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

Loading...
Thumbnail Image

Date published

Free to read from

Authors

Oliver, David M.
Porter, Kenneth D. H.
Yakov, A. Pachepsky
Muirhead, Richard W.
Reaney, Sim M.
Coffey, Rory
Kay, David
Milledge, David G.
Hong, Eunmi
Anthony, Steven G.

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Department

Course name

ISSN

0048-9697

Format

Citation

Oliver 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. 39-47

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.

Description

Software Description

Software Language

Github

Keywords

Catchment management, Diffuse pollution, Faecal indicator organism, Human health, Pathogens

DOI

Rights

Funder/s

Relationships

Relationships

Resources