Optimising seasonal decisions for environmental water use. This project will develop a tool to optimise the use of environmental water, drawing on seasonal forecasts of streamflow and water price, and predicted ecological responses to changing flows. This tool will strengthen the effectiveness of the government organisations responsible for managing Australia's environmental water reserves.
Advances in real-time satellite monitoring of flow in rivers and estuaries. This project plans to improve the monitoring of our waterways by developing a novel moving drifter system that takes flow and water quality measurements along the pathlines of the drifters. One of the key challenges for Australian water management lies in monitoring and managing rivers and estuaries effectively over large geographical areas. Traditionally, instrumentation at stationary points has been used for such monit ....Advances in real-time satellite monitoring of flow in rivers and estuaries. This project plans to improve the monitoring of our waterways by developing a novel moving drifter system that takes flow and water quality measurements along the pathlines of the drifters. One of the key challenges for Australian water management lies in monitoring and managing rivers and estuaries effectively over large geographical areas. Traditionally, instrumentation at stationary points has been used for such monitoring, under the simplifying assumption that a single point adequately represents a very large region of water. By contrast, the Real-Time Flow Logging of Water (RT-FLOW) system expects to provide information from large regions of our waterways, providing stakeholders with more information to enable them to better manage issues including storm surge and erosion. The project also aims to provide improved validation of hydrodynamic models.Read moreRead less
Unlocking the secrets of mangrove conservation success. This project aims to address the deterioration of mangrove ecosystems. Mangroves support fisheries, shoreline protection and carbon sequestration. The project aims to identify social-economic conditions that enable effective conservation in mangroves over multiple spatial scales. The project will use state of the art datasets and innovative modelling approaches to understand how factors such as population, governance and access to markets i ....Unlocking the secrets of mangrove conservation success. This project aims to address the deterioration of mangrove ecosystems. Mangroves support fisheries, shoreline protection and carbon sequestration. The project aims to identify social-economic conditions that enable effective conservation in mangroves over multiple spatial scales. The project will use state of the art datasets and innovative modelling approaches to understand how factors such as population, governance and access to markets influence changes in mangrove extent and restoration success. Expected outcomes include implementation of more effective environmental programs in Australia and overseas. This should provide significant benefits, including more cost-effective allocation of resources and increased delivery of ecosystem services.Read moreRead less
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
Mega spatial-scale, multi time-scale, ensemble assessment of climate change driven coastal change in South Eastern Australia. Climate change driven variations in mean sea level, storm surges, and waves will change the world's coastline. This project will, for the first time, develop innovative modelling methods to quantify the integrated impact of these climate drivers on coastal erosion along Australia's most developed and populated coastline: Sydney to Brisbane.
WAKE FLOWS WITH UPSTREAM TURBULENCE IN MARINE, ATMOSPHERIC AND BUILT ENVIRONMENTS. Through improved understanding of turbulent wakes the project will have applications across aeronautics and hydrodynamics, leading to more efficient engineering designs to reduce flow drag. In marine environments our findings will improve coastal ocean models and the prediction of pollutant dispersal, nutrient fluxes and sediment transport, and contribute to the management of biological productivity (NRP 1.5). In ....WAKE FLOWS WITH UPSTREAM TURBULENCE IN MARINE, ATMOSPHERIC AND BUILT ENVIRONMENTS. Through improved understanding of turbulent wakes the project will have applications across aeronautics and hydrodynamics, leading to more efficient engineering designs to reduce flow drag. In marine environments our findings will improve coastal ocean models and the prediction of pollutant dispersal, nutrient fluxes and sediment transport, and contribute to the management of biological productivity (NRP 1.5). In the atmospheric boundary layer, the results will assist planners to improve wind environments near large buildings or clusters of buildings, benefiting the safety of aircraft at takeoff and landing. The project will develop collaboration and help maintain the strength of Australian research in environmental flows.Read moreRead less
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.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
A new-generation flood forecasting system using observations from space. Floods are dangerous and expensive, costing Australia more than any other cause of natural disaster. This project will use satellite measurements of soil moisture and rainfall along with computer models to improve the Bureau of Meteorology’s predictions of floods in rivers. Better flood forecasts will reduce costs and save lives.
Smart management of disinfectant in chloraminated water-supply systems. Smart management of disinfectant in chloraminated water-supply systems. This project aims to develop an adaptive, real-time control system for managing disinfectant residuals in chloraminated water supply systems. While chloramine delivers microbiologically safe drinking water in warmer climates and in long distribution systems, it is largely unpredictable, costs water utilities millions of dollars annually, and has uncertai ....Smart management of disinfectant in chloraminated water-supply systems. Smart management of disinfectant in chloraminated water-supply systems. This project aims to develop an adaptive, real-time control system for managing disinfectant residuals in chloraminated water supply systems. While chloramine delivers microbiologically safe drinking water in warmer climates and in long distribution systems, it is largely unpredictable, costs water utilities millions of dollars annually, and has uncertain benefits. This project’s control system will be guided by quantitative models formulated from multi-pronged, fundamental experiments. The project will quantify microbial chloramine decay and determine mechanisms to increase predictability. The project will develop and demonstrate a real-time control technology which delivered microbiologically safe, cost-efficient drinking water to people in warmer climates, despite warming climate and increasing population.Read moreRead less