Hydrochemical Analysis of Groundwater in Coastal Coal Mining Areas—A Case Study of the Liangjia Coal Mine, North China

Chen, Shaojie; Liu, Jiutan; Feng, Wang; Zhou, Jingkui; Peng-fei, Tang; Gao, Zongjun

doi:10.1007/s10230-022-00855-w

Cited by 7 publications

(5 citation statements)

References 27 publications

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“…Coupled with a series of mineral dissolution, anion and cation exchange, and redox reactions, it will directly change the original characteristics of the hydrochemical components of the mine water and have a more significant impact on water quality (Tu et al, 2022). The source of Na is generally human production activities near the surface of the mine (Chen et al, 2022). Na's influence is smaller relative to the mine water, resulting in its relatively small comprehensive weight.…”

Section: Resultsmentioning

confidence: 99%

“…The above extracted three common factors mainly express the close relationship between the original water sample data and the mineral oxidation factor, the human activity factor, and the mineral dissolution factor, and the representative variables of the three common factors are also the main influencing factors in mine water pollution (Chen et al, 2022; Tu et al, 2022). Therefore, the initial seven water quality indicators were analyzed by FA dimension reduction, and six indicators (SO 4 2− , Fe, Al, Mn, Na, and F − ) were finally selected as the final indicators for this mine water quality evaluation.…”

Section: Resultsmentioning

confidence: 99%

“…Among them, Mn is mainly derived from the dissolution of manganese‐containing minerals (Obiora et al, 2019). In contrast, Na is primarily derived from human‐induced production activities in the vicinity of mines (Chen et al, 2022), so this type of factor is classified as a mineral dissolution factor and a human activity factor. In common factor 3, F − (0.953), which has a significant loading coefficient, was used as a representative variable.…”

Section: Resultsmentioning

confidence: 99%

“…The coefficients of variation of SO 4 2− , Al, Mn, Cl − , Mg, and Ca were 0.33, 0.75, 0.98, 0.99, 0.65, and 0.51, respectively, which indicated that they were of medium variability and had a wide range of sources. Among them, SO 4 2− mainly comes from the dissolution of sulfate‐containing minerals and the discharge of mine wastewater (Chen et al, 2022); Al, Mn, and Cl − mainly come from the dissolution of various metal minerals and salt rocks (Chen et al, 2022), and Mg and Ca mainly come from the dissolution of carbonate rocks (Chen et al, 2022). Besides, the coefficients of variation of the rest of the indicators were all greater than 1, which belonged to strong variability, and their distribution on each water sample was more different.…”

Section: Discussmentioning

confidence: 99%

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Construction and application of a composite model for acid mine drainage quality evaluation based on analytic hierarchy process, factor analysis and fuzzy comprehensive evaluation: Guizhou Province, China, as a case

Han,

Li,

Yang

et al. 2024

Water Environment Research

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The process of mining activities often causes the formation of acid mine drainage (AMD). Through rock fractures and underground rivers, AMD can easily enter the groundwater environment near mines and cause serious pollution to water quality. In order to effectively evaluate the quality of polluted mine water and to understand its threat to the ecosystem around the mine. In this study, four AMD pollution distribution areas, Guiyang City, Bijie City, Qianxinan Prefecture, and Qiandongnan Prefecture in Guizhou Province, were used as the study area. A composite model for mine water quality evaluation was constructed using factor analysis (FA), analytic hierarchy process (AHP), and fuzzy comprehensive evaluation (FCE). Furthermore, by introducing the weighted average method and the level characteristic value (J), the water quality type and the water body environmental quality were evaluated comprehensively, respectively. Compared with the traditional evaluation model, the AHP‐FA‐FCE model has obvious advantages in the selection of evaluation indicators, the determination of indicator weights, and the comprehensive evaluation of water quality types, and the evaluation results obtained are more reasonable and accurate. Three common factors mainly controlled by mineral oxidation factor, human activity factor, and mineral dissolution factor were extracted by dimension reduction of the original hydrochemical data by FA. The water quality of the mine water samples was evaluated using SO42−, Fe, Al, Mn, Na, and F− as evaluation indicators, and the results showed that the mine water samples in the study area as a whole were dominated by class V water, which accounted for 77.78% of the total. Based on the statistical analysis of the original data, it was found that influenced by the water–rock interactions in the study area and the AMD pollution components, the hydrochemical type of the mine water is mainly SO42−‐Ca‐Mg type. The water body environmental quality of mine water in four areas, Guiyang City, Qianxinan Prefecture, Bijie City, and Qiandongnan Prefecture, is from excellent to poor. The average level characteristic value of all the areas is more than 3, and the overall environmental quality of the water body is poor. The strong water–rock interaction and mining activities in the study area may be the main cause of AMD pollution. The results of this study may provide some theoretical reference for the water quality evaluation of AMD‐polluted areas.Practitioner Points A composite model for mine water quality evaluation was constructed. A factor analysis‐based evaluation indicator selection method is proposed. This study improved the weighting process of the traditional fuzzy comprehensive evaluation. A water quality discriminant based on the weighted average method is proposed. The water environmental quality of various types of mine water was evaluated.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussmentioning

