AgResearch
Browse

A commentary on strategic community-led directions for water quality modelling in Australia and New Zealand

Download (1.58 MB)
journal contribution
posted on 2025-03-04, 01:38 authored by Danlu GuoDanlu Guo, Anna Lintern, Alexander H. Elliott, Melanie Roberts, Susan Cuddy, Ulrike Bende-MichlUlrike Bende-Michl, Baihua Fu, KD Jöhnk, Robert Sargent, Danswell Starrs, Anthony J. Jakeman, Vaughn Grey, Matt Gibbs, Deniz Özkundakci, Val SnowVal Snow, Thomas Stephens, Theodore Kpodonu, Andrew Western

Water quality is essential for human and ecosystem health. In Australia and New Zealand, modelling of water quality is crucial for characterising and managing water resources and providing support for planning and regulation, yet current modelling practice does not meet these needs fully. This calls for re-thinking strategies and priorities for water quality modelling that include the broader modelling community (which encompasses practitioners, land–water managers who use model results, and those who collect data). There is little precedent of collaborative strategy development involving a broader modelling community. We therefore undertook a new initiative to develop long-term collaborative strategies and priorities for modelling water quality for Australia and New Zealand. Key findings from this process are presented in this commentary paper. Specifically, we convened a group of water quality modellers from different sectors (government, consulting, and academia) to collaboratively identify the current status and challenges, future visions and potential strategic areas of water quality modelling. Actions are proposed in the key areas of: making a stronger case for water quality modelling; community building; making data and models more available and accessible; and leveraging new and emerging technologies for data collection and modelling. Our process and findings are likely to resonate with modellers facing similar strategic challenges globally.

Funding

New Zealand Ministry for the Environment

History

Rights statement

© 2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/bync/4.0/).

Publication date

2025-02-27

Project number

  • PRJ0761781

Language

  • English

Does this contain Māori information or data?

  • No

Publisher

Elsevier

Journal title

Journal of Hydrology

ISSN

0022-1694

Volume/issue number

656

Page numbers

132978

Usage metrics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC