Special Research Initiatives - Grant ID: SR180100005
Funder
Australian Research Council
Funding Amount
$1,225,000.00
Summary
Remediation of PFAS contaminated soil using soil washing and immobilisation. This project aims to assess the applicability of soil washing and immobilisation as cost-effective techniques for the remediation of per- and poly-fluroalkyl substance (PFAS) contaminated Australian soils. The project expects to establish the efficacy of the remediation of a range of PFASs, including many polyfluorinated precursors of perfluorinated, chemically-persistent legacy pollutants which are of concern. The proj ....Remediation of PFAS contaminated soil using soil washing and immobilisation. This project aims to assess the applicability of soil washing and immobilisation as cost-effective techniques for the remediation of per- and poly-fluroalkyl substance (PFAS) contaminated Australian soils. The project expects to establish the efficacy of the remediation of a range of PFASs, including many polyfluorinated precursors of perfluorinated, chemically-persistent legacy pollutants which are of concern. The project will provide a scientific basis for understanding the benefits and limitations associated with soil washing and immobilisation techniques and a more comprehensive understanding of future liabilities associated with formation of PFASs from precursors remaining in remediated soils. Collaboration with stakeholders will ensure benefits are captured both commercially and environmentally, as well as removing a potential and on-going health threat to communities exposed to these contaminants.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH200100023
Funder
Australian Research Council
Funding Amount
$4,950,000.00
Summary
ARC Research Hub for Innovative Nitrogen Fertilisers and Inhibitors. This Hub aims to transform agriculture by delivering a new class of nitrogen (N) fertilisers and inhibitors designed to stem the 50-80% losses to the environment in current products. It is intended to generate new knowledge and valuable intellectual property in controlled released and coated N fertiliser products using a novel co-design process involving representatives of the whole value chain from product design through to va ....ARC Research Hub for Innovative Nitrogen Fertilisers and Inhibitors. This Hub aims to transform agriculture by delivering a new class of nitrogen (N) fertilisers and inhibitors designed to stem the 50-80% losses to the environment in current products. It is intended to generate new knowledge and valuable intellectual property in controlled released and coated N fertiliser products using a novel co-design process involving representatives of the whole value chain from product design through to validation and adoption. The project estimates possible 20% gains in efficiency of N use, delivering large costs savings, improved productivity, increased profitability and decreased environmental impacts, helping the Australian food and agribusiness sector to reach its 2030 target of $100B value added.Read moreRead less
Nature's mechanisms for leaching and remobilising metals. This project aims to understand the chemical and physical processes that govern reactive transport and metal scavenging in rocky environments. Much of Australia's mineral wealth is the result of the interaction of warm fluids with rocks deep in the Earth over geological timescales. The formation of ore deposits is governed by the physical chemistry of mineral dissolution and crystallisation, and by fluid flow through porous rocks and frac ....Nature's mechanisms for leaching and remobilising metals. This project aims to understand the chemical and physical processes that govern reactive transport and metal scavenging in rocky environments. Much of Australia's mineral wealth is the result of the interaction of warm fluids with rocks deep in the Earth over geological timescales. The formation of ore deposits is governed by the physical chemistry of mineral dissolution and crystallisation, and by fluid flow through porous rocks and fractures. This project integrates innovation in geology, chemistry, and mineral engineering, and will deliver mineral-scale reaction models that will increase efficiency of in-situ mining and leaching technologies. Knowledge generated can be applied to improve mineral exploration, mining, and processing, contributing to unlocking billions of dollars’ worth of resources tied up in low grade, mineralogically complex ores.Read moreRead less
Controlling arsenic to unlock value in gold and copper resources. This project aims to characterise the transformation of arsenic between oxidation states during mineral processing. Up to one third of the world’s gold reserves are locked up in arsenic rich minerals and 5000 tonnes of arsenic is released annually from mine waste. The project will enable the development of process technology that immobilises and removes arsenic at the earliest possible stage. The use of novel time-resolved in-situ ....Controlling arsenic to unlock value in gold and copper resources. This project aims to characterise the transformation of arsenic between oxidation states during mineral processing. Up to one third of the world’s gold reserves are locked up in arsenic rich minerals and 5000 tonnes of arsenic is released annually from mine waste. The project will enable the development of process technology that immobilises and removes arsenic at the earliest possible stage. The use of novel time-resolved in-situ techniques proposed in this research will give vital information of the complex chemical pathways involved during processing which current characterization methods on pre- and post-processed species do not achieve.Read moreRead less
Groundwater flow age distributions: Understanding open pit mine hydrology. This project aims to improve the estimation of the age of groundwater. Understanding groundwater age is critical for sustainable management and environmental tracers are increasingly used for this purpose. However, groundwater samples are inevitably mixtures of water of different ages. Since for most tracers the relationship between tracer concentration and age is not linear, different tracers can produce different mean a ....Groundwater flow age distributions: Understanding open pit mine hydrology. This project aims to improve the estimation of the age of groundwater. Understanding groundwater age is critical for sustainable management and environmental tracers are increasingly used for this purpose. However, groundwater samples are inevitably mixtures of water of different ages. Since for most tracers the relationship between tracer concentration and age is not linear, different tracers can produce different mean ages for the sample. This project aims to determine whether it is possible to determine moments of the groundwater age distributions from measurements made with different environmental tracers. The project also aims to examine whether the degree of heterogeneity within the aquifer can be determined from the disparity between ages obtained with different tracers. This project aims to tackle the largest problem with using groundwater chemistry to estimate water age – that mixing processes in the subsurface are never known. Solving this problem will allow much more accurate estimates of groundwater velocity and aquifer recharge rates. The groundwater industry contributes an estimated $6.8 billion per annum to the Australian economy, and this project will contribute to the sustainable management of the groundwater resource.Read moreRead less
Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical b ....Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical books. Libraries and legal, social and data science researchers will investigate eBook lending practices and understand their social impacts. The project will identify ways of reforming policy, law, and practice to help libraries fulfil their public interest missions. This project is expected to enable libraries to extract more value from existing public investments.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100156
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Computational infrastructure for machine learning in computer vision. The many trillions of images stored on computers around the world, including more than 100 billion on Facebook alone, represent exactly the information needed to develop artificial vision. All we need do is extract it. This project will develop the computational infrastructure required to allow Australian researchers to achieve this goal.
Effect of faults and barriers on groundwater flow and solute transport. This project will address the role of faults and dykes on groundwater flow and solute transport. Faults and dykes can act as barriers to groundwater flow, yet faults can also be conduits for flow through otherwise impermeable layers. Understanding their role is critical to assessing the impacts of mining, unconventional gas and water resource developments. This project expects to develop new methods to quantify groundwater f ....Effect of faults and barriers on groundwater flow and solute transport. This project will address the role of faults and dykes on groundwater flow and solute transport. Faults and dykes can act as barriers to groundwater flow, yet faults can also be conduits for flow through otherwise impermeable layers. Understanding their role is critical to assessing the impacts of mining, unconventional gas and water resource developments. This project expects to develop new methods to quantify groundwater flow through and along faults and dykes by combining geological, hydraulic and geochemical approaches with detailed 3D numerical models. The expected outcome will be an improved understanding of the role of faults and barriers in subsurface hydrology, and an improved ability to model complex groundwater systems.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC180100030
Funder
Australian Research Council
Funding Amount
$3,925,357.00
Summary
ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching ....ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less