Modelling of river faecal indicator bacteria dynamics as a basis for faecal contamination reduction
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چکیده
منابع مشابه
Integrated modelling of faecal contamination in a densely populated river-sea continuum (Scheldt River and Estuary).
In order to simulate the long-term (months-years) median Escherichia coli distributions and variations in the tidal Scheldt River and Estuary, a dedicated module was developed for the Second-generation Louvain-la-Neuve Ice-ocean Model (SLIM, www.climate.be/slim). The resulting model (SLIM-EC2) presents two specific and new features compared to the older SLIM-EC model version. The first is that ...
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AIMS To investigate the survival of cultivable bacteria in the tropical Bangpakong estuary (Eastern Thailand) under different salinities and light conditions. METHODS AND RESULTS Dark and light microcosm experiments using membrane diffusion chambers were carried out under three different experimental conditions, namely (i) low salinity, (ii) progressive mixing with brackish water and (iii) fa...
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........................................................................................................................................................ ii Acknowledgements ...................................................................................................................................... iii List of Figures ........................................................................
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To meet European Water Framework Directive requirements, data are needed on faecal indicator organism (FIO) concentrations in rivers to enable the more heavily polluted to be targeted for remedial action. Due to the paucity of FIO data for the UK, especially under high-flow hydrograph event conditions, there is an urgent need by the policy community for generic models that can accurately predic...
متن کاملPopulation similarity analysis of indicator bacteria for source prediction of faecal pollution in a coastal lake.
Biochemical fingerprinting (BF) databases of 524 enterococci and 571 Escherichia coli isolates and an antibiotic resistance analysis (ARA) database comprising of 380 E. coli isolates from four suspected sources (i.e. dogs, chickens, waterfowls, and human sewage) were developed to predict the sources of faecal pollution in a recreational coastal lake. Twenty water samples representing four sampl...
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ژورنال
عنوان ژورنال: Journal of Hydrology
سال: 2018
ISSN: 0022-1694
DOI: 10.1016/j.jhydrol.2018.06.077