Zeng Hui, Arashiro Maiko, Giammar Daniel E
Department of Energy, Environmental and Chemical Engineering, Center for Materials Innovation, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130, USA.
Water Res. 2008 Nov;42(18):4629-36. doi: 10.1016/j.watres.2008.08.014. Epub 2008 Aug 27.
Arsenate removal from water using an iron oxide-based sorbent was investigated to determine the optimal operating conditions and the influence of water composition on treatment efficiency. The novel sorbent with a high surface area was studied in flow-through column experiments conducted at different flow rates to quantify the effect of empty bed contact time (EBCT) on treatment performance. Arsenic removal efficiency declined with decreasing EBCT. Arsenic breakthrough curves at different EBCT values were successfully simulated with a pore and surface diffusion model (PSDM). Surface diffusion was the dominant intraparticle mass transfer process. The effect of water composition on arsenic removal efficiency was evaluated by conducting experiments with ultrapure water, ultrapure water with either phosphate or silica, and a synthetic groundwater that contained both phosphate and silica. Silica was more inhibitory than phosphate, and the silica in synthetic groundwater controlled the arsenic removal efficiency.
研究了使用基于氧化铁的吸附剂从水中去除砷酸盐,以确定最佳操作条件以及水的组成对处理效率的影响。在不同流速下进行的流通柱实验中,对具有高比表面积的新型吸附剂进行了研究,以量化空床接触时间(EBCT)对处理性能的影响。随着EBCT的降低,砷去除效率下降。利用孔隙和表面扩散模型(PSDM)成功模拟了不同EBCT值下的砷突破曲线。表面扩散是主要的颗粒内传质过程。通过用超纯水、含有磷酸盐或二氧化硅的超纯水以及同时含有磷酸盐和二氧化硅的合成地下水进行实验,评估了水的组成对砷去除效率的影响。二氧化硅比磷酸盐的抑制作用更强,合成地下水中的二氧化硅控制着砷的去除效率。