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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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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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 -