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

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posted on 2023-05-03, 13:29 authored by David Oliver, Kenneth Porter, Yakov Pachepsky, Richard MuirheadRichard Muirhead, Sim Reaney, Rory Coffey, David Kay, David Milledge, Eunmi Hong, Steven Anthony, Trevor Page, Jack Bloodworth, Per-Erik Mellander, Patrice Carbonneau, Scott McGrane, Richard Quilliam
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.

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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/).

Language

  • English

Does this contain Māori information or data?

  • No

Publisher

Elsevier

Journal title

Science of the Total Environment

ISSN

0048-9697

Citation

Oliver, D. M., Porter, K. D., Pachepsky, Y. A., Muirhead, R. W., Reaney, S. M., Coffey, R., ... 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. doi:10.1016/j.scitotenv.2015.11.086

Funder

Ministry of Business Innovation & Employment

Contract number

A16014

Job code

28757x02

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