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Appropriate drinking water treatment processes for organic micropollutants removal based on experimental and model studies - A multi-criteria analysis study


The presence of organic micropollutants (OMPs), Pharmaceuticals and personal care products (PPCPs) in potable water is of great environmental and public health concern. OMPs are included in the priority list of contaminants in United States EPA and European framework directives. Advanced treatment processes such as reverse osmosis, nanofiltration, ozonation and adsorption are the usual industry-recommended processes for OMPs removal, however, natural systems, e.g., riverbank filtration and constructed wetlands, are also potentially efficient options for OMPs removal. In this study, a decision support system (DSS) based on multi-criteria analysis (MCA) was created to compare processes for OMPs removal under various criteria. Multi-criteria analysis (MCA), a transparent and reliable procedure, was adopted. Models were built for both experimental and predicted percent-removals for a range of OMPs reflecting different physicochemical properties. The experimental percent-removals for several processes (riverbank filtration (RBF), ozonation, advanced oxidation, adsorption, reverse osmosis, and nanofiltration) were considered. The predicted percent-removals were taken from validated quantitative structure activity relationship (QSAR) models. Analytical methods to detect OMPs in water are very laborious, thus a modeling approach such as QSAR is an attractive option. A survey among two groups of participants including academics (PhD students and post-doctoral research associates) and industry (managers and operators) representatives was conducted to assign weights for the following criteria: treatability, costs, technical considerations, sustainability and time. The process rankings varied depending on the contaminant species and personal preferences (weights). The results indicated that RBF and oxidation were preferable over adsorption and membranes processes. The results also suggest that the use of a hybrid treatment process, e.g., combining a natural system with an advanced treatment (oxidation) process, may provide benefits for OMPs removal. The proposed DSS can be used as a screening tool for experimental planning or a feasibility study preceding the main treatment system selection and design. It can also be considered as an aid in assessing a multi-barrier approach to remove OMPs.......

【作者名称】: Sairam Sudhakaran, Sabine Lattemann, Gary L Amy
【作者单位】: King Abdullah University of Science and Technology, Water Desalination and Reuse Center, Building 4, level 4, 4231-WS11, Thuwal 23955-6900, Saudi Arabia, King Abdullah University of Science and Technology, Water Desalination and Reuse Center, Building 4, level 4, 4231-WS11, Thuwal 23955-6900, Saudi Arabia, King Abdullah University of Science and Technology, Water Desalination and Reuse Center, Building 4, level 4, 4231-WS11, Thuwal 23955-6900, Saudi Arabia
【关 键 词】: organic micro-pollutants, decision support systems, multi-criteria analysis, quantitative structure activity relationship
【期刊名称】: The Science of the Total Environment
【期刊论文数据库】: [DBS_Articles_02]
【期刊论文编号】: 110,182,799
【摘要长度】: 2,319
【上篇论文】: 外文期刊 - Mercury (Hg) burden in children: The impact of dental amalgam
【下篇论文】: 外文期刊 - OPTICAL METHODS TO STUDY THE DISPERSION OF POLLUTANTS IN POROUS MEDIA: CONSTRUCTION AND SETUP OF A PHYSICAL BIDIMENSIONAL MODEL METODI OTTICI PER LO STUDIO DELLA DISPERSIONE DI INQUINANTI IN MEZZI POROSI: COSTRUZIONE E MESSA A PUNTO DI UN MODELLO SPERIMENTALE BIDIMENSIONALE

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