Document Detail


Modelling the fate of faecal indicators in a coastal basin.
MedLine Citation:
PMID:  16537086     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The paper describes a modelling study of near-shore coastal waters, undertaken to assess the impact of various bacterial input loads on the receiving waters in a coastal basin in the UK. Total and faecal coliforms, used as the indicators for bathing water quality under the European Union (EU) Bathing Water Directive, were numerically modelled using a 2D depth integrated hydro-environmental model. Details are given of the governing equations and solution methods used in the numerical model, together with a discussion of the recent development in faecal bacterial indicator modelling. Details are also given of a field data collection exercise, which involved initially collecting existing information on effluent input loads and followed by an intensive field survey. Using the water quality model, the mortality rate of the pathogen bacteria was investigated. Three methods were used to represent the relationship between the decay rate and the level of solar radiation including: a constant decay rate, day- and night-time decay rates and a solar radiation related time varying decay rate. Relatively close agreement between model predicted and measured total and faecal coliform concentration distributions were obtained for different day- and night-time decay rates and time varying decay rates. No significant differences were found in the optimum decay rates for total and faecal coliform levels. Finally, the impact of the individual inputs on the bathing water quality of the basin was also statistically and numerically investigated. Results showed that the River Irvine was the most significant input during high river flows, and that under these conditions the bathing waters were likely to fail to comply with the European Union Bathing Water Directive. For base river flow conditions the Meadowhead effluent input was found to be critical for both total and faecal coliform level predictions.
Authors:
S M Kashefipour; B Lin; R A Falconer
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2006-03-14
Journal Detail:
Title:  Water research     Volume:  40     ISSN:  0043-1354     ISO Abbreviation:  Water Res.     Publication Date:  2006 Apr 
Date Detail:
Created Date:  2006-03-27     Completed Date:  2006-09-14     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0105072     Medline TA:  Water Res     Country:  England    
Other Details:
Languages:  eng     Pagination:  1413-25     Citation Subset:  IM    
Affiliation:
Water Sciences Engineering Faculty, Shahid Chamran University, Ahwaz, Iran.
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MeSH Terms
Descriptor/Qualifier:
Enterobacteriaceae / isolation & purification*
Feces / microbiology*
Models, Theoretical*
Oceans and Seas
Rivers
Scotland
Water Microbiology / standards*
Water Movements
Water Pollutants
Chemical
Reg. No./Substance:
0/Water Pollutants

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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