confidence: 99%

See 2 more Smart Citations

Construction and application of a composite model for acid mine drainage quality evaluation based on analytic hierarchy process, factor analysis and fuzzy comprehensive evaluation: Guizhou Province, China, as a case

Han,

Li,

Yang

et al. 2024

Water Environment Research

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“…Coal mining can give rise to significant ecological and environmental issues on the surface, including surface subsidence, structural damage of buildings, and loss of surface water resources [1][2][3][4][5]. The primary reason for these issues is the instability of the overlying strata beam, resulting from coal extraction [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Study on the Partial Paste Backfill Mining Method in a Fully Mechanized Top-Coal Caving Face: Case Study from a Coal Mine, China

Du,

Chen,

et al. 2024

Sustainability

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Paste backfill mining is an significant part of green coal mining, which can improve resource utilization and extend the service life of mines. It is important for solving the “three under, one above” mining problem and avoiding industrial wastes such as coal gangue and fly ash that occupy farmland and pollute the environment. To address the difficult filling problem of a fully mechanized top-coal caving face (FMT-CCF), a new method of partial paste backfill mining is herein proposed. First, the partial paste backfill mining method and implementation steps of the FMT-CCF are introduced in detail. Then, the mechanistic model of the roof beam in partial paste backfill mining is established. Then, the filling structural factors on the filling effect of the 42105 FMT-CCF are determined. Dependent on the assay of the migration law of overlying stratum after filling, numerical simulation analysis is used to research the feature effect of the main filling structural factors on the filling effect. Finally, the paste filling rate, filling width, and filling strength suitable for the 42105 FMT-CCF are obtained. When the filling rate reaches 100%, a significant alteration takes place, resulting in the efficient decrease of the overlying rock stress arch shell’s height. As the width of the filling body expands from 10 m at each end to 20 m, the stress arch of the overlying rock experiences maximum reduction, specifically decreasing by approximately 14 m. When the strength of the filling body is greater than 0.4 GPa, the filling effect is better. This study has important guidance and reference significance for the partial paste backfill of FMT-CCF in thick seam mining.

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Hydrochemical characterization and health risk assessment of different types of water bodies in Fenghuang Mountain Area, Northeast China

Zhang,

Wang,

Wang

et al. 2024

Environ Geochem Health

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Hydrochemical Analysis of Groundwater in Coastal Coal Mining Areas—A Case Study of the Liangjia Coal Mine, North China

Cited by 7 publications

References 27 publications

Construction and application of a composite model for acid mine drainage quality evaluation based on analytic hierarchy process, factor analysis and fuzzy comprehensive evaluation: Guizhou Province, China, as a case

Construction and application of a composite model for acid mine drainage quality evaluation based on analytic hierarchy process, factor analysis and fuzzy comprehensive evaluation: Guizhou Province, China, as a case

Study on the Partial Paste Backfill Mining Method in a Fully Mechanized Top-Coal Caving Face: Case Study from a Coal Mine, China

Hydrochemical characterization and health risk assessment of different types of water bodies in Fenghuang Mountain Area, Northeast China

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