Literature DB >> 18295819

Faecal indicator organism concentrations and catchment export coefficients in the UK.

D Kay1, J Crowther, C M Stapleton, M D Wyer, L Fewtrell, S Anthony, M Bradford, A Edwards, C A Francis, M Hopkins, C Kay, A T McDonald, J Watkins, J Wilkinson.   

Abstract

Characterisation of faecal indicator organism (FIO) concentrations and export coefficients for catchments with particular combinations of land use and under specific climatic regimes is critical in developing models to predict daily loads and apportion sources of the microbial parameters used to regulate water quality. Accordingly, this paper presents a synthesis of FIO concentration and export coefficient data for the summer bathing season, with some comparative winter data, for 205 river/stream sampling points widely distributed across mainland UK. In terms of both geometric mean (GM) FIO concentrations and export coefficients (expressed as cfu km(-2) h(-1)), the results reveal (1) statistically significant elevations at high flow compared with base flow, with concentrations typically increasing by more than an order of magnitude and export coefficients by about two orders; (2) significantly higher values in summer than in winter under high-flow conditions; and (3) extremely wide variability between the catchments (e.g. four orders of magnitude range for GM faecal coliform concentrations), which closely reflects land use-with urban areas and improved pastures identified as key FIO sources. Generally, these two most polluting land uses are concentrated in lowland areas where runoff (m3 km(-2) h(-1)) is low compared with upland areas, which in the UK are dominated by rough grazing and forestry. Consequently, contrasts in export coefficients between land use types are less than for FIO concentrations. The GMs reported for most land use categories are based on 13 sites and exhibit quite narrow confidence intervals. They may therefore be applied with some confidence to other catchments in the UK and similar geographical regions elsewhere. Examples are presented to illustrate how the results can be used to estimate daily summer base- and high-flow FIO loads for catchments with different land use types, and to assess the likely effectiveness of certain strategies for reducing FIO pollutant loadings in areas with extensive areas of lowland improved pasture.

Mesh:

Year:  2008        PMID: 18295819     DOI: 10.1016/j.watres.2008.01.017

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  8 in total

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Journal:  Environ Sci Pollut Res Int       Date:  2014-07-05       Impact factor: 4.223

2.  Application of a linear regression model to assess the influence of urbanised areas and grazing pastures on the microbiological quality of rural streams.

Authors:  Scott J McGrane; Doerthe Tetzlaff; Chris Soulsby
Journal:  Environ Monit Assess       Date:  2014-07-09       Impact factor: 2.513

3.  Reliability-Based Water Quality Assessment with Load Resistance Factor Design: Application to TMDL.

Authors:  M Sadegh Riasi; Allen Teklitz; William Shuster; Christopher Nietch; Lilit Yeghiazarian
Journal:  J Hydrol Eng       Date:  2018       Impact factor: 2.064

4.  Reliability theory for microbial water quality and sustainability assessment.

Authors:  Allen Teklitz; Christopher Nietch; M Sadegh Riasi; Lilit Yeghiazarian
Journal:  J Hydrol (Amst)       Date:  2021-05       Impact factor: 5.722

5.  Hypothesis-driven approach for the identification of fecal pollution sources in water resources.

Authors:  G H Reischer; D Kollanur; J Vierheilig; C Wehrspaun; R L Mach; R Sommer; H Stadler; A H Farnleitner
Journal:  Environ Sci Technol       Date:  2011-04-05       Impact factor: 9.028

6.  The association of weather and bathing water quality on the incidence of gastrointestinal illness in the west of Scotland.

Authors:  J I Eze; E M Scott; K G Pollock; R Stidson; C A Miller; D Lee
Journal:  Epidemiol Infect       Date:  2013-09-06       Impact factor: 4.434

7.  A generic approach for the development of short-term predictions of Escherichia coli and biotoxins in shellfish.

Authors:  Wiebke Schmidt; Hayley L Evers-King; Carlos J A Campos; Darren B Jones; Peter I Miller; Keith Davidson; Jamie D Shutler
Journal:  Aquac Environ Interact       Date:  2018-04-19       Impact factor: 3.074

8.  Contamination of water resources by pathogenic bacteria.

Authors:  Pramod K Pandey; Philip H Kass; Michelle L Soupir; Sagor Biswas; Vijay P Singh
Journal:  AMB Express       Date:  2014-06-28       Impact factor: 4.126

  8 in total

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