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Scheme : Linkage Projects
Australian State/Territory : NT
Australian State/Territory : ACT
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  • Active Funded Activity

    Linkage Projects - Grant ID: LP170100985

    Funder
    Australian Research Council
    Funding Amount
    $711,000.00
    Summary
    Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty a .... Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty and test multiple geological scenarios. This enhanced capability is important for the future of Australia's subsurface management, including urban geology and our continuously growing sustainable resources industry.
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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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    Funded Activity

    Linkage Projects - Grant ID: LP140100222

    Funder
    Australian Research Council
    Funding Amount
    $363,000.00
    Summary
    Investigating movement, distribution, abundance and diet to support management objectives for threatened riverine predators in Northern Australia. The rivers and estuaries of northern Australia are highly productive environments, containing an exceptional diversity and abundance of large predatory aquatic species. This project aims to monitor the movements, habitat preferences and diet in eight large predatory species in a northern Queensland river over the next three years. Movement data will b .... Investigating movement, distribution, abundance and diet to support management objectives for threatened riverine predators in Northern Australia. The rivers and estuaries of northern Australia are highly productive environments, containing an exceptional diversity and abundance of large predatory aquatic species. This project aims to monitor the movements, habitat preferences and diet in eight large predatory species in a northern Queensland river over the next three years. Movement data will be combined with isotopic analysis to reveal how environmental and biological factors drive animal movements and impact habitat connectivity. In a world of vanishing top predators, it is imperative to understand system dynamics before we can evaluate the impact of species removal on ecosystem function.
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