Multi-variable based vegetation monitoring and prediction during droughts. This project aims to reduce the uncertainties in characterizing and predicting drought impacts on Australian ecosystems. This project is expected to better understand how vegetation responded to hydro-meteorological conditions from the onset to termination stages during Australian droughts in the past 40 years, by investigating the newly developed first global long-term vegetation water content record from satellites. Exp ....Multi-variable based vegetation monitoring and prediction during droughts. This project aims to reduce the uncertainties in characterizing and predicting drought impacts on Australian ecosystems. This project is expected to better understand how vegetation responded to hydro-meteorological conditions from the onset to termination stages during Australian droughts in the past 40 years, by investigating the newly developed first global long-term vegetation water content record from satellites. Expected outcomes of this project will be the enhanced capacity to better identify early warning signals and more accurately predict vegetation responses to future droughts. This should provide significant benefits in developing drought mitigation strategies for national agricultural production and water resource allocation.Read moreRead less
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