Passive biofiltration processes for nitrogen removal from polluted waters. Traditional urban wastewater treatment is energy and resource demanding. By combining principles of Water Sensitive Urban Design (WSUD) with advanced pollutant removal processes, we will create necessary knowledge to underpin development of novel sustainable urban water treatment systems. This project aims to understand and utilise Simultaneous Nitrification, Anammox and Denitrification (SNAD) processes within passive pla ....Passive biofiltration processes for nitrogen removal from polluted waters. Traditional urban wastewater treatment is energy and resource demanding. By combining principles of Water Sensitive Urban Design (WSUD) with advanced pollutant removal processes, we will create necessary knowledge to underpin development of novel sustainable urban water treatment systems. This project aims to understand and utilise Simultaneous Nitrification, Anammox and Denitrification (SNAD) processes within passive plant-soil-based biofilters for cost-effective removal of nitrogen from a range of polluted urban water sources. The project will open a potential for a new technological advancements in urban water management, while simultaneously providing benefits to the environment and community through greening and waterway protection.Read moreRead less
Activating lazy stormwater wetlands through real time monitoring & control. Constructed stormwater wetlands are the last line of defence preventing pollution of urban waterways, but wetlands often fail, with their passive operation unable to adapt to the highly variable climate and hydrology they experience. This project aims to use advances in real-time control technology to turn these lazy wetlands into active wetland systems, optimising their performance. It aims to deliver new-generation tec ....Activating lazy stormwater wetlands through real time monitoring & control. Constructed stormwater wetlands are the last line of defence preventing pollution of urban waterways, but wetlands often fail, with their passive operation unable to adapt to the highly variable climate and hydrology they experience. This project aims to use advances in real-time control technology to turn these lazy wetlands into active wetland systems, optimising their performance. It aims to deliver new-generation technologies to enhance water quality treatment, enhance urban water security and guarantee environmental flows to maintain healthy waterways. Working in partnership with waterway managers and water retailers, this project strives to deliver a nationally and globally relevant technology to change how we manage water in cities.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
A robust integrated streamflow forecasting framework for Australian water information and management agencies. This project aims to deliver an accurate and reliable seasonal streamflow forecasting system for Australian water users by developing a flexible rainfall-runoff modelling approach integrated into a Bayesian inference and prediction framework. These scientific developments aim to significantly advance the operational capabilities of the Australian Bureau of Meteorology to deliver robust ....A robust integrated streamflow forecasting framework for Australian water information and management agencies. This project aims to deliver an accurate and reliable seasonal streamflow forecasting system for Australian water users by developing a flexible rainfall-runoff modelling approach integrated into a Bayesian inference and prediction framework. These scientific developments aim to significantly advance the operational capabilities of the Australian Bureau of Meteorology to deliver robust streamflow forecasts to water agencies such as South East Queensland Water and others across Australia. Accurate predictions of future water flows are of tremendous value to urban and rural Australian communities whose economic prosperity, water security and social well-being depend on reliable estimates of water availability.Read moreRead less
Multi-scale, two-phase flow in complex coal seam systems. Australia is the world’s leading coal exporter and a large consumer of coal. This project aims to fill key knowledge gaps that underpin the challenge facing the coal industry and environmental agencies in assessing the impact of coal mining on the surrounding environment, in particular, adjacent river and groundwater systems.
Urban flood modelling at speed and scale. Frequent floods in urban areas cause damages comparable to extreme floods. This is likely to intensify with future urbanisation and climate change. Although Water Sensitive Urban Design (WSUD) offers sustainable urban drainage solutions, there are no models that can select an optimal WSUD system to deliver on a set urban flood mitigation target. The project aims to develop a new generation of fast urban flood models and the-first-of-its-kind WSUD plannin ....Urban flood modelling at speed and scale. Frequent floods in urban areas cause damages comparable to extreme floods. This is likely to intensify with future urbanisation and climate change. Although Water Sensitive Urban Design (WSUD) offers sustainable urban drainage solutions, there are no models that can select an optimal WSUD system to deliver on a set urban flood mitigation target. The project aims to develop a new generation of fast urban flood models and the-first-of-its-kind WSUD planning tool to support industry and governments to effectively reduce the urban flooding damages. The project outcomes are also applicable for advancing early warning systems and real-time control of floods.Read moreRead less
Smart metering founding a holistic evidence-based performance evaluation framework and demand forecasting model for diversified water supply schemes. The Australian water industry faces the challenge of catering for the potable water demand of a rapidly expanding population with reduced reliability on supply imposed by an increasingly variable climate. Diversified water supply schemes (DWSS) incorporating decentralised systems or reuse sources are touted as a means to handle the inherent weaknes ....Smart metering founding a holistic evidence-based performance evaluation framework and demand forecasting model for diversified water supply schemes. The Australian water industry faces the challenge of catering for the potable water demand of a rapidly expanding population with reduced reliability on supply imposed by an increasingly variable climate. Diversified water supply schemes (DWSS) incorporating decentralised systems or reuse sources are touted as a means to handle the inherent weaknesses of centralised urban water supply schemes by potentially drawing 30-50 per cent less demand on their reserves. This research study will provide evidence to support the implementation of best practice DWSS based on an evidence based holistic assessment of their performance considering potable water savings, capital and operation costs, energy demand, as well as environmental and community impacts.Read moreRead less
Developing a truly intelligent water meter through advanced data analytics. Developing a truly intelligent water meter through advanced data analytics. This project aims to develop intelligent pattern recognition algorithms using international data sets to autonomously categorise household water consumption data into end-uses (e.g. showers, leaks). Despite intelligent meters, big data chokes rather than enables decision making for customers and utilities. This project will resolve information sy ....Developing a truly intelligent water meter through advanced data analytics. Developing a truly intelligent water meter through advanced data analytics. This project aims to develop intelligent pattern recognition algorithms using international data sets to autonomously categorise household water consumption data into end-uses (e.g. showers, leaks). Despite intelligent meters, big data chokes rather than enables decision making for customers and utilities. This project will resolve information synthesis concerns using a combination of non-linear blind source separation techniques adapted from the pattern recognition, signal processing and decision science fields. Expected outcomes are that utilities will be leaders of sustainable water use in the information age, and that customers can use phones to access real-time data of water consumption.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
Optimum design of hydraulic structures in rural and urban Australia: dealing with floods and droughts. Australia's long-term forecast suggests the occurrence of longer and more frequent droughts, and more intense flood events. The project will study the fundamental hydrodynamic processes in hydraulic structures and aims to develop new innovative designs derived from process based approach for optimum operation in rural and urban Australia.