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dc.contributor.authorOliver, David M.
dc.contributor.authorPorter, Kenneth D.H.
dc.contributor.authorPachepsky, Yakov A.
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 W.
dc.contributor.authorMellander, Per-Erik
dc.contributor.authorCarbonneau, Patrice E.
dc.contributor.authorMcGrane, Scott J.
dc.contributor.authorQuilliam, Richard S.
dc.date.accessioned2020-08-04T13:56:38Z
dc.date.available2020-08-04T13:56:38Z
dc.date.issued2015-12-03
dc.identifier.citationOliver, D., Porter, K., Pachepsky, Y., Muirhead, R., Reaney, S., Coffey, R., Kay, D., Milledge, D., Hong, E., Anthony, S., Page, T., Bloodworth, J., Mellander, P., Carbonneau, P., McGrane, S. and Quilliam, R. (2016). Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments. Science of The Total Environment, 544, 39-47. doi: http://dx.doi.org/10.1016/j.scitotenv.2015.11.086en_US
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/11019/2242
dc.descriptionpeer-revieweden_US
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_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesScience of The Total Environment;Vol. 544
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectCatchment managementen_US
dc.subjectDiffuse pollutionen_US
dc.subjectFaecal indicator organismen_US
dc.subjectHuman healthen_US
dc.subjectPathogensen_US
dc.titlePredicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchmentsen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.scitotenv.2015.11.086
dc.contributor.sponsorUK Natural Environment Research Councilen_US
dc.contributor.sponsorGrantNumberNE/M005860/1en_US
dc.source.volume544
dc.source.beginpage39-47
refterms.dateFOA2020-08-04T13:56:38Z


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