对澳大利亚和新西兰社区主导的水质建模战略方向的评论

IF 6.3 1区 地球科学 Q1 ENGINEERING, CIVIL
Danlu Guo , Anna Lintern , Alexander H. Elliott , Melanie E. Roberts , Susan M. Cuddy , Ulrike Bende-Michl , Baihua Fu , Klaus Joehnk , Robert Sargent , Danswell Starrs , Anthony J. Jakeman , Vaughn Grey , Matt S. Gibbs , Deniz Özkundakci , Val Snow , Thomas Stephens , Theodore Kpodonu , Andrew W. Western
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引用次数: 0

摘要

水质对人类和生态系统的健康至关重要。在澳大利亚和新西兰,水质建模对于描述和管理水资源以及为规划和监管提供支持至关重要,但目前的建模实践并不能完全满足这些需求。这要求重新考虑包括更广泛的建模社区(包括从业人员、使用模型结果的陆地水管理人员和收集数据的人)在内的水质建模战略和优先事项。很少有涉及更广泛的建模社区的协作策略开发的先例。因此,我们采取了一项新的举措,为澳大利亚和新西兰的水质建模制定长期合作战略和优先事项。这篇评论文章介绍了这一过程的主要发现。具体来说,我们召集了一组来自不同部门(政府、咨询和学术界)的水质建模者,共同确定水质建模的现状和挑战、未来愿景和潜在的战略领域。建议在以下关键领域采取行动:加强水质建模;社区建设;使数据和模型更容易获得和使用;利用新兴技术进行数据收集和建模。我们的过程和发现可能与全球面临类似战略挑战的建模者产生共鸣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A commentary on strategic community-led directions for water quality modelling in Australia and New Zealand
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.
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来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
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