Permeable Reactive Barrier of Coated Sand by Iron Oxide for Treatment of Groundwater Contaminated with Cadmium and Copper Ions

Mohammed B. Abdul-Kareem, Ayad A. H. Faisal
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引用次数: 4

Abstract

In this research, coated  sand  iron-oxide (CSIO)  has been used as a permeable reactive barrier (PRB) for removal of cadmium and copper  ions from the contaminated groundwater. The prepared material has been  manufactured by precipitation of nano-particles based this oxide type on the sand surfaces by impregnation process. Therefore, this technique can be considered the main objective of the present study. The description of sorption data for sorbate-sorbent under consideration by the Langmuir isotherm model was more valuable than the Freundlich model. The maximum adsorption capacity of CSIO reaches 1.9181 and 7.6425 mg/g for cadmium and copper respectively. COMSOL Multiphysics Version release 3.5 has a good ability in the simulation and prediction of the cadmium and copper transport through one-dimensional CSIO-PRB. The outcome of this investigation prove that the manufactured CSIO has significant capability in the delay of contaminants the migration through barrier packed with this material. The root means squared errors between predicted and measured data were not exceeded the 0.121; so, this means that there a good agreement between these data
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氧化铁包覆砂可渗透反应屏障处理镉铜污染地下水
采用包覆砂氧化铁(CSIO)作为可渗透反应屏障(PRB)去除污染地下水中的镉和铜离子。所制备的材料是通过浸渍工艺将基于该氧化物类型的纳米颗粒沉淀在砂表面制成的。因此,这项技术可以被认为是本研究的主要目标。Langmuir等温线模型对山梨酸-吸附剂吸附数据的描述比Freundlich模型更有价值。CSIO对镉和铜的最大吸附量分别为1.9181和7.6425 mg/g。COMSOL Multiphysics Version 3.5具有较好的模拟和预测一维CSIO-PRB中镉和铜输运的能力。该研究结果证明,制造的CSIO在延迟污染物通过该材料填充的屏障迁移方面具有显着的能力。预测数据与实测数据的均方根误差均未超过0.121;所以,这意味着这些数据之间有很好的一致性
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