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 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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100136
Funder
Australian Research Council
Funding Amount
$340,000.00
Summary
Mobile weather radar system for advanced environmental monitoring and modelling. High spatial and temporal resolution weather radar data on wind and precipitation will translate to significant environmental model advances. Australian researchers will undertake model validation studies on precipitation, dust storm, and flood prediction under a wider range of environmental conditions and in greater detail than currently possible.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100047
Funder
Australian Research Council
Funding Amount
$540,000.00
Summary
A multi-frequency microwave radiometer system for environmental research. A multi-frequency microwave radiometer system for environmental research: A new capability for airborne remote sensing of key environmental variables will be established. The unique P-, Ku- and Ka-band passive microwave radiometer system will provide information on soil moisture, surface temperature and vegetation, and allow for a new satellite concept to be demonstrated. By combining with an existing L-band radiometer, da ....A multi-frequency microwave radiometer system for environmental research. A multi-frequency microwave radiometer system for environmental research: A new capability for airborne remote sensing of key environmental variables will be established. The unique P-, Ku- and Ka-band passive microwave radiometer system will provide information on soil moisture, surface temperature and vegetation, and allow for a new satellite concept to be demonstrated. By combining with an existing L-band radiometer, data can be collected simultaneously at P-, L-, Ku- and Ka-bands, with increased spatial resolutions accordingly. The shorter wavelength, but higher spatial resolution data can be used to enhance the spatial resolution of the longer wavelength data, resulting in a capability to derive long wavelength observations from space at unprecedented spatial resolution.Read moreRead less
Impact of recycled and low quality process water on sustainable mineral processing practices. Water is in short supply and needs to be considered as a 'key reagent'. The quality of this reagent can vary widely. For a sustainable mineral processing practice, the use of recycled or low quality/saline process water will be essential for a plant to operate in the future. The major benefit is recognition that significant recycle of process water for flotation is achievable if simple water quality con ....Impact of recycled and low quality process water on sustainable mineral processing practices. Water is in short supply and needs to be considered as a 'key reagent'. The quality of this reagent can vary widely. For a sustainable mineral processing practice, the use of recycled or low quality/saline process water will be essential for a plant to operate in the future. The major benefit is recognition that significant recycle of process water for flotation is achievable if simple water quality control and management practices are implemented. In addition, a better understanding and control of water quality in recycled/saline process water may lead to improved flotation stability and performance, and reduced reagent consumption.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.
Discovery Early Career Researcher Award - Grant ID: DE160100577
Funder
Australian Research Council
Funding Amount
$372,536.00
Summary
Numerical modeling of hydraulic fracturing for unconventional gas recovery. The project seeks to improve our understanding of the mechanics and physics of hydraulic fracturing in unconventional shale/tight gas reservoirs. By determining key aspects of the mechanics and physics of hydraulic fractures in naturally fractured unconventional reservoirs the project aims to build an accurate continuum hydro-mechanical model for hydraulic fracturing stimulation. The new computational approach and softwa ....Numerical modeling of hydraulic fracturing for unconventional gas recovery. The project seeks to improve our understanding of the mechanics and physics of hydraulic fracturing in unconventional shale/tight gas reservoirs. By determining key aspects of the mechanics and physics of hydraulic fractures in naturally fractured unconventional reservoirs the project aims to build an accurate continuum hydro-mechanical model for hydraulic fracturing stimulation. The new computational approach and software is expected to improve our fundamental understanding of the underlying physics of initiation and propagation of hydraulic fractures and their interactions with pre-existing natural faults. This has the potential to benefit the natural gas industry by providing information for better hydraulic fracture treatments and mitigation of the inherent risks of hydraulic fracturing and other processes.Read moreRead less
Liquefaction of silty soils: Micromechanics, modelling and prediction. The project aims to develop a numerical approach to understand liquefaction in silty soils. Liquefaction of silty soils in submarine landslides, mine tailings dam failures and cargo liquefaction in vessels carrying iron/nickel ores can cause property loss and be fatal. This project will bridge the behaviours across the scales and deliver constitutive models that possess grain scale mechanisms for better prediction of liquefac ....Liquefaction of silty soils: Micromechanics, modelling and prediction. The project aims to develop a numerical approach to understand liquefaction in silty soils. Liquefaction of silty soils in submarine landslides, mine tailings dam failures and cargo liquefaction in vessels carrying iron/nickel ores can cause property loss and be fatal. This project will bridge the behaviours across the scales and deliver constitutive models that possess grain scale mechanisms for better prediction of liquefaction induced failure at the large scales. The expected outcomes are liquefaction criteria for silty soils with different silt contents and numerical tools to predict the onset of liquefaction and flow of liquefied soils.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100117
Funder
Australian Research Council
Funding Amount
$940,000.00
Summary
An advanced, macro-scale, hydro-thermo-mechanical testing chamber for sustainable deep geological applications. The Advanced Macro-scale Testing Chamber (AMTC) is a novel laboratory testing device capable of recreating deep geological conditions which can occur at depths of up to 13km underground. The AMTC will help scientists and engineers understand the Earth's behaviour during deep geological activities such as geothermal energy collection, pollutant disposal, underground mining and earthquak ....An advanced, macro-scale, hydro-thermo-mechanical testing chamber for sustainable deep geological applications. The Advanced Macro-scale Testing Chamber (AMTC) is a novel laboratory testing device capable of recreating deep geological conditions which can occur at depths of up to 13km underground. The AMTC will help scientists and engineers understand the Earth's behaviour during deep geological activities such as geothermal energy collection, pollutant disposal, underground mining and earthquake modelling.Read moreRead less