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

    Linkage Projects - Grant ID: LP150100567

    Funder
    Australian Research Council
    Funding Amount
    $318,470.00
    Summary
    Tailoring composite propellers for reduced sound radiation. This project aims to explore the generation of noise by composite propellers and to use this understanding to tailor the composite properties to reduce underwater noise. Propellers are a harmful source of noise in the marine environment, disturbing animal behaviour, revealing the location of naval vessels and interfering with sonar operation. Adaptive composite propellers are potentially quieter than metal propellers, as well as offerin .... Tailoring composite propellers for reduced sound radiation. This project aims to explore the generation of noise by composite propellers and to use this understanding to tailor the composite properties to reduce underwater noise. Propellers are a harmful source of noise in the marine environment, disturbing animal behaviour, revealing the location of naval vessels and interfering with sonar operation. Adaptive composite propellers are potentially quieter than metal propellers, as well as offering improvements in efficiency and fuel consumption. The aims of this project are to understand the physical mechanisms associated with composite propeller noise generation. The outcomes are intended to provide advanced numerical capabilities that will support the development of quieter marine propeller designs to improve defence capability and the acoustic environment for marine mammals.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP210301314

    Funder
    Australian Research Council
    Funding Amount
    $379,034.00
    Summary
    Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation wate .... Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation water delivery models to calibrate for spatial variation in soil properties and/or correct errors in spatial variation of rainfall and evapotranspiration inputs. Ultimately the water balance predictions will be used for implementation of variable rate irrigation control at scales hitherto unattainable.
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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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