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
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.
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
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