In-situ activation of persulfate by emplaced magnetite nanoparticles for degradation of 1,2-dichloroethane in porous media

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-10-10 DOI:10.1016/j.watres.2024.122574
Wei Chen, Peng Cui, Lian Zhou, Han Zheng, Xude Zhao, Guansheng Liu, Juntao Zhang, Hua Zhong
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Abstract

In this study, column experiments were conducted to explore on the method of emplacement of magnetite nanoparticles (MNPs) for in situ activation of persulfate (PS) in sand porous media to degrade 1,2-dichloroethane (DCA), a typical recalcitrant chlorinated compound. Different molar ratios between PS and DCA (0:1, 2:1, 5:1 and 20:1) and mass contents of MNPs in the sand (0%, 1.9% and 5.4%) were tested. In the absence of MNPs, degradation of DCA was negligible for a hydraulic retention time of 7 h. Presence of MNPs at the content of 1.9% enhanced degradation of DCA and the highest removal efficiency (34.2%) was observed at the PS-to-DCA molar ratio of 5:1. At the MNPs content of 5.4%, increase of the PS-to-DCA molar ratio from 2:1 to 20:1 lead to not only increase in DCA removal efficiency but also substantial enhancement in chloride production, indicating that high PS concentration could cause significant degradation of the Cl-containing intermediates. In contrast to MNPs, Fe3O4 solids with much larger size (∼1 μm) were much less effective in activating PS for DCA removal even at a significantly higher content in the medium. The transport data could be well fitted by the one-site chemical nonequilibrium model, which showed kinetic DCA sorption to the MNPs as a key process for the transport. In the long-term injection experiment, a stable and significant removal of DCA (∼50%) was observed for 254 days at the MNP content of 1.9 %. The results of this study show the potential of MNPs as a sustainable PS activator in injection-based in situ chemical oxidation for groundwater remediation.

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在多孔介质中通过植入磁铁矿纳米颗粒原位活化过硫酸盐以降解 1,2 二氯乙烷
本研究通过柱实验探索了在砂质多孔介质中原位活化过硫酸盐(PS)以降解 1,2-二氯乙烷(DCA)(一种典型的难降解氯化化合物)的磁铁矿纳米粒子(MNPs)置放方法。测试了 PS 和 DCA 之间不同的摩尔比(0:1、2:1、5:1 和 20:1)以及砂中 MNPs 的质量含量(0%、1.9% 和 5.4%)。在没有 MNPs 的情况下,DCA 的降解在水力停留时间为 7 小时时可以忽略不计。MNPs 含量为 1.9% 时,DCA 的降解增强,当 PS 与 DCA 的摩尔比为 5:1 时,观察到最高的去除效率(34.2%)。在 MNPs 含量为 5.4% 时,PS 与 DCA 的摩尔比从 2:1 增加到 20:1,不仅提高了 DCA 的去除效率,还大大增加了氯化物的生成量,这表明高浓度 PS 可显著降解含 Cl 的中间产物。与 MNPs 相反,尺寸更大(1 μm)的 Fe3O4 固体在激活 PS 去除 DCA 方面的效果要差得多,即使介质中的 PS 含量明显更高。单位点化学非平衡模型很好地拟合了迁移数据,表明 MNPs 对 DCA 的动力学吸附是迁移的关键过程。在长期注入实验中,当 MNP 含量为 1.9% 时,二氯苯甲醚在 254 天内都有稳定而显著的去除率(∼50%)。这项研究结果表明,在注入式原位化学氧化地下水修复中,MNP 具有作为可持续 PS 活性剂的潜力。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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