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

Handle URI:
http://hdl.handle.net/10754/562565
Title:
Appropriate drinking water treatment processes for organic micropollutants removal based on experimental and model studies - A multi-criteria analysis study
Authors:
Sudhakaran, Sairam; Lattemann, Sabine; Amy, Gary L.
Abstract:
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. © 2012 Elsevier B.V.
KAUST Department:
Water Desalination and Reuse Research Center (WDRC); Biological and Environmental Sciences and Engineering (BESE) Division; Environmental Science and Engineering Program
Publisher:
Elsevier
Journal:
Science of the Total Environment
Issue Date:
Jan-2013
DOI:
10.1016/j.scitotenv.2012.09.076
PubMed ID:
23186618
Type:
Article
ISSN:
00489697
Appears in Collections:
Articles; Environmental Science and Engineering Program; Water Desalination and Reuse Research Center (WDRC); Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSudhakaran, Sairamen
dc.contributor.authorLattemann, Sabineen
dc.contributor.authorAmy, Gary L.en
dc.date.accessioned2015-08-03T10:42:58Zen
dc.date.available2015-08-03T10:42:58Zen
dc.date.issued2013-01en
dc.identifier.issn00489697en
dc.identifier.pmid23186618en
dc.identifier.doi10.1016/j.scitotenv.2012.09.076en
dc.identifier.urihttp://hdl.handle.net/10754/562565en
dc.description.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.en
dc.publisherElsevieren
dc.subjectDecision support systemsen
dc.subjectMulti-criteria analysisen
dc.subjectOrganic micro-pollutantsen
dc.subjectQuantitative structure activity relationshipen
dc.titleAppropriate drinking water treatment processes for organic micropollutants removal based on experimental and model studies - A multi-criteria analysis studyen
dc.typeArticleen
dc.contributor.departmentWater Desalination and Reuse Research Center (WDRC)en
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentEnvironmental Science and Engineering Programen
dc.identifier.journalScience of the Total Environmenten
kaust.authorSudhakaran, Sairamen
kaust.authorAmy, Gary L.en
kaust.authorLattemann, Sabineen
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