School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran E-mail:
Water Sci Technol. 2020 May;81(10):2109-2126. doi: 10.2166/wst.2020.274.
One of the major pollutants in leachate is phenol. Due to safety and environmental problems, removal of phenol from leachate is essential. Most of the adsorption studies have been conducted in batch systems. Practically, large-scale adsorption is carried out in continuous systems. In this research, the adsorption method has been used for phenol removal from leachate by using walnut shell activated carbon (WSA) and coconut shell activated carbon (CSA) as adsorbents in a fixed-bed column. The effect of adsorbent bed depth, influent phenol concentration and type of adsorbent on adsorption was explored. By increasing the depth of the adsorbent bed in the column, phenol removal efficiency and saturation time increase significantly. Also, by increasing the influent concentration, saturation time of the column decreases. To predict the column performance and describe the breakthrough curve, three kinetic models of Yon-Nelson, Adams-Bohart and Thomas were applied. The results of the experiments indicate that there is a good match between the results of the experiment and the predicted results of the models.
渗滤液中的主要污染物之一是苯酚。由于安全和环境问题,必须从渗滤液中去除苯酚。大多数吸附研究都是在批量系统中进行的。实际上,大规模的吸附是在连续系统中进行的。在这项研究中,采用吸附法,以核桃壳活性炭 (WSA) 和椰子壳活性炭 (CSA) 为吸附剂,在固定床柱中从渗滤液中去除苯酚。考察了吸附剂床层深度、进水苯酚浓度和吸附剂种类对吸附的影响。通过增加柱中吸附剂床层的深度,苯酚去除效率和饱和时间显著增加。此外,随着进水浓度的增加,柱的饱和时间会缩短。为了预测柱的性能并描述穿透曲线,应用了 Yon-Nelson、Adams-Bohart 和 Thomas 三种动力学模型。实验结果表明,实验结果与模型预测结果吻合较好。