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dc.contributor.authorSadr, SMK
dc.contributor.authorJohns, MB
dc.contributor.authorMemon, FA
dc.contributor.authorMorley, M
dc.contributor.authorSavic, D
dc.date.accessioned2019-02-18T13:27:13Z
dc.date.issued2018-07-06
dc.description.abstractThe selection of suitable wastewater treatment solutions is a complex problem that requires the careful consideration of many factors. With water at a premium and water consumption increasing, India is facing a challenging time ahead, requiring effective water treatment solutions. The Wastewater Decision Support Optimiser (WiSDOM) presented here is a user-friendly software package designed to aid in the formulation and configuration of wastewater systems in developing countries such as India. WiSDOM employees advanced multi-objective optimisation and decision analysis techniques to identify optimal wastewater treatment options. It has been demonstrated that WiSDOM can adapt to a wide array of scenarios, considering a range of contributing factors (technical, environmental, economic and social), enabling an engineer to make more informed decisions.en_GB
dc.identifier.citationHIC2018 – 13th International Hydroinformatics Conference, 1 - 6 July 2018, Palermo, Italyen_GB
dc.identifier.urihttp://hdl.handle.net/10871/35974
dc.language.isoenen_GB
dc.publisherInternational Hydroinformatics Conferenceen_GB
dc.relation.urlhttps://www.hic2018.org/en_GB
dc.rights© 2018 International Hydroinformatics Conferenceen_GB
dc.subjectDecision support systemsen_GB
dc.subjectMulti criteria analysisen_GB
dc.subjectMulti objective optimizationen_GB
dc.subjectWastewater management in Indiaen_GB
dc.subjectWater reuse applicationsen_GB
dc.titleDevelopment and Application of a User-Friendly Decision Support Tool for Optimization of Wastewater Treatment Technologies in Indiaen_GB
dc.typeConference paperen_GB
dc.date.available2019-02-18T13:27:13Z
dc.descriptionThis is the author accepted manuscripten_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2018-07-01
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2018-07-01
rioxxterms.typeConference Paper/Proceeding/Abstracten_GB
refterms.dateFCD2019-02-17T16:11:57Z
refterms.versionFCDAM
refterms.dateFOA2019-02-18T13:27:15Z
refterms.panelBen_GB


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