Dynamic Release Mechanisms for Phosphorus in Shallow Ponds and Lakes. Phosphorus release from submerged sediments is controlled by the physical and chemical environment. The mechanisms are well understood where thermal stratification is persistent but the behaviour during transient episodes has not been properly addressed. The aim is to study a dynamic chemical and hydraulic environment and develop a model of phosphorus release under these conditions. Algal blooms, which rely on high nutrient co ....Dynamic Release Mechanisms for Phosphorus in Shallow Ponds and Lakes. Phosphorus release from submerged sediments is controlled by the physical and chemical environment. The mechanisms are well understood where thermal stratification is persistent but the behaviour during transient episodes has not been properly addressed. The aim is to study a dynamic chemical and hydraulic environment and develop a model of phosphorus release under these conditions. Algal blooms, which rely on high nutrient concentrations, pose a significant threat to waterways yet a process-based description of phosphorus release is not yet possible. The outcome will be a verified model of phosphorus release mechanisms suitable for a range of water bodies.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
Development of innovative technologies for oil production based on the advanced theory of suspension flows in porous media. The project will significantly improve the commercial and technological competitiveness of the Australian oil industry and will result into immediate financial benefits for the largest Australian oil company SANTOS. The outcomes will find their application in a number of developing environmental and chemical engineering technologies, which fall into Australian Research Prio ....Development of innovative technologies for oil production based on the advanced theory of suspension flows in porous media. The project will significantly improve the commercial and technological competitiveness of the Australian oil industry and will result into immediate financial benefits for the largest Australian oil company SANTOS. The outcomes will find their application in a number of developing environmental and chemical engineering technologies, which fall into Australian Research Priorities such as clean water production, emission reduction and storage of green house gas, and industrial waste management. The new theory and models to be developed in this project will provide quantitative tools for comprehensive assessment of large-scale geological and industrial projects. The project will also train a high quality research and engineering personnel.Read moreRead less
Robust streamflow predictions by improving the identification of hydrological model structure. This project aims to provide Australian environmental agencies, design engineers and policy-makers with robust methods that better utilise observed environmental data and process understanding to produce hydrological models with stronger scientific basis and improved operational predictive ability in gauged and ungauged catchments.