Developing best practice guidelines for lake modelling to inform quantitative microbial risk assessment

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Yu, Songyan
Sturm, Katrin
Gibbes, Badin
Kennard, Mark J
Veal, Cameron
Middleton, Duncan
Fisher, Paul
Rotherham, Simon
Hamilton, David P
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2022
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https://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract

Numerical models of lakes and reservoirs have been widely applied to provide quantitative forecasts of pathogen occurrence and persistence in source water to inform quantitative microbial risk assessment (QMRA). There is an emerging need in the water supply industry for a set of best practice modelling guidelines, supporting consistent and repeatable use of lake modelling approaches that could be used to provide quality assurance to water authorities and regulators. To aid in the development of these guidelines, we conducted a literature review to summarise common modelling steps from existing water modelling guidelines as the basis for best practice guidelines for lake modelling. We also report on the results of a workshop, expert interviews, and online surveys that identify common challenges and requirements for each step. The summarised lake modelling steps and key requirements pave the way to complete the development of best practice guidelines for lake modelling to inform QMRA.

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Environmental Modelling & Software
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150
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© 2022 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
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Environmental management
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Yu, S; Sturm, K; Gibbes, B; Kennard, MJ; Veal, C; Middleton, D; Fisher, P; Rotherham, S; Hamilton, DP, Developing best practice guidelines for lake modelling to inform quantitative microbial risk assessment, Environmental Modelling & Software, 2022, 150, pp. 105334
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