Improving water quality modelling by better understanding solute transport

通过更好地了解溶质迁移来改进水质建模

• 批准号: DP230100618
• 负责人: Prof Andrew Western
• 金额: $ 40.3万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230100618
• 关键词: Improving; water; quality; modelling; better

Poor stream water quality is a critical problem in Australia and globally. Stream water quality depends directly on pathways and time taken for water to transport pollutants through catchments. Predicting these pathways is highly challenging and currently requires specialised data. This project aims to better model the movement of water from rainfall to streams, enable greatly improved use of water quality data routinely collected in Australia's catchments and thereby better predict water quality behaviour. Proposed field studies aim to support this development. The outcomes sought are improved planning and management of water quality in our rivers, lakes and estuaries, improved health of these water bodies and improved water supplies.

恶劣的溪流水质是澳大利亚乃至全球的一个严重问题。溪流水质直接取决于水通过集水区输送污染物的途径和时间。预测这些途径极具挑战性，目前需要专门的数据。该项目旨在更好地模拟从降雨到溪流的水的运动，极大地改善对澳大利亚集水区常规收集的水质数据的使用，从而更好地预测水质行为。拟议的实地研究旨在支持这一发展。所寻求的结果是改进我国河流、湖泊和河口水质的规划和管理，改善这些水体的健康状况，改善供水。