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A decision support system for indirect potable reuse based on integrated modeling and futurecasting

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dc.contributor.authorLodhi, A.G.en
dc.contributor.authorGodrej, Adil N.en
dc.contributor.authorSen, D.en
dc.contributor.authorAngelotti, R.en
dc.contributor.authorBrooks, M.en
dc.contributor.departmentCivil and Environmental Engineeringen
dc.date.accessioned2019-12-19T17:37:48Zen
dc.date.available2019-12-19T17:37:48Zen
dc.date.issued2019-04-09en
dc.description.abstractOptimal operation of water reclamation facilities (WRFs) is critical for an indirect potable reuse (IPR) system, especially when the reclaimed water constitutes a major portion of the safe yield, as in the case of the Occoquan Reservoir located in Northern Virginia. This paper presents how a reservoir model is used for predicting future reservoir conditions based on the weather and streamflow forecasts obtained from the Climate Forecast System and the National Water Model. The resulting model predictions provide valuable feedback to the operators for correctly targeting the effluent nitrates using plant operations and optimization model called IViewOps (Intelligent View of Operations). The integrated models are run through URUNME, a newly developed integrated modeling software, and form a decision support system (DSS). The system captures the dynamic transformations in the nutrient loadings in the streams, withdrawals by the water treatment plant, WRF effluent flows, and the plant operations to manage nutrient levels based on the nitrate assimilative capacity of the reservoir. The DSS can provide multiple stakeholders with a holistic view for design, planning, risk assessments, and potential improvements in various components of the water supply chain, not just in the Occoquan but also in any reservoir augmentation-type IPR system.en
dc.description.sponsorshipThe authors acknowledge the support of UOSA and OWML for supporting and funding this research.en
dc.format.extent19 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.2166/wrd.2019.071en
dc.identifier.issue3en
dc.identifier.urihttp://hdl.handle.net/10919/96033en
dc.identifier.volume9en
dc.language.isoenen
dc.publisherIWAen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectdecision support systemen
dc.subjectfuturecastingen
dc.subjectintegrated modeling indirect potable reuseen
dc.subjectNational Water Modelen
dc.subjectwastewater treatmenten
dc.titleA decision support system for indirect potable reuse based on integrated modeling and futurecastingen
dc.title.serialJournal of Water Reuse and Desalinationen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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