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dc.creatorMellios, Nikolaosen
dc.creatorMoe, Jannickeen
dc.creatorLaspidou, Chrysien
dc.date.accessioned2020-11-03T11:16:37Z
dc.date.available2020-11-03T11:16:37Z
dc.date.issued2020-08-28
dc.identifierhttps://doi.org/10.1016/j.watres.2020.116356en
dc.identifier.urihttp://hdl.handle.net/11615/54408
dc.language.isoenen
dc.relationEuropean Union Horizon 2020 Research and Innovation Staff Exchange programme under Grant Agreement No. 734409 WATER4CITIESen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.sourceElsevieren
dc.subjectCyanobacteriaen
dc.subjectNutrientsen
dc.subjectWater Framework Directiveen
dc.subjectBayesian Hierarchical modellingen
dc.subjectEutrophication lake managementen
dc.subjectWHO risk levelsen
dc.titleUsing Bayesian hierarchical modelling to capture cyanobacteria dynamics in Northern European lakesen
dc.typejournalArticleen
dc.rights.accessRightsfreeen
dc.identifier.bibliographicCitationMellios, N., Moe, S., & Laspidou, C. (2020). Using Bayesian hierarchical modelling to capture cyanobacteria dynamics in Northern European lakes. Water Research, 186, 116356. doi: 10.1016/j.watres.2020.116356en


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Attribution-NonCommercial-NoDerivatives 4.0 International
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