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    Rights statement: © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

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Predicting microbial water quality with models: over-arching questions for managing risk in agricultural catchments

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Predicting microbial water quality with models: over-arching questions for managing risk in agricultural catchments. / Oliver, David Michael; Porter, Kenneth D. H.; Pachepsky, Yakov A. et al.
In: Science of the Total Environment, Vol. 544, 15.02.2016, p. 39-47.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Oliver, DM, Porter, KDH, Pachepsky, YA, Muirhead, RW, Reaney, SM, Coffey, R, Kay, D, Milledge, DG, Hong, E, Anthony, SG, Page, TJC, Bloodworth, JW, Mellander, P-E, Carbonneau, PE, McGrane, SJ & Quilliam, RS 2016, 'Predicting microbial water quality with models: over-arching questions for managing risk in agricultural catchments', Science of the Total Environment, vol. 544, pp. 39-47. https://doi.org/10.1016/j.scitotenv.2015.11.086

APA

Oliver, D. M., Porter, K. D. H., Pachepsky, Y. A., Muirhead, R. W., Reaney, S. M., Coffey, R., Kay, D., Milledge, D. G., Hong, E., Anthony, S. G., Page, T. J. C., Bloodworth, J. W., Mellander, P-E., Carbonneau, P. E., McGrane, S. J., & Quilliam, R. S. (2016). Predicting microbial water quality with models: over-arching questions for managing risk in agricultural catchments. Science of the Total Environment, 544, 39-47. https://doi.org/10.1016/j.scitotenv.2015.11.086

Vancouver

Oliver DM, Porter KDH, Pachepsky YA, Muirhead RW, Reaney SM, Coffey R et al. Predicting microbial water quality with models: over-arching questions for managing risk in agricultural catchments. Science of the Total Environment. 2016 Feb 15;544:39-47. Epub 2015 Dec 3. doi: 10.1016/j.scitotenv.2015.11.086

Author

Oliver, David Michael ; Porter, Kenneth D. H. ; Pachepsky, Yakov A. et al. / Predicting microbial water quality with models : over-arching questions for managing risk in agricultural catchments. In: Science of the Total Environment. 2016 ; Vol. 544. pp. 39-47.

Bibtex

@article{b2aa9fb12b6e4a52b24946e92b5079f3,
title = "Predicting microbial water quality with models: over-arching questions for managing risk in agricultural catchments",
abstract = "The application of models to predict concentrations of faecal indicator organisms (FIOs) in environmental systems plays an important role for guiding decision-making associated with the management of microbial water quality. In recent years there has been an increasing demand by policy-makers for models to help inform FIO dynamics in order to prioritise efforts for environmental and human-health protection. However, given the limited evidence-base on which FIO models are built relative to other agricultural pollutants (e.g. nutrients) it is imperative that the end-user expectations of FIO models are appropriately managed. In response, this commentary highlights four over-arching questions associated with: (i) model purpose; (ii) modelling approach; (iii) data availability; and (iv) model application, that must be considered as part of good practice prior to the deployment of any modelling approach to predict FIO behaviour in catchment systems. A series of short and longer-term research priorities are proposed in response to these questions in order to promote better model deployment in the field of catchment microbial dynamics.",
keywords = "Catchment management, Diffuse pollution, Faecal indicator organism, Human health, Pathogens",
author = "Oliver, {David Michael} and Porter, {Kenneth D. H.} and Pachepsky, {Yakov A.} and Muirhead, {Richard W.} and Reaney, {Sim M.} and Rory Coffey and David Kay and Milledge, {David Graham} and Eunmi Hong and Anthony, {Steven G.} and Page, {Trevor John Charles} and Bloodworth, {Jack W.} and Per-Erik Mellander and Carbonneau, {Patrice E.} and McGrane, {Scott J.} and Quilliam, {Richard S.}",
note = "{\textcopyright} 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)",
year = "2016",
month = feb,
day = "15",
doi = "10.1016/j.scitotenv.2015.11.086",
language = "English",
volume = "544",
pages = "39--47",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - Predicting microbial water quality with models

T2 - over-arching questions for managing risk in agricultural catchments

AU - Oliver, David Michael

AU - Porter, Kenneth D. H.

AU - Pachepsky, Yakov A.

AU - Muirhead, Richard W.

AU - Reaney, Sim M.

AU - Coffey, Rory

AU - Kay, David

AU - Milledge, David Graham

AU - Hong, Eunmi

AU - Anthony, Steven G.

AU - Page, Trevor John Charles

AU - Bloodworth, Jack W.

AU - Mellander, Per-Erik

AU - Carbonneau, Patrice E.

AU - McGrane, Scott J.

AU - Quilliam, Richard S.

N1 - © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

PY - 2016/2/15

Y1 - 2016/2/15

N2 - The application of models to predict concentrations of faecal indicator organisms (FIOs) in environmental systems plays an important role for guiding decision-making associated with the management of microbial water quality. In recent years there has been an increasing demand by policy-makers for models to help inform FIO dynamics in order to prioritise efforts for environmental and human-health protection. However, given the limited evidence-base on which FIO models are built relative to other agricultural pollutants (e.g. nutrients) it is imperative that the end-user expectations of FIO models are appropriately managed. In response, this commentary highlights four over-arching questions associated with: (i) model purpose; (ii) modelling approach; (iii) data availability; and (iv) model application, that must be considered as part of good practice prior to the deployment of any modelling approach to predict FIO behaviour in catchment systems. A series of short and longer-term research priorities are proposed in response to these questions in order to promote better model deployment in the field of catchment microbial dynamics.

AB - The application of models to predict concentrations of faecal indicator organisms (FIOs) in environmental systems plays an important role for guiding decision-making associated with the management of microbial water quality. In recent years there has been an increasing demand by policy-makers for models to help inform FIO dynamics in order to prioritise efforts for environmental and human-health protection. However, given the limited evidence-base on which FIO models are built relative to other agricultural pollutants (e.g. nutrients) it is imperative that the end-user expectations of FIO models are appropriately managed. In response, this commentary highlights four over-arching questions associated with: (i) model purpose; (ii) modelling approach; (iii) data availability; and (iv) model application, that must be considered as part of good practice prior to the deployment of any modelling approach to predict FIO behaviour in catchment systems. A series of short and longer-term research priorities are proposed in response to these questions in order to promote better model deployment in the field of catchment microbial dynamics.

KW - Catchment management

KW - Diffuse pollution

KW - Faecal indicator organism

KW - Human health

KW - Pathogens

U2 - 10.1016/j.scitotenv.2015.11.086

DO - 10.1016/j.scitotenv.2015.11.086

M3 - Journal article

VL - 544

SP - 39

EP - 47

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -