ISSN 1000-3665 CN 11-2202/P

    某煤制油化工园区地下水污染特征分析

    Characteristics of groundwater contamination in a coal-to-liquids chemical industrial park

    • 摘要: 随着煤化工产业规模化发展,园区内高强度生产活动引发的地下水污染已成为亟待解决的难题。在污染源叠加和季节性水文波动的共同作用下,地下水中污染物的来源解析面临较大挑战。本研究于枯水期和丰水期在某煤制油化工园区分别采集20组地下水样品,系统分析其水化学组分时空分布特征,并基于正定矩阵因子分解模型对污染来源进行定量解析。结果表明:(1)研究区地下水整体呈中性至弱碱性,以淡水和硬水为主,各组分浓度普遍高于天然背景值。(2)枯水期Na+、SO42−和F-超标率分别为25%、20%和15%,丰水期SO42−和F-超标率分别为20%和10%。NH4+在枯水期个别样点超标。(3)Na+与SO42−高值区主要分布于渣场及生产区,F-、NH4+、Fe、Mn、Zn和As高值区覆盖整个园区。(4)正定矩阵因子分解模型识别出5类污染来源并量化了各源贡献率。Fe、Mn、Zn源于原煤矿物热解及煤矸石淋溶(26.92%)。F-源于地层矿物溶解、原煤热解、煤矸石易溶态氟释放和物料滴漏(20.07%)。As源于含砷矿物溶解、原煤热解废渣溶滤(20.01%)。Na+与SO42−源于脱硫废水、副产品洒落及废渣盐分淋溶(18.97%)。NH4+源于原煤有机氮热分解及渣场微生物转化(14.03%)。丰水期增强的降雨补给强化了污染物淋溶迁移过程,重塑了地下水污染源贡献格局及主控因子组成特征,使不同污染组分表现出差异化的水文响应机制。研究结果可为煤化工园区地下水污染精准管控提供科学依据。

       

      Abstract: With the rapid expansion of the coal chemical industry, groundwater contamination induced by intensive industrial activities in industrial parks has become an increasingly serious environmental concern. However, under the combined influence of multiple pollution sources and seasonal hydrological variations, accurately identifying the origins of groundwater pollution remains challenging. In this study, 20 groundwater samples were collected during both the dry and wet seasons in a coal-to-liquids chemical industrial park. Hydrochemical spatiotemporal characteristics were systematically analyzed, and positive matrix factorization model (PMF) was applied to quantitatively apportion pollution sources. The results indicate that groundwater in the study area is generally neutral to slightly alkaline, dominated by freshwater and hard water types, and that most ion concentrations exceed natural background levels. During the dry season, exceedance rates of Na+, SO42−, and F- were 25%, 20%, and 15%, respectively, while during the wet season, SO42− and F- exceeded 20% and 10%, respectively. NH4+ exceeded standards only at a few sites during the dry season. High concentrations of Na+ and SO42− were mainly distributed in the slag storage and production areas, whereas elevated levels of F-, NH4+, Fe, Mn, Zn, and As were observed across the entire industrial park. PMF model identified five major pollution sources and quantified their respective contribution rates. Fe, Mn, and Zn were mainly derived from coal mineral pyrolysis and coal gangue leaching (26.92%). F- originated from multiple processes, including dissolution of geological minerals, coal pyrolysis, release of readily soluble fluorine from coal gangue, and leakage of industrial materials (20.07%). As was primarily associated with the dissolution of arsenic-bearing minerals and the leaching of pyrolytic residues (20.01%). Na+ and SO42− were mainly controlled by desulfurization wastewater, by-product spillage, and salt leaching from solid wastes (18.97%). NH4+ originated from thermal decomposition of organic nitrogen in coal and microbial transformation in slag storage areas (14.03%). The enhanced rainfall recharge during the wet season intensified the leaching and transport of pollutants. Furthermore, it reshaped the contribution pattern of groundwater pollution sources and the composition of dominant controlling factors, resulting in differentiated hydrological responses among various contaminant components. These findings provide a robust scientific basis for the precise identification of multi-source groundwater contamination and for improving source-targeted pollution control strategies in coal chemical industrial parks.

       

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