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
Biogeochemical remediation approaches for PFAS contaminated environments. This project aims to identify and harvest microorganisms capable of directly or indirectly affecting PFOS or PFOA degradation in the environment. Fluorinated compounds such as PFOS and PFOA in firefighting foams are contaminants of concern now routinely detected in contaminated groundwater and soil globally. Understanding the role of microorganisms, and the biogeochemical processes they perform in relation to fluorinated c ....Biogeochemical remediation approaches for PFAS contaminated environments. This project aims to identify and harvest microorganisms capable of directly or indirectly affecting PFOS or PFOA degradation in the environment. Fluorinated compounds such as PFOS and PFOA in firefighting foams are contaminants of concern now routinely detected in contaminated groundwater and soil globally. Understanding the role of microorganisms, and the biogeochemical processes they perform in relation to fluorinated compounds, will inform handling of contaminated sites and lead to development of cost effective and sustainable remediation technologies. Read moreRead less
Towards sustainable co-management of groundwater in the Beetaloo region, NT. This project aims to improve understanding of connections between groundwater, climate, surface water and Indigenous cultural values, in a region of major resource development in the Northern Territory. It will use a novel, inter-disciplinary approach, involving remote sensing of climate-water-landscape interactions, documenting Indigenous water knowledge, environmental isotope monitoring, and water policy analysis. The ....Towards sustainable co-management of groundwater in the Beetaloo region, NT. This project aims to improve understanding of connections between groundwater, climate, surface water and Indigenous cultural values, in a region of major resource development in the Northern Territory. It will use a novel, inter-disciplinary approach, involving remote sensing of climate-water-landscape interactions, documenting Indigenous water knowledge, environmental isotope monitoring, and water policy analysis. The project expects to generate enhanced understanding of hydrological processes, and associated Indigenous cultural values. This is anticipated to improve capacity to analyse risks to groundwater-dependent values, and foster greater Indigenous participation in water planning and monitoring, benefiting multiple stakeholders.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Controllable quantum phases in two-dimensional metal-organic nanomaterials. This project aims to design novel two-dimensional metal-organic nanomaterials and to control electronic quantum phases therein. The project expects to generate new fundamental knowledge in advanced materials, solid-state physics and quantum nanoscience. It will rely on supramolecular chemistry to synthesise new atomically precise functional materials. Expected outcomes include the fabrication of new advanced nanomaterial ....Controllable quantum phases in two-dimensional metal-organic nanomaterials. This project aims to design novel two-dimensional metal-organic nanomaterials and to control electronic quantum phases therein. The project expects to generate new fundamental knowledge in advanced materials, solid-state physics and quantum nanoscience. It will rely on supramolecular chemistry to synthesise new atomically precise functional materials. Expected outcomes include the fabrication of new advanced nanomaterials, as well as the observation and control of new quantum phenomena therein. The project should provide significant benefits, such as advancing basic research in quantum nanomaterials, and aiding to lay the foundation for next-generation electronics and information technologies.Read moreRead less
Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it i ....Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.Read moreRead less
ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals. The aim of the Centre is to progress scientific knowledge to establish transformational improvement in minerals beneficiation, essential for meeting global demand for metals. The research aims to achieve more selective, faster, and efficient separations, combining major advances in separation technologies with increased functionality of new reagents. The Centre outcomes will also ensure the sustainability of the miner ....ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals. The aim of the Centre is to progress scientific knowledge to establish transformational improvement in minerals beneficiation, essential for meeting global demand for metals. The research aims to achieve more selective, faster, and efficient separations, combining major advances in separation technologies with increased functionality of new reagents. The Centre outcomes will also ensure the sustainability of the minerals industry in Australia, through a significant reduction in cost, environmental impact, and through lower energy and water usage. The Centre also seeks to establish a new generation of scientists and research leaders in minerals beneficiation to support the innovation needed into the future by this major Australian industry.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100017
Funder
Australian Research Council
Funding Amount
$3,703,664.00
Summary
ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource ....ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource attributes, maximising value ‘on the fly’. Benefits will include increasing certainty on product quality and maximising throughput and recovery. Outcomes will include new tools to rapidly model geological and geometallurgical uncertainty with sensor inputs, to track the resource to product and enhance interpretation.Read moreRead less
Revolutionising water-quality monitoring in the information age. In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection ....Revolutionising water-quality monitoring in the information age. In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection in water-quality data and generating predictions of sediment and nutrient concentrations throughout river networks in near-real time. This will represent a fundamental increase in scientific knowledge, which will be immediately useful in the domains of aquatic science, environmental monitoring, and statistics.Read moreRead less
A global standard for the status of Wetlands of International Importance. The project will develop and test a new global standard for the assessment and reporting on ecological condition of internationally important wetlands, listed under the Ramsar Convention. It has four aims: establishment of a strategic adaptive management and governance framework, a meta-analysis of the 2,303 internationally listed wetlands, development of a protocol for assessment and prediction and delivering a digital re ....A global standard for the status of Wetlands of International Importance. The project will develop and test a new global standard for the assessment and reporting on ecological condition of internationally important wetlands, listed under the Ramsar Convention. It has four aims: establishment of a strategic adaptive management and governance framework, a meta-analysis of the 2,303 internationally listed wetlands, development of a protocol for assessment and prediction and delivering a digital reporting platform for effective management. The project is significant because it tackles the decline of freshwater ecosystems, by targeting the most prominent wetlands. It also assists state and national governments to meet their obligations under the Ramsar Convention and most importantly guides more effective management.Read moreRead less