Fluorinated surfactants and hydrocarbons at coastal airports. Fluorinated surfactants and hydrocarbons at coastal airports. This project aims to develop a model and parameters that describe transport and co-transport of fluoro-surfactants and hydrocarbons, priority pollutants with a wide range of physico-chemical properties, at coastal airports. Sixty percent of Australian airports are in the coastal plain, and all are affected by contamination from internationally banned fluoro-surfactants and ....Fluorinated surfactants and hydrocarbons at coastal airports. Fluorinated surfactants and hydrocarbons at coastal airports. This project aims to develop a model and parameters that describe transport and co-transport of fluoro-surfactants and hydrocarbons, priority pollutants with a wide range of physico-chemical properties, at coastal airports. Sixty percent of Australian airports are in the coastal plain, and all are affected by contamination from internationally banned fluoro-surfactants and hydrocarbons. Their extensive past use at firefighting training grounds resulted in costly remediation worldwide. Understanding the fate of persistent fluoro-surfactants from point sources, and their role in transporting non-polar chemicals such as hydrocarbons, will improve risk-based decision making. This research is expected to form the basis for effective risk management and intervention strategies.Read moreRead less
Deeper and broader life cycle risk assessment - extending the frontier for hybrid methodologies. This project is about combining detailed and global perspectives of environmental health risk from different fields of planning practice. It aims to improve the depth and breadth of the types of information used by government regulators and the community in decisions about the development of capital works.
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