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Factors affecting the spatial and temporal distribution of E. coli in intertidal estuarine sediments

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Factors affecting the spatial and temporal distribution of E. coli in intertidal estuarine sediments. / Wyness, Adam J.; Paterson, David M.; Mendo, Tania; Defew, Emma C.; Stutter, Marc I.; Avery, Lisa M.

In: Science of the Total Environment, Vol. 661, 15.04.2019, p. 155-167.

Research output: Contribution to journalArticle

Harvard

Wyness, AJ, Paterson, DM, Mendo, T, Defew, EC, Stutter, MI & Avery, LM 2019, 'Factors affecting the spatial and temporal distribution of E. coli in intertidal estuarine sediments' Science of the Total Environment, vol. 661, pp. 155-167. https://doi.org/10.1016/j.scitotenv.2019.01.061

APA

Wyness, A. J., Paterson, D. M., Mendo, T., Defew, E. C., Stutter, M. I., & Avery, L. M. (2019). Factors affecting the spatial and temporal distribution of E. coli in intertidal estuarine sediments. Science of the Total Environment, 661, 155-167. https://doi.org/10.1016/j.scitotenv.2019.01.061

Vancouver

Wyness AJ, Paterson DM, Mendo T, Defew EC, Stutter MI, Avery LM. Factors affecting the spatial and temporal distribution of E. coli in intertidal estuarine sediments. Science of the Total Environment. 2019 Apr 15;661:155-167. https://doi.org/10.1016/j.scitotenv.2019.01.061

Author

Wyness, Adam J. ; Paterson, David M. ; Mendo, Tania ; Defew, Emma C. ; Stutter, Marc I. ; Avery, Lisa M. / Factors affecting the spatial and temporal distribution of E. coli in intertidal estuarine sediments. In: Science of the Total Environment. 2019 ; Vol. 661. pp. 155-167.

Bibtex - Download

@article{025819bbf0834b7791d7ab5741217bbb,
title = "Factors affecting the spatial and temporal distribution of E. coli in intertidal estuarine sediments",
abstract = "Microbiological water quality monitoring of bathing waters does not account for faecal indicator organisms in sediments. Intertidal deposits are a significant reservoir of FIOs and this indicates there is a substantial risk to bathers through direct contact with the sediment, or through the resuspension of bacteria to the water column. Recent modelling efforts include sediment as a secondary source of contamination, however, little is known about the driving factors behind spatial and temporal variation in FIO abundance. E. coli abundance, in conjunction with a wide range of measured variables, was used to construct models to explain E. coli abundance in intertidal sediments in two Scottish estuaries. E. coli concentrations up to 6 log10 CFU 100 g dry wt-1 were observed, with optimal models accounting for E. coli variation up to an adjusted R2 of 0.66. Introducing more complex models resulted in overfitting of models, detrimentally effected the transferability of models between datasets. Salinity was the most important single variable, with season, pH, colloidal carbohydrates, organic content, bulk density and maximum air temperature also featuring in optimal models. Transfer of models, using only lower cost variables, between systems explained an average deviance of 42 {\%}. This study demonstrates the potential for cost-effective sediment characteristic monitoring to contribute to FIO fate and transport modelling and consequently the risk assessment of bathing water safety.",
keywords = "FIO, Estuaries, Pathogens, Bathing water quality, Sediments",
author = "Wyness, {Adam J.} and Paterson, {David M.} and Tania Mendo and Defew, {Emma C.} and Stutter, {Marc I.} and Avery, {Lisa M.}",
note = "Funding: University of St Andrews, The James Hutton Institute. DMP received funding from the Marine Alliance for Science and Technology for Scotland (MASTS), funded by the Scottish Funding Council (grant reference HR09011).",
year = "2019",
month = "4",
day = "15",
doi = "10.1016/j.scitotenv.2019.01.061",
language = "English",
volume = "661",
pages = "155--167",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Factors affecting the spatial and temporal distribution of E. coli in intertidal estuarine sediments

AU - Wyness, Adam J.

AU - Paterson, David M.

AU - Mendo, Tania

AU - Defew, Emma C.

AU - Stutter, Marc I.

AU - Avery, Lisa M.

N1 - Funding: University of St Andrews, The James Hutton Institute. DMP received funding from the Marine Alliance for Science and Technology for Scotland (MASTS), funded by the Scottish Funding Council (grant reference HR09011).

PY - 2019/4/15

Y1 - 2019/4/15

N2 - Microbiological water quality monitoring of bathing waters does not account for faecal indicator organisms in sediments. Intertidal deposits are a significant reservoir of FIOs and this indicates there is a substantial risk to bathers through direct contact with the sediment, or through the resuspension of bacteria to the water column. Recent modelling efforts include sediment as a secondary source of contamination, however, little is known about the driving factors behind spatial and temporal variation in FIO abundance. E. coli abundance, in conjunction with a wide range of measured variables, was used to construct models to explain E. coli abundance in intertidal sediments in two Scottish estuaries. E. coli concentrations up to 6 log10 CFU 100 g dry wt-1 were observed, with optimal models accounting for E. coli variation up to an adjusted R2 of 0.66. Introducing more complex models resulted in overfitting of models, detrimentally effected the transferability of models between datasets. Salinity was the most important single variable, with season, pH, colloidal carbohydrates, organic content, bulk density and maximum air temperature also featuring in optimal models. Transfer of models, using only lower cost variables, between systems explained an average deviance of 42 %. This study demonstrates the potential for cost-effective sediment characteristic monitoring to contribute to FIO fate and transport modelling and consequently the risk assessment of bathing water safety.

AB - Microbiological water quality monitoring of bathing waters does not account for faecal indicator organisms in sediments. Intertidal deposits are a significant reservoir of FIOs and this indicates there is a substantial risk to bathers through direct contact with the sediment, or through the resuspension of bacteria to the water column. Recent modelling efforts include sediment as a secondary source of contamination, however, little is known about the driving factors behind spatial and temporal variation in FIO abundance. E. coli abundance, in conjunction with a wide range of measured variables, was used to construct models to explain E. coli abundance in intertidal sediments in two Scottish estuaries. E. coli concentrations up to 6 log10 CFU 100 g dry wt-1 were observed, with optimal models accounting for E. coli variation up to an adjusted R2 of 0.66. Introducing more complex models resulted in overfitting of models, detrimentally effected the transferability of models between datasets. Salinity was the most important single variable, with season, pH, colloidal carbohydrates, organic content, bulk density and maximum air temperature also featuring in optimal models. Transfer of models, using only lower cost variables, between systems explained an average deviance of 42 %. This study demonstrates the potential for cost-effective sediment characteristic monitoring to contribute to FIO fate and transport modelling and consequently the risk assessment of bathing water safety.

KW - FIO

KW - Estuaries

KW - Pathogens

KW - Bathing water quality

KW - Sediments

U2 - 10.1016/j.scitotenv.2019.01.061

DO - 10.1016/j.scitotenv.2019.01.061

M3 - Article

VL - 661

SP - 155

EP - 167

JO - Science of the Total Environment

T2 - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -

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ID: 257353793