Using Bayesian hierarchical modelling to capture cyanobacteria dynamics in Northern European lakes

dc.creator	Mellios, Nikolaos	en
dc.creator	Moe, Jannicke	en
dc.creator	Laspidou, Chrysi	en
dc.date.accessioned	2020-11-03T11:16:37Z
dc.date.available	2020-11-03T11:16:37Z
dc.date.issued	2020-08-28
dc.identifier	https://doi.org/10.1016/j.watres.2020.116356	en
dc.identifier.uri	http://hdl.handle.net/11615/54408
dc.language.iso	en	en
dc.relation	European Union Horizon 2020 Research and Innovation Staff Exchange programme under Grant Agreement No. 734409 WATER4CITIES	en
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 International	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	en
dc.source	Elsevier	en
dc.subject	Cyanobacteria	en
dc.subject	Nutrients	en
dc.subject	Water Framework Directive	en
dc.subject	Bayesian Hierarchical modelling	en
dc.subject	Eutrophication lake management	en
dc.subject	WHO risk levels	en
dc.title	Using Bayesian hierarchical modelling to capture cyanobacteria dynamics in Northern European lakes	en
dc.type	journalArticle	en
dc.rights.accessRights	free	en
dc.identifier.bibliographicCitation	Mellios, 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.2020.116356	en

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