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dc.contributor.authorEregno, Fasil Ejigu
dc.contributor.authorTryland, Ingun
dc.contributor.authorTjomsland, Torulv
dc.contributor.authorKempa, Magdalena
dc.contributor.authorHeistad, Arve
dc.date.accessioned2019-06-27T07:59:23Z
dc.date.available2019-06-27T07:59:23Z
dc.date.created2018-07-10T11:29:24Z
dc.date.issued2018
dc.identifier.citationJournal of Hydrology. 2018, 561, 179-186.nb_NO
dc.identifier.issn0022-1694
dc.identifier.urihttp://hdl.handle.net/11250/2602463
dc.descriptionEmbargo until 03 April 2020nb_NO
dc.description.abstractMicrobial contamination of recreational beaches is often at its worst after heavy rainfall events due to storm floods that carry fecal matter and other pollutants from the watershed. Similarly, overflows of untreated sewage from combined sewerage systems may discharge directly into coastal water or via rivers and streams. In order to understand the effect of rainfall events, wind-directions and tides on the recreational water quality, GEMSS, an integrated 3D hydrodynamic model was applied to assess the spreading of Escherichia coli (E. coli) at the Sandvika beaches, located in the Oslo fjord. The model was also used to theoretically investigate the effect of discharges from septic tanks from boats on the water quality at local beaches. The model make use of microbial decay rate as the main input representing the survival of microbial pathogens in the ocean, which vary widely depending on the type of pathogen and environmental stress. The predicted beach water quality was validated against observed data after a heavy rainfall event using Nash-Sutcliffe coefficient (E) and the overall result indicated that the model performed quite well and the simulation was in – good agreement with the observed E. coli concentrations for all beaches. The result of this study indicated that: 1) the bathing water quality was poor according to the EU bathing water directive up to two days after the heavy rainfall event depending on the location of the beach site. 2) The discharge from a boat at 300-meter distance to the beaches slightly increased the E. coli levels at the beaches. 3) The spreading of microbial pathogens from its source to the different beaches depended on the wind speed and the wind direction.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleHydrodynamic modelling of recreational water quality using Escherichia coli as an indicator of microbial contaminationnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber179-186nb_NO
dc.source.volume561nb_NO
dc.source.journalJournal of Hydrologynb_NO
dc.identifier.doi10.1016/j.jhydrol.2018.04.006
dc.identifier.cristin1596520
dc.relation.projectNorges forskningsråd: 208279nb_NO
dc.relation.projectRegionale forskningsfond Hovedstaden: 217576/97227nb_NO
cristin.unitcode7464,20,16,0
cristin.unitcode7464,20,17,0
cristin.unitcode7464,20,14,0
cristin.unitnameSystemer og teknologi
cristin.unitnameForskningsinfrastruktur
cristin.unitnameMarin biogeokjemi og oseanografi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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