A DSS for operational management of wastewaters under uncertain conditions

dc.commentshttp://ctac.uminho.pt/node/2881por
dc.contributor.authorPereira, A.por
dc.contributor.authorPinho, José L. S.por
dc.contributor.authorFaria, R.por
dc.contributor.authorVieira, J. M. P.por
dc.date.accessioned2019-02-07T14:42:37Z
dc.date.available2019-02-07T14:42:37Z
dc.date.issued2018-09
dc.date.updated2019-02-07T14:34:34Z
dc.description.abstractWastewater treatment facilities of the Ave River basin (located in NW Portugal) are especially vulnerable to infiltration since they present considerable extensions of sewers installed in streams and rivers and collect wastewaters from longstanding sewer networks of five municipalities. The operational management of this complex system involves decision variables such as the selection of the treatment plant where collected wastewater will be treated, with implications for pumped volumes and consequent energy consumption. Aiming to reduce these inflows and increase the management performance of TRATAVE, the company responsible for operating the system, a monitoring network that includes the entire drainage network and treatment facilities operated by the company was designed and implemented. Several flow measurement devices were installed at strategic locations within the sewer network and integrated with a SCADA system responsible for its operation. All measured data was organized in databases. This monitoring platform will support the implementation of a decision support system (DSS) based on a hydrological model of the basin, a hydrodynamic model of the river network and the sewer network. The DSS is being implemented using the Delft-FEWS platform, integrating monitoring data and models. The DSS conceptual framework and the first results of the estimated infiltration volumes are presentedpor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.distributioninternationalpor
dc.identifier.citationPereira A., Pinho J. L. S., Rolando F., Vieira J. M. P. A DSS for Operational Management of Wastewaters under Uncertain Conditions, HIC 2018. 13th International Conference on Hydroinformatics, Vol. 3, pp. 1616-1623, doi:10.29007/n3cc, 2018por
dc.identifier.issn2516-2330
dc.identifier.urihttps://hdl.handle.net/1822/58986
dc.language.isoengpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://easychair.org/publications/paper/R3sPpor
dc.rightsopenAccesspor
dc.subjectDSSpor
dc.subjectHydroinformatic platformpor
dc.subjectOperational monitoring and modellingpor
dc.subjectWastewaters managementpor
dc.titleA DSS for operational management of wastewaters under uncertain conditionspor
dc.typeconferencePaperpor
dspace.entity.typePublicationen
oaire.citationEndPage1623por
oaire.citationStartPage1616por
oaire.citationTitleHIC 2018. 13th International Conference on Hydroinformatics
oaire.citationVolume3

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