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Australian State/Territory : QLD
Scheme : Linkage Projects
Research Topic : Predictive Modelling
Australian State/Territory : TAS
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  • Funded Activity

    Linkage Projects - Grant ID: LP160100510

    Funder
    Australian Research Council
    Funding Amount
    $233,000.00
    Summary
    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.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP210301239

    Funder
    Australian Research Council
    Funding Amount
    $537,675.00
    Summary
    Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geop .... Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geophysical modelling in order to predictively characterise sub-surface geology. The outcome will be an open-source forecasting dashboard enabling decision making while considering underlying risk related to resource extractions and management with significant benefits to the Australian society (lower emissions, clean water).
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    Showing 1-2 of 2 Funded Activites

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