水文地质工程地质2025，Vol.52Issue(5)：65-77,13.DOI:10.16030/j.cnki.issn.1000-3665.202504047
陶枣煤田闭坑矿井硫酸盐污染预测及防控研究
Prediction and prevention of sulfate pollution from abandoned mines in the Taozao coalfield
摘要
Abstract
Coal mining has posed severe threats to groundwater resources,particularly in abandoned mines where mine water interacts with karst aquifers.Focusing on the Taozao coalfield in Shandong Province,this study investigates the spatial distribution,evolution mechanisms,and migration pathways of sulfate pollution in post-mining groundwater systems.By integrating isotope tracing,Bayesian mixing models,hydrogeochemical analysis,and random forest regression,this study systematically identifies sulfate sources,transport dynamics,and future trends.Results show that pyrite oxidation is the dominant source of sulfate,intensified by mining-induced fractures that expose sulfide minerals to oxygen-rich conditions,while gypsum dissolution contributes locally.Mine water migrates into karst aquifers primarily through the Dalyuxiang Fault and floor fractured zones.A random forest model predicts minor fluctuations in sulfate concentrations over the next decade,with total dissolved solids(TDS)as a key influencing factor.To mitigate pollution,this study proposes a"source-pathway-receptor"control framework involving shaft sealing,grouting barriers,and constructed wetlands for sulfate removal and water reuse.This work provides scientific insights and practical strategies for sustainable groundwater management in coal-mining regions.关键词
闭坑矿井/岩溶水/硫酸盐污染/同位素溯源/随机森林模型/陶枣煤田Key words
abandoned mine/karst water/sulfate pollution/isotope tracing/random forest model/Taozao coalfield分类
天文与地球科学引用本文复制引用
孟宪洲,王天娇,张丰,安洪岩,沈祥瑞,肖华,王博伦,陈浩..陶枣煤田闭坑矿井硫酸盐污染预测及防控研究[J].水文地质工程地质,2025,52(5):65-77,13.基金项目
国家重点研发计划项目(2023YFC3710000 （）
2023YFC3710005) （）
