Journal
HELIYON
Volume 8, Issue 9, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.heliyon.2022.e10690
Keywords
Hydrochemisty; Water-rock interaction; K-means cluster analysis; Receptor model; Pansan coal mine; China
Categories
Funding
- Innovation Project of Anhui University of Science Technology [2022CX1001]
- 2021 Graduate Science Research Projects in Anhui Higher Education Institutions [YJS20210375, YJS20210378]
- Natural Science Foundation of Anhui Province [1908085ME145]
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This study collected groundwater samples from a coal mine and found that weathering of silicate minerals and cation exchange, sulfate dissolution, and chloride dissolution are the main processes controlling groundwater chemistry, and there is a hydraulic connection between LA and TA.
Understanding the groundwater hydrogeochemical processes and aquifer hydraulic connections are essential for effective prevention of water inrush in concealed coal mines. In this study, 40 groundwater samples were collected from the loose layer aquifer (LA), coal measure aquifer (CA), and limestone aquifer (LA) in the Pansan coal mine, Huanan coalfield, China, and the major ion concentrations were analyzed by bivariate diagrams (Na+ + K+ - Cl- versus Ca2+ + Mg2+ - SO42- - HCO3- and CAI-I versus CAI-II), multivariate statistical methods, and receptor model in order to identify the water-rock interactions and aquifer hydraulic connections. Piper diagram showed that groundwater in LA and TA was dominated by the Na-Cl type, while groundwater in CA was mainly of the Na-HCO3 type. Based on the results of bivariate diagrams and PCA/FA, weathering of silicate minerals and cation exchange (source 1), sulfate dissolution (source 2) and chloride dissolution (source 3) were the main processes controlling the groundwater chemistry. Unmix model revealed that the mean contribution of source 1 to CA samples was 74%, while LA and TA samples have higher contributions from evaporite dissolution (source 2 and source 3) relative to CA samples. Moreover, both clustering analysis methods (Q-type hierarchical and K-means cluster) confirmed the existence of a hydraulic connection between LA and TA in the northeastern part of the study area. It is concluded that the application of multivariate statistical analysis to interpret groundwater chemistry can provide useful guidance to prevent water inrush in coal mines.
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