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A multi expert decision support tool for the evaluation of advanced wastewater treatment trains: A novel approach to improve urban sustainability

Sadr, Seyed M.K., Saroj, Devendra, Mierzwa, Jose Carlos, McGrane, Scott J., Skouteris, George, Farmani, Raziyeh, Kazos, Xenofon, Aumeier, Benedikt, Kouchaki, Samaneh and Ouki, Sabeha K. (2018) A multi expert decision support tool for the evaluation of advanced wastewater treatment trains: A novel approach to improve urban sustainability Environmental Science and Policy, 90. pp. 1-10.

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Abstract

Wastewater Treatment (WWT) for water reuse applications has been accepted as a strategic solution in improving water supplies across the globe; however, there are still various challenges that should be overcome. Selection of practical solutions is then required whilst considering technical, environmental, socio-cultural, and financial factors. In this study, a multi expert decision support tool that considers a variety of evaluation criteria is proposed to provide a ranking system for competing advanced WWT technologies in terms of their performance. Two scenarios of water reuse in the contexts of Brazil and Greece are defined, and evaluation is undertaken based on opinions of water reuse experts. The results prove that the tool would successfully facilitate rigorous and methodical analysis in evaluation of WWT technologies for water reuse applications with potential for use under various sets of evaluation criteria, WWT technologies and contexts.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
NameEmailORCID
Sadr, Seyed M.K.
Saroj, DevendraD.Saroj@surrey.ac.uk
Mierzwa, Jose Carlos
McGrane, Scott J.
Skouteris, George
Farmani, Raziyeh
Kazos, Xenofon
Aumeier, Benedikt
Kouchaki, Samaneh
Ouki, Sabeha K.
Date : 24 September 2018
DOI : 10.1016/j.envsci.2018.09.006
Copyright Disclaimer : © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Depositing User : Melanie Hughes
Date Deposited : 02 Oct 2018 10:01
Last Modified : 25 Sep 2019 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/849479

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