Impact of natural organic matter and nutrients on water quality: Identification of catchment sources and attenuation processes.

天然有机质和营养物对水质的影响：流域来源和衰减过程的识别。

• 批准号: Local : research.unisa.edu.au/project/35190
• 负责人: Prof John Van Leeuwen
• 金额: --
• 依托单位国家: 澳大利亚
• 财政年份: 2011
• 资助国家: 澳大利亚
• 起止时间: 2011-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/impact-natural-organic-attenuation-processes/932933
• 关键词: Impact; natural; organic; matter; nutrients

This project aims to develop a catchment management decision support model (CMDSM) that enables determination of the impacts of land-use on water resources within catchments and links water quality to treatability at treatment plants. This will be done by generation of multidisciplinary data of representative, and contrasting sub-catchments to elucidate relationships between key catchment features such as geochemistry, topography, soils and land-use with climate, water quality and treatability. The CMDSM will enable improved short and long-term planning of catchment management that secures water resources. Specific developments include concept models and mathematical modelling approaches for prediction of water quality and treatability

该项目旨在开发一个集水管理决策支持模型（CMDSM），该模型能够确定集水区内土地利用对水资源的影响，并将水质与处理厂的可处理性联系起来。这将通过生成代表性的多学科数据和对比子集水区来完成，以阐明关键集水区特征（如地球化学、地形、土壤和土地利用）与气候、水质和可处理性之间的关系。CMDSM将能够改善集水管理的短期和长期规划，以确保水资源。 具体的发展包括预测水质和可处理性的概念模型和数学建模方法