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dc.contributor.authorNdong, Mouhamed
dc.contributor.authorBird, David
dc.contributor.authorTri, Nguyen Quang
dc.contributor.authorKahawita, Rene
dc.contributor.authorHamilton, David
dc.contributor.authorde Boutray, Marie Laure
dc.contributor.authorPrevost, Michele
dc.contributor.authorDorner, Sarah
dc.date.accessioned2020-08-10T03:29:19Z
dc.date.available2020-08-10T03:29:19Z
dc.date.issued2017
dc.identifier.issn0043-1354en_US
dc.identifier.doi10.1016/j.watres.2017.10.021en_US
dc.identifier.urihttp://hdl.handle.net/10072/396356
dc.description.abstractToxic cyanobacteria (CB) blooms are being reported in an increasing number of water bodies worldwide. As drinking water (DW) treatment can be disrupted by CB, in addition to long term management plans, short term operational decision-making tools are needed that enable an understanding of the temporal variability of CB movement in relation to drinking water intakes. In this paper, we propose a novel conservative model based on a Eulerian framework and compare results with data from CB blooms in Missisquoi Bay (Québec, Canada). The hydrodynamic model considered the effects of wind and light intensity, demonstrated that current understanding of cell buoyancy in relation to light intensity in full-scale systems is incomplete and some factors are yet to be fully characterized. Factors affecting CB buoyancy play a major role in the formation of a thin surface layer that could be of ecological importance with regards to cell concentrations and toxin production. Depending on velocities, wind contributes either to the accumulation or to the dispersion of CB. Lake recirculation effects have a tendency to create zones of low CB concentrations in a water body. Monitoring efforts and future research should focus on short-term variations of CB throughout the water column and the characterization of factors other than light intensity that affect cell buoyancy. These factors are critical for understanding the risk of breakthrough into treatment plants as well as the formation of surface scums and subsequent toxin production.en_US
dc.description.peerreviewedYesen_US
dc.description.sponsorshipIan Potter Foundationen_US
dc.description.sponsorshipGriffith Universityen_US
dc.description.sponsorshipCawthron Institute Trust Boarden_US
dc.description.sponsorshipInstitute of Geological & Nuclear Sciences Limiteden_US
dc.description.sponsorshipReef and Rainforest Research Centreen_US
dc.description.sponsorshipUniversities Australiaen_US
dc.description.sponsorshipDept of Science, Information Technology, Innovation & the Arts (DSITIA)en_US
dc.description.sponsorshipGriffith Universityen_US
dc.languageEnglishen_US
dc.language.isoeng
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofjournalWater Researchen_US
dc.relation.ispartofvolume127en_US
dc.relation.urihttp://purl.org/au-research/grants/ARC/DP190101848
dc.relation.grantIDDP190101848en_US
dc.relation.fundersARCen_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsTechnologyen_US
dc.subject.keywordsLife Sciences & Biomedicineen_US
dc.subject.keywordsPhysical Sciencesen_US
dc.subject.keywordsEngineering, Environmentalen_US
dc.titleA novel Eulerian approach for modelling cyanobacteria movement: Thin layer formation and recurrent risk to drinking water intakesen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationNdong, M; Bird, D; Tri, NQ; Kahawita, R; Hamilton, D; de Boutray, ML; Prevost, M; Dorner, S, A novel Eulerian approach for modelling cyanobacteria movement: Thin layer formation and recurrent risk to drinking water intakes, Water Research, 2017, 127, pp. 191-203en_US
dcterms.dateAccepted2017-10-09
dc.date.updated2020-08-10T03:23:01Z
gro.hasfulltextNo Full Text
gro.griffith.authorHamilton, David P.


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