Environmental Effects of Water Product from Coalbed Methane Wells: A Case Study of the Songhe Well Group, Western Guizhou, China

Large-scale fumaric acid chemical brownfield sites have posed a significant obstacle to environmental safety, public safety, and the redevelopment of brownfield sites. A comprehensive study was conducted to determine the main pollution indicators, soil pollution characteristics, and the multiple potential risks to the environment and the ecosystem of a fumaric acid brownfield site in northwestern China. The results showed that 1,2,3-trichloropropane(1,2,3-TCP) was the primary pollutant at the fumaric acid brownfield site. The atmospheric volatile organic compounds (VOCs) in this brownfield site did not exceed the Chinese standard limits. The soil contamination was more severe within the site, with a total of about 30 VOCs detected, including the uncommon brominated pollutants. The level of longitudinal soil contamination decreased with increasing soil depth. The distillation area was more contaminated with a maximum exceedance multiple of 11,291.8. The longitudinal contamination depths in the distillation and reactor zones were 10.0 m and 4.0 m, respectively. Soil texture and production processes are considered to be one of the influencing factors for the depth of vertical soil contamination. Our findings heighten the awareness of brownfield site soil contamination and provide a reference for contamination controls and the comprehensive management of fumaric acid brownfield sites.

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“…The single factor index method was used to evaluate the pollution level of a single pollutant with the following evaluation formula [20,21]:…”

Section: Evaluation Methods Of the Situation Of Brownfield Contaminationmentioning

confidence: 99%

Characterization and Assessment of Organic Pollution at a Fumaric Acid Chemical Brownfield Site in Northwestern China

Yang

Chen

et al. 2022

Sustainability

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“…The higher its pollution level, the greater the threat to the environment and health of the water body. Therefore, the internationally used single‐factor pollution risk index method was chosen to evaluate the pollution risk of the water samples in this study, which can be found in the literature (Yang et al, 2021). The method divides the pollution level of the indicator into five types: P i

\leq

1, no pollution; 1

<

P i

\leq

2, slight pollution; 2

<

P i

\leq

3, mild pollution; 3

<

P i

\leq

5, moderate pollution; P i

>

5, severe pollution (Yang et al, 2021).…”

Section: Discussmentioning

confidence: 99%

“…And no pollution exceeds the standard for F − and Na of water sample 15. Therefore, water sample 15 was slightly better polluted than water samples 13 and 14 (Yang et al, 2021). In addition, according to the results of the evaluation of the water body environmental quality in this study, it can be seen that the J ‐value of water sample 15 is 3.99, and the J ‐values of water samples 13 and 14 are 4.83 and 4.16, respectively, which indicates that the three water samples' water body environmental quality is from good to bad as water sample 15, water sample 14, and water sample 13.…”

Section: Discussmentioning

confidence: 99%

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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Interference Analysis of Methane Co-Production from Two Coal Seams in Southern Qinshui Basin

et al. 2022

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Environmental Effects of Water Product from Coalbed Methane Wells: A Case Study of the Songhe Well Group, Western Guizhou, China

Cited by 11 publications

References 21 publications

Characterization and Assessment of Organic Pollution at a Fumaric Acid Chemical Brownfield Site in Northwestern China

Characterization and Assessment of Organic Pollution at a Fumaric Acid Chemical Brownfield Site in Northwestern China

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

Interference Analysis of Methane Co-Production from Two Coal Seams in Southern Qinshui Basin

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