conductivity, sulfate and sodium concentrations were negatively correlated (>j0.7j) with total suspended solids (TSS) and several total and dissolved metals during both river conditions. Dissolved Al and Fe had a strong inverse relationship with total Fe and total Co concentrations during high flow. These relationships can be investigated further during future targeted monitoring and analysis. This work provided detailed methodology for development of concentration predictions models for parameters of environmental interest. Specifically, TestSet validated PLS models for dissolved Al (± 5.6 μg/L) and TSS (± 4.6 mg/L), and random Cross Validation models for TSS concentration (± 4.0 mg/L) during low flow and (± 3.5 mg/L) during high flow were produced.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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confidence: 99%

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Partial least squares regression models to predict contaminant concentrations during high or low flow of coal mine‐affected rivers

Jones

Vicente-Beckett

Chapman

et al. 2022

River Research & Apps

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“…Water contamination with sulfate not only threatens human health and ecological functions, but also affects carbonate weathering and the evolution of the global carbon and nitrogen cycles [ 16 , 17 , 18 , 19 ]. It has been reported that the concentration of SO 4 2− in the surface water of the coal mining area was high, over 250 mg/L, and sulfate contamination of the groundwater has also been noted [ 20 , 21 ]. For the utilization and protection of regional water resources, it is of great significance to understand the sources and transformation processes of sulfate under the effect of mining.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Chen et al [ 39 ] revealed the hydrochemical characteristics and spatial–temporal evolution mechanisms of a multiaquifer groundwater system disturbed by mining operations. Chen et al [ 21 ] focused on the comparison of water chemistry and sulfur and oxygen isotopes between natural surface water (river water) and contaminated mine subsidence water and traced the source of sulfate in the river and subsidence water in the mining area. The above research has laid a solid foundation for this study.…”

Section: Introductionmentioning

confidence: 99%

Tracing Sulfate Source and Transformation in the Groundwater of the Linhuan Coal Mining Area, Huaibei Coalfield, China

Cheng

Jiang

et al. 2022

IJERPH

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Mining activities cause surface sulfate enrichment, which has negative impacts on human health and ecosystems. These high concentrations of sulfate may enter groundwater through the unsaturated zone (UZ), threatening groundwater quality. Therefore, we combined hydrochemical and dual isotopic analyses of sulfate in surface water, soil water and groundwater with evaluations of the UZ to identify the groundwater sulfate source and transformation in the coal mining area. Soil profile samples were collected near gangue heaps (UZ−1, UZ−2) and the mean sulfate concentrations of the UZ−1 profile and UZ−2 profile were 35.4 mg/L and 69.63 mg/L, respectively. The shallow groundwater sulfate was mainly from dissolution of evaporite, sulfide oxidation and sewage. Different sulfate contaminated areas showed different characteristics of sulfate sources. The sulfate source to groundwater near the coal gangue heaps was sulfide oxidation. The groundwater sulfate near the gangue heaps and industrial park compound contamination area was mainly derived from industrial and domestic sewage and sulfide oxidation. In addition, the role of bacterial sulfate reduction (BSR) in the groundwater was not obvious. This research result is of great significance for promoting the safe mining of coal resources and sustainable utilization of groundwater in the Huaibei coal mining area and other coal mining areas in China.

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Combining hydrochemistry and 13C analysis to reveal the sources and contributions of dissolved inorganic carbon in the groundwater of coal mining areas, in East China

Jiang

et al. 2023

Environ Geochem Health

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Sources and mixing of sulfate contamination in the water environment of a typical coal mining city, China: evidence from stable isotope characteristics

Cited by 27 publications

References 34 publications

Partial least squares regression models to predict contaminant concentrations during high or low flow of coal mine‐affected rivers

Partial least squares regression models to predict contaminant concentrations during high or low flow of coal mine‐affected rivers

Tracing Sulfate Source and Transformation in the Groundwater of the Linhuan Coal Mining Area, Huaibei Coalfield, China

Combining hydrochemistry and 13C analysis to reveal the sources and contributions of dissolved inorganic carbon in the groundwater of coal mining areas, in East China

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