Assessing risk of oligomictic conditions in sub-tropical water supply lakes. Assessing risk of oligomictic conditions in sub-tropical water supply lakes. This project aims to assess the risk of low rates of mixing in sub-tropical drinking water supply reservoirs, using environmental monitoring and numerical modelling. Emerging evidence suggests sub-tropical drinking water supply reservoirs could transition to low mixing states with increasing age and projected changes in global climate. While th ....Assessing risk of oligomictic conditions in sub-tropical water supply lakes. Assessing risk of oligomictic conditions in sub-tropical water supply lakes. This project aims to assess the risk of low rates of mixing in sub-tropical drinking water supply reservoirs, using environmental monitoring and numerical modelling. Emerging evidence suggests sub-tropical drinking water supply reservoirs could transition to low mixing states with increasing age and projected changes in global climate. While this risk is poorly understood, it could significantly affect the long-term reliability of water supply and potable water treatment costs. Addressing this knowledge gap is expected to develop effective management responses to ensure the long term sustainable use of these water resources.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
Erosion of embankment dams and dam spillways. In excess of $250M is spent annually to maintain, upgrade, improve safety and monitor performance of Australian dams. Improved methods for assessing both spillway and internal erosion, the cause of 50 per cent of embankment dam failures and incidents requiring repairs, will be developed, maximising dam safety and minimising maintenance expenditure.