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Modelling importance of sediment effects on fate and transport of enterococci in the Severn Estuary

Gao, Guanghai, Falconer, Roger Alexander ORCID: https://orcid.org/0000-0001-5960-2864 and Lin, Binliang ORCID: https://orcid.org/0000-0001-8622-5822 2013. Modelling importance of sediment effects on fate and transport of enterococci in the Severn Estuary. Marine Pollution Bulletin 67 (1/2) , pp. 45-54. 10.1016/j.marpolbul.2012.12.002

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Abstract

The paper detailed a water quality modelling study of a hyper-tidal estuary, undertaken to assess the impact of various bacteria input loads on the receiving waters in a coastal basin in the UK, by using the model developed in previous study of the same authors enterococci, used as the indicators for bathing water quality under the new European Union (EU) Bathing Water Directive, were numerically modelled using a hydro-environmental model. In particular, the numerical model used in this study includes the effects of sediment on bacteria transport processes in surface water. Finally, the importance of sediment bacteria inputs on the bathing water quality was also investigated under different weather and tidal condition. During spring tide, the bacteria input from the bed sediments are dominant for both wet and dry weather conditions. During neap tides and during dry weather conditions the inputs of bacteria from the bed sediment were still dominant, but during wet weather conditions the inputs from river were dominant. Under different tidal flow conditions some parameters had a more significant role than others. During high flow conditions the sediment re-suspensions processes were dominant, therefore the bed bacteria concentrations played a dominant role on the overall bacteria concentration levels in the water column. In contrast, during low flow conditions sediment deposition prevails and bacteria are removed from the water column. The partition coefficient was found to be more important than the bed bacteria concentrations, during low flow conditions.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Advanced Research Computing @ Cardiff (ARCCA)
Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: Enterococci; Faecal indicator bacteria; Water quality model; Sediment transport; Decay rate; Numerical model
Publisher: Elsevier
ISSN: 0025-326X
Last Modified: 24 Oct 2022 09:57
URI: https://orca.cardiff.ac.uk/id/eprint/42708

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