Malaga Municipal Water Company, (EMASA). 29016 Malaga, Spain.
Department of Chemical Engineering, Faculty of Sciences, University of Malaga, 29071 Malaga, Spain.
J Contam Hydrol. 2021 Dec;243:103888. doi: 10.1016/j.jconhyd.2021.103888. Epub 2021 Sep 16.
The presence of polycyclic aromatic hydrocarbons (PAHs) in water poses a serious threat to the human health due to their toxic effects. Therefore, the removal of these compounds from drinking water in Potable Water Treatment Plants (PWTPs) should be evaluated and optimized to assure the quality of water intended for human consumption. In this work, changes in PAHs levels during drinking water treatment processes have been monitored to evaluate the effectiveness of conventional processes in the removal of these recalcitrant pollutants. Several chemical treatment methods based on the addition of KMnO, FeCl and NaClO were evaluated through jar tests. The analysis of PAH content of aqueous samples was carried out by gas chromatography coupled with mass spectrometry. The highest removal efficiency, over 90%, was obtained for benzo(a)anthracene, benzo(a)pyrene and dibenzo(a,h)anthracene. The most recalcitrant compounds to degradation were fluorene, anthracene, phenanthrene and flouranthene with reduction rates between 45 and 57%. The conventional treatment processes assessed have been proved to be effective reducing the PAH below the legal limits of drinking water quality. The definition of a parameter based on chemical properties of PAHs, i.e., sorption capacity and energy required to remove an electron, enabled the prediction of removal rate of pollutants which represents a valuable information for the plant operation.
水中多环芳烃(PAHs)的存在因其毒性效应对人类健康构成严重威胁。因此,应评估和优化饮用水处理厂(PWTP)中从饮用水中去除这些化合物的方法,以确保供人类消费的水的质量。在这项工作中,监测了饮用水处理过程中 PAHs 水平的变化,以评估常规工艺去除这些难降解污染物的效果。通过 jar 测试评估了几种基于添加 KMnO4、FeCl 和 NaClO 的化学处理方法。通过气相色谱-质谱联用分析水样中的 PAH 含量。对于苯并(a)蒽、苯并(a)芘和二苯并(a,h)蒽,去除效率最高,超过 90%。最难降解的化合物是芴、蒽、菲和荧蒽,降解率在 45%至 57%之间。评估的常规处理工艺已被证明可有效降低饮用水质量标准以下的 PAH 含量。基于 PAHs 化学性质(即吸附能力和去除一个电子所需的能量)定义的参数可用于预测污染物的去除率,这为工厂运行提供了有价值的信息。