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To address the severe water inflow issue in the underground workings of the Mingniwan Phosphate Mine in Guizhou, after confirming substantial water loss from the surface river, water samples were collected from six underground water inflow points, the dolomite aquifer, and the Yangshui River for hydrochemical analysis. Six hydrochemical components, Ca²⁺, Mg²⁺, Na⁺+K⁺, , Cl^- and , were selected as discrimination indicators. The Piper trilinear diagram combined with Grey Relational Analysis (GRA) was applied to identify the sources of underground water inflow. The results show that the hydrochemical types of water samples from the Yangshui River, the 368 m grit chamber, the 490 m water sump, the 440 m goaf, the 524 m water sump, and the 520 m drift are all type, while those from the 650 m main slope surface and the dolomite aquifer are type. The water inflow source in the 440 m goaf is most likely from the Yangshui River, with the highest correlation degree of 0.94. The 650 m main slope surface shows the lowest correlation with the Yangshui River, but its correlation degree with the dolomite aquifer reaches 0.86, indicating a strong correlation, suggesting that the dolomite aquifer is a highly probable water inflow source. The Piper-GRA combined analysis method provides an effective technical solution for identifying water inflow sources and can serve as a scientific basis for subsequent formulation of water prevention and control measures.

, authors=Maoxin Liu^{1, 2}, Yiping Zhang³, Lulin Zheng³, authorsList=Maoxin Liu, Yiping Zhang, Lulin Zheng, authorCompany=null, correspAuthors=Yiping Zhang, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321895023113781440, articleId=1321895020874023086, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=基于Piper-GRA的矿井涌水水源识别研究, columnId=1226462295417598973, journalTitle=矿业研究与开发, columnName=矿山安全与环保, runingTitle=null, highlight=null, articleAbstract=

为解决贵州明泥湾磷矿井下出现的大量涌水问题，在确定地表河流水量出现大量损失的情况下，采集井下6个涌水点、白云岩含水层及洋水河的水样进行水化学特征分析。选取Ca²⁺、Mg²⁺、Na⁺+K⁺、、Cl^-、共6种水化学成分作为判别指标，应用Piper三线图结合灰色关联分析（GRA）的方法判别井下涌水水源。结果表明，洋水河、368 m沉砂池、490 m水仓、440 m采空场、524 m水仓、520 m平巷水样的水化学类型均为型，650 m主斜坡面与白云岩含水层水样为型；440 m采空场涌水水源为洋水河水流的可能性最大，与洋水河关联度最高，为0.94；650 m主斜坡面与洋水河关联度最低，但与白云岩含水层关联度达0.86，属强关联等级，表明其涌水水源为白云岩含水层的可能性较高。Piper-GRA联合分析法为涌水来源识别提供了有效技术方案，可为后续制定防治水措施提供科学依据。

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刘茂新（1989—），男，贵州石阡人，硕士，高级工程师，主要从事地质勘查、矿产资源开发与管理研究。E-mail:978948028@qq.com

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刘茂新（1989—），男，贵州石阡人，硕士，高级工程师，主要从事地质勘查、矿产资源开发与管理研究。E-mail:978948028@qq.com

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