A new perturbation method for solving singular operator equations with applications to complex systems. This project will develop new methods for analysis of web-based search routines such as Google PageRank, a new algorithm for optimal estimation of random signals, more accurate error analysis in the approximate solution of singular systems of equations and enhanced understanding of models for the simulated management of urban stormwater. The project will involve collaboration between two Aus ....A new perturbation method for solving singular operator equations with applications to complex systems. This project will develop new methods for analysis of web-based search routines such as Google PageRank, a new algorithm for optimal estimation of random signals, more accurate error analysis in the approximate solution of singular systems of equations and enhanced understanding of models for the simulated management of urban stormwater. The project will involve collaboration between two Australian universities and a leading European Research Institute. It will provide employment and vital training for two postdoctoral Research fellows and research projects for three postgraduate students and two honours students.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
Improving flow management for the control of blue-green algal blooms. Cyanobacterial (blue-green algal) blooms are a major water quality problem worldwide. They are toxic, produce odours and are estimated to cost around $200 million/year in Australia alone. Flow management is one of the most promising approaches for combating the cyanobacterial bloom problem in rivers. In this research, a new risk-based approach for quantifying the impact of flow management on cyanobacterial blooms is developed, ....Improving flow management for the control of blue-green algal blooms. Cyanobacterial (blue-green algal) blooms are a major water quality problem worldwide. They are toxic, produce odours and are estimated to cost around $200 million/year in Australia alone. Flow management is one of the most promising approaches for combating the cyanobacterial bloom problem in rivers. In this research, a new risk-based approach for quantifying the impact of flow management on cyanobacterial blooms is developed, which can be applied to rivers world wide. The utility of the approach is demonstrated for key sites in the Murray-Darling basin, providing a valuable decision support tool for river managers.Read moreRead less
Control Of Aggregate Structure, Settling And Dewatering In Mineral Tailings Processing. Modification of aggregate structures in mineral processing will lead to improved dewatering in tailings operations. In mine site rehabilitation and tailings utilisation, technology developed in this project may save not only millions of dollars in more efficient processing and tailing deposition but also help to better reuse our limited national water resources.
Adaptive Agents Simulation of Freshwater Ecosystems: Artificial Intelligence Framework to Discover and Forecast Emergent Ecosystem Structures and Behaviours in Response to Environmental Changes. The project aims at intelligent adaptive agent models for lakes and rivers in order to improve understanding and proactive management of these highly complex ecosystems. Little is known about species succession in freshwater ecosystems in response to local and global environmental changes. Evolutionary a ....Adaptive Agents Simulation of Freshwater Ecosystems: Artificial Intelligence Framework to Discover and Forecast Emergent Ecosystem Structures and Behaviours in Response to Environmental Changes. The project aims at intelligent adaptive agent models for lakes and rivers in order to improve understanding and proactive management of these highly complex ecosystems. Little is known about species succession in freshwater ecosystems in response to local and global environmental changes. Evolutionary algorithms embodied in differential equations, neural networks and rules allow adaptive agents to simulate emergent structures and behaviours of algae and zooplankton communities interacting by competition and predation. The agents are trained and tested by ecological time-series of twelve lakes and rivers, and validated for the Mediterranean Myponga Reservoir, South Australia, and the temperate Burrinjuck Reservoir, NSW.Read moreRead less
New Techniques for Artificial Neural Network Modelling in Hydrology. In recent years, artificial neural networks (ANNs) have demonstrated the potential to provide improved predictions when compared with the more traditional hydrological modelling techniques in a number of areas. These include the prediction of rainfall, streamflow and water quality parameters. However, one of the major difficulties associated with the application of ANNs is the lack of an established methodology for their design ....New Techniques for Artificial Neural Network Modelling in Hydrology. In recent years, artificial neural networks (ANNs) have demonstrated the potential to provide improved predictions when compared with the more traditional hydrological modelling techniques in a number of areas. These include the prediction of rainfall, streamflow and water quality parameters. However, one of the major difficulties associated with the application of ANNs is the lack of an established methodology for their design and implementation. This research will develop new methods for constructing ANN models and test them on a number of case studies so that the full potential and genuine utility of ANNs for solving hydrological problems can be assessed.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100149
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
Spectroscopic imaging for materials, minerals and life sciences. The spectroscopic imaging equipment highlighted in this proposal will produce a number of outcomes of national benefit. First, it will elevate the impact of research in materials, minerals, and life sciences in Australia, all of which are key areas for the national economy and community. Second, the equipment will be integral to the teaching and research nexus and experiential learning facility for a new wave of materials science ....Spectroscopic imaging for materials, minerals and life sciences. The spectroscopic imaging equipment highlighted in this proposal will produce a number of outcomes of national benefit. First, it will elevate the impact of research in materials, minerals, and life sciences in Australia, all of which are key areas for the national economy and community. Second, the equipment will be integral to the teaching and research nexus and experiential learning facility for a new wave of materials science and engineering students to be educated at UniSA in the EIF-funded M2 building at Mawson Lakes. Finally, the anticipated outcomes of the research to be supported are significant and relate clearly to a number of National Research Priorities.Read moreRead less