College of Water Sciences, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
J Hazard Mater. 2024 Sep 5;476:134952. doi: 10.1016/j.jhazmat.2024.134952. Epub 2024 Jun 17.
Natural attenuation (NA) is of great significance for the remediation of contaminated groundwater, and how to identify NA patterns of toluene in aquifers more quickly and effectively poses an urgent challenge. In this study, the NA of toluene in two typical soils was conducted by means of soil column experiment. Based on column experiments, dissolved organic matter (DOM) was rapidly identified using fluorescence spectroscopy, and the relationship between DOM and the NA of toluene was established through structural equation modeling analysis. The adsorption rates of toluene in clay and sandy soil were 39 % and 26 %, respectively. The adsorption capacity and total NA capacity of silty clay were large. The occurrence of fluorescence peaks of protein-like components and specific products indicated the occurrence of biodegradation. Arenimonas, Acidovorax and Brevundimonas were the main degrading bacteria identified in Column A, while Pseudomonas, Azotobacter and Mycobacterium were the main ones identified in Column B. The pH, ORP, and Fe(II) were the most important factors affecting the composition of microbial communities, which in turn affected the NA of toluene. These results provide a new way to quickly identify NA of toluene.
自然衰减(NA)对受污染地下水的修复具有重要意义,如何更快、更有效地识别含水层中甲苯的 NA 模式是一个紧迫的挑战。本研究通过土柱实验对两种典型土壤中的甲苯 NA 进行了研究。基于柱实验,利用荧光光谱法快速识别溶解性有机质(DOM),并通过结构方程模型分析建立 DOM 与甲苯 NA 的关系。甲苯在粘土和砂土中的吸附率分别为 39%和 26%。粉质粘土的吸附容量和总 NA 容量较大。出现类蛋白成分和特定产物的荧光峰表明发生了生物降解。在 A 柱中鉴定出的主要降解菌为 Arenimonas、Acidovorax 和 Brevundimonas,而在 B 柱中鉴定出的主要降解菌为 Pseudomonas、Azotobacter 和 Mycobacterium。pH、ORP 和 Fe(II) 是影响微生物群落组成的最重要因素,进而影响甲苯的 NA。这些结果为快速识别甲苯的 NA 提供了一种新方法。