Appropriate drinking water treatment processes for organic micropollutants removal based on experimental and model studies - A multi-criteria analysis study
KAUST DepartmentWater Desalination and Reuse Research Center (WDRC)
Biological and Environmental Sciences and Engineering (BESE) Division
Environmental Science and Engineering Program
Permanent link to this recordhttp://hdl.handle.net/10754/562565
MetadataShow full item record
AbstractThe 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. © 2012 Elsevier B.V.
JournalScience of the Total Environment
- QSAR models for the removal of organic micropollutants in four different river water matrices.
- Authors: Sudhakaran S, Calvin J, Amy GL
- Issue date: 2012 Apr
- Hybridization of natural systems with advanced treatment processes for organic micropollutant removals: new concepts in multi-barrier treatment.
- Authors: Sudhakaran S, Maeng SK, Amy G
- Issue date: 2013 Jul
- Selection of representative emerging micropollutants for drinking water treatment studies: a systematic approach.
- Authors: Jin X, Peldszus S
- Issue date: 2012 Jan 1
- Evaluation of contaminant removal of reverse osmosis and advanced oxidation in full-scale operation by combining passive sampling with chemical analysis and bioanalytical tools.
- Authors: Escher BI, Lawrence M, Macova M, Mueller JF, Poussade Y, Robillot C, Roux A, Gernjak W
- Issue date: 2011 Jun 15
- Occurrence and fate of pharmaceuticals and personal care products in drinking water in southern China.
- Authors: Qiao T, Yu Z, Zhang X, Au DW
- Issue date: 2011 Nov