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

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dc.contributor.authorOliver, David M.
dc.contributor.authorPorter, Kenneth D. H.
dc.contributor.authorYakov, A. Pachepsky
dc.contributor.authorMuirhead, Richard W.
dc.contributor.authorReaney, Sim M.
dc.contributor.authorCoffey, Rory
dc.contributor.authorKay, David
dc.contributor.authorMilledge, David G.
dc.contributor.authorHong, Eunmi
dc.contributor.authorAnthony, Steven G.
dc.contributor.authorPage, Trevor
dc.contributor.authorBloodworth, Jack
dc.contributor.authorMellander, Per-Erik
dc.contributor.authorCarbonneau, Patrice E.
dc.contributor.authorMcGrane, Scott J.
dc.contributor.authorQuilliam, Richard S.
dc.date.accessioned2016-08-18T14:05:19Z
dc.date.available2016-08-18T14:05:19Z
dc.date.issued2015-12-03
dc.description.abstractThe 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.en_UK
dc.description.journalNameScience of The Total Environment
dc.format.extentpp. 39-47
dc.identifier.citationOliver DM, Porter KDH, Pachepsky YA, et al., (2016) Predicting microbial water quality with models: over-arching questions for managing risk in agricultural catchments. Science of The Total Environment, Volume 544, February 2016, pp. 39-47en_UK
dc.identifier.issn0048-9697
dc.identifier.urihttps://doi.org/10.1016/j.scitotenv.2015.11.086.
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/10345
dc.identifier.volumeNo544
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.subjectCatchment managementen_UK
dc.subjectDiffuse pollutionen_UK
dc.subjectFaecal indicator organismen_UK
dc.subjectHuman healthen_UK
dc.subjectPathogensen_UK
dc.titlePredicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchmentsen_UK
dc.typeArticleen_UK

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