Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22577
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments
Authors: Oliver, David
Porter, Kenneth
Pachepsky, Yakov A
Muirhead, Richard W
Reaney, Sim M
Coffey, Rory
Kay, David
Milledge, David G
Hong, Eunmi
Anthony, Steven G
Page, Trevor
Bloodworth, Jack W
Mellander, Per-Erik
Carbonneau, Patrice E
McGrane, Scott J
Quilliam, Richard
Contact Email: david.oliver@stir.ac.uk
Issue Date: 15-Feb-2016
Publisher: Elsevier
Citation: Oliver D, Porter K, Pachepsky YA, Muirhead RW, Reaney SM, Coffey R, Kay D, Milledge DG, Hong E, Anthony SG, Page T, Bloodworth JW, Mellander P, Carbonneau PE, McGrane SJ & Quilliam R (2016) Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments, Science of the Total Environment, 544, pp. 39-47.
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.
Type: Journal Article
URI: http://hdl.handle.net/1893/22577
DOI Link: http://dx.doi.org/10.1016/j.scitotenv.2015.11.086
Rights: © 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/).
Affiliation: Biological and Environmental Sciences
University of Stirling
U.S. Department of Agriculture
AgResearch Ltd
Durham University
University College Dublin (UCD)
Aberystwyth University
Durham University
U.S. Department of Agriculture
ADAS Group Ltd
Lancaster University
Cranfield University
Teagasc
Durham University
University of Surrey
Biological and Environmental Sciences

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