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
On-line monitoring of cyanobacteria to predict coagulant doses and powdered activated carbon application in water treatment. Cyanobacteria, more commonly known as blue-green algae, can impact water quality by releasing toxins that can be harmful to human health and imparting unpleasant taste and odours to the water. This project will support the water industry in managing these risks by providing a rapid, on-line tool to assist in their removal during water treatment.
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100035
Funder
Australian Research Council
Funding Amount
$1,205,137.00
Summary
Founding an Australian Critical Zone Observatory Network. This proposal founds a new network of Australian Critical Zone Observatories. The network will fill essential knowledge gaps about interactions of under- and above-ground environmental processes and their responses to disturbance and change. These interactions determine the sustainability of food, clean water, mineral resources and Australian ecosystems, and cannot be studied with existing environmental infrastructure. The 5 foundation ....Founding an Australian Critical Zone Observatory Network. This proposal founds a new network of Australian Critical Zone Observatories. The network will fill essential knowledge gaps about interactions of under- and above-ground environmental processes and their responses to disturbance and change. These interactions determine the sustainability of food, clean water, mineral resources and Australian ecosystems, and cannot be studied with existing environmental infrastructure. The 5 foundational sites will host integrated monitoring equipment to observe stocks and fluxes of carbon, water, energy and mass across the “Critical Zone” – the vertical span from plant canopies to fresh bedrock. Joining a burgeoning international movement, the network will catalyse Critical Zone science in Australia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100213
Funder
Australian Research Council
Funding Amount
$335,000.00
Summary
Optimising the National Benefits From Restoring Environmental Water Flows. The project plans to evaluate strategies that may maximise the national benefits from restoring environmental flows in Australia’s Murray–Darling Basin (MDB). MDB water supply is characterised by prolonged droughts and flood events, and future climatic projections anticipate that these water supply events will intensify. As the uncertainty of future water supply increases, it is important that the volume of water provided ....Optimising the National Benefits From Restoring Environmental Water Flows. The project plans to evaluate strategies that may maximise the national benefits from restoring environmental flows in Australia’s Murray–Darling Basin (MDB). MDB water supply is characterised by prolonged droughts and flood events, and future climatic projections anticipate that these water supply events will intensify. As the uncertainty of future water supply increases, it is important that the volume of water provided by the portfolio of water rights is known. By examining how decision-makers adapt to water supply uncertainty, optimal management strategies could be determined for watering key ecological assets, trading water between irrigators and the government; and private and public investments.Read moreRead less
Mitigation of silica nanoparticle scaling in water treatment. This project aims to develop strategies to mitigate silica scaling at coal seam gas (CSG) water treatment facilities. CSG is adsorbed to the surface of coal along fractures and cleats and released when pressure is reduced by removal of groundwater, which has chemistry specific to the region from which it is extracted. Desalination of produced water is severely impacted by mineral scaling on reverse osmosis membranes. This project will ....Mitigation of silica nanoparticle scaling in water treatment. This project aims to develop strategies to mitigate silica scaling at coal seam gas (CSG) water treatment facilities. CSG is adsorbed to the surface of coal along fractures and cleats and released when pressure is reduced by removal of groundwater, which has chemistry specific to the region from which it is extracted. Desalination of produced water is severely impacted by mineral scaling on reverse osmosis membranes. This project will consider silica and silica-rich nanoparticles in concert with cations and organics, with the aim of better managing cations so to facilitate nanoparticle lubrication. Project outcomes may include more productive use of assets, improved pre-treatment infrastructure to support reverse osmosis operation, and the environmental benefits of reduced chemical waste and increased water recovery.Read moreRead less
Production of Biodegradable Polyhydroxyalkanoate Polymers using Advanced Biological Wastewater Treatment Process Technology. The aim of this project is to develop a sustainable process for producing biodegradable polyhydroxyalkanoate (PHAs)polymers from an innovative aerobic-anaerobic biological wastewater treatment process, ?treating? high strength food industry effluent. These biopolymers offer enormous potential for use as renewable and biodegradable thermoplastics.
It is proposed to inve ....Production of Biodegradable Polyhydroxyalkanoate Polymers using Advanced Biological Wastewater Treatment Process Technology. The aim of this project is to develop a sustainable process for producing biodegradable polyhydroxyalkanoate (PHAs)polymers from an innovative aerobic-anaerobic biological wastewater treatment process, ?treating? high strength food industry effluent. These biopolymers offer enormous potential for use as renewable and biodegradable thermoplastics.
It is proposed to investigate two process configurations, namely the sequencing batch reactor and a continuous two step anaerobic-aerobic reaction system. These will be studied at bench-scale. The outcomes include:
1. Determination of the optimum microbial conditions and key growth
parameters for the production of PHA.
2. Optimisation of the process configuration, operating strategies
and operating conditions to maximise the
production of PHA.
3. Assessment of the influence of the feed composition (e.g. VFA)
on the PHA composition (PHB/PHV).
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Hydrogeological drivers and fate of spring flow in a semi-arid setting. In arid and semi-arid climates, aquatic and terrestrial ecosystems often rely on groundwater springs. Spring hydrology depends on complex relationships between underlying aquifers and surface conditions, leading to high uncertainties in understanding aquifer-spring-wetland hydrology, which is critical for spring ecosystem protection and to inform management of relevant groundwater-affecting activities. This project will appl ....Hydrogeological drivers and fate of spring flow in a semi-arid setting. In arid and semi-arid climates, aquatic and terrestrial ecosystems often rely on groundwater springs. Spring hydrology depends on complex relationships between underlying aquifers and surface conditions, leading to high uncertainties in understanding aquifer-spring-wetland hydrology, which is critical for spring ecosystem protection and to inform management of relevant groundwater-affecting activities. This project will apply novel hydrogeophysical and hydrochemical methods, and computer modelling, to investigate the source aquifer of, and fate of discharge from the Doongmabulla Springs Complex (DSC), located in an area of future development. Project results will inform spring vulnerability to development pressures and climate effects.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
Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosio ....Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosion and odour management a problem. Innovative control methodology will simultaneously manipulate chemical dosing unit(s) and selected sewage pumping station(s), based on real-time prediction of sewage flows and characteristics both at sources and across the network, to ensure optimal delivery of dosed chemicals to mitigate hydrogen sulphide.Read moreRead less