Evidence map›Paper›PMID 42428846›Full record

ArticleACS omega2026

Hydrogeochemical Characteristics and Water Quality Assessment of the Carboniferous Shanxi Formation Sandstone Water in the Huafeng Coal Mine Using an Integrated GTCWM-FCE-TOPSIS Framework.

Mei Qiu, Jie Dong, Tongju Xing, Ping Sun, Liandong Wang, Jianhe Yang

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Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mei QiuCollege of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.ORCID https://orcid.org/0009-0008-0786-174X
Jie DongKey Laboratory of Geological Safety of Coastal Urban Underground Space, Ministry of Natural Resources, Qingdao Geo-Engineering Surveying Institute, Qingdao 266101, China.
Tongju XingKey Laboratory of Geological Safety of Coastal Urban Underground Space, Ministry of Natural Resources, Qingdao Geo-Engineering Surveying Institute, Qingdao 266101, China.
Ping SunKey Laboratory of Geological Safety of Coastal Urban Underground Space, Ministry of Natural Resources, Qingdao Geo-Engineering Surveying Institute, Qingdao 266101, China.
Liandong WangShandong Provincial No. 4 Institute of Geological and Mineral Survey, Weifang 261021, China.
Jianhe YangShandong Fifth Institute of Geological and Mineral Exploration, Tai'an 271000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater in coal mining areas is extensively extracted to prevent coal roof water inrush, generating substantial volumes of mine water that must be properly managed and treated. Accurate hydrochemical assessment is therefore crucial for developing effective strategies for water resource protection and utilization. This study proposes an integrated groundwater quality assessment framework that synergistically combines the game theory combinatorial weighting method (GTCWM) with fuzzy comprehensive evaluation (FCE) and Order Preference by Similarity to an Ideal Solution (TOPSIS). Within this framework, GTCWM reconciles subjective weights derived from the analytic hierarchy process (AHP) with objective weights from the entropy weight method (EWM) through game theory optimization, providing a balanced weighting strategy for subsequent evaluation. FCE is then applied to classify water quality into discrete categories, while TOPSIS enables refined ranking of samples within the same quality class, thereby complementing the classification with finer differentiation. The framework was applied to assess the Carboniferous Shanxi Formation sandstone aquifer in the Huafeng coal mine. Results reveal severe groundwater quality degradation, with all samples exceeding Class V standards for TDS and 77.3% exceeding Class V for total hardness (TH). Na

Identifiers

PMID42428846
PMCPMC13347360

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