Improving water quality modelling by better understanding solute transport. 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 ....Improving water quality modelling by better understanding solute transport. 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.Read moreRead less
New approach to sensitivity assessment of complex simulation models for environmental management. The aims are (1) to develop new techniques that improve and extend the capabilities of sensitivity analysis of large and complex computer models for environmental management; and (2) with the industry partners, to test these techniques on models for salinity management in the Murray-Darling Basin. The project's significance is in providing new techniques able to answer a range of model users? questi ....New approach to sensitivity assessment of complex simulation models for environmental management. The aims are (1) to develop new techniques that improve and extend the capabilities of sensitivity analysis of large and complex computer models for environmental management; and (2) with the industry partners, to test these techniques on models for salinity management in the Murray-Darling Basin. The project's significance is in providing new techniques able to answer a range of model users? questions at acceptable computational cost, for complex models with outputs measured in a wide variety of ways. The outcomes will be new sensitivity assessment tools and experience of their use in an environmental application of great importance to Australia.Read moreRead less