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Field of Research : Water Resources Engineering
Field of Research : Environmental Management
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  • Funded Activity

    Linkage Projects - Grant ID: LP100200033

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Smart metering founding a holistic evidence-based performance evaluation framework and demand forecasting model for diversified water supply schemes. The Australian water industry faces the challenge of catering for the potable water demand of a rapidly expanding population with reduced reliability on supply imposed by an increasingly variable climate. Diversified water supply schemes (DWSS) incorporating decentralised systems or reuse sources are touted as a means to handle the inherent weaknes .... Smart metering founding a holistic evidence-based performance evaluation framework and demand forecasting model for diversified water supply schemes. The Australian water industry faces the challenge of catering for the potable water demand of a rapidly expanding population with reduced reliability on supply imposed by an increasingly variable climate. Diversified water supply schemes (DWSS) incorporating decentralised systems or reuse sources are touted as a means to handle the inherent weaknesses of centralised urban water supply schemes by potentially drawing 30-50 per cent less demand on their reserves. This research study will provide evidence to support the implementation of best practice DWSS based on an evidence based holistic assessment of their performance considering potable water savings, capital and operation costs, energy demand, as well as environmental and community impacts.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP190100755

    Funder
    Australian Research Council
    Funding Amount
    $870,987.00
    Summary
    Untangling the mechanisms of nutrient export from agricultural catchments. This projects aims to better understand the factors controlling nutrient retention and removal within agricultural catchments and how climate and land use change will affect this. This project will combine novel approaches to investigate nutrient sources, removal and bioavailability with geochemical tracers to better understand nutrient flow and removal pathways. This new knowledge will be captured in state of the art m .... Untangling the mechanisms of nutrient export from agricultural catchments. This projects aims to better understand the factors controlling nutrient retention and removal within agricultural catchments and how climate and land use change will affect this. This project will combine novel approaches to investigate nutrient sources, removal and bioavailability with geochemical tracers to better understand nutrient flow and removal pathways. This new knowledge will be captured in state of the art modelling approaches that will help improve land management practices, leading to reduced nutrient loads and improved water quality in receiving waters such as the Gippsland Lakes.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190100113

    Funder
    Australian Research Council
    Funding Amount
    $505,000.00
    Summary
    Optimal trade-offs for managing environmental water in inland wetlands. This project aims to optimise long-term water trade-offs in inland wetlands on managed catchments, without compromising their environmental value. These managed wetlands compete for water allocations with irrigation and other uses. Realistic predictions of wetland status will be achieved through the development and integration of an ecohydrological model and a water management decisions model. Application of the tools will i .... Optimal trade-offs for managing environmental water in inland wetlands. This project aims to optimise long-term water trade-offs in inland wetlands on managed catchments, without compromising their environmental value. These managed wetlands compete for water allocations with irrigation and other uses. Realistic predictions of wetland status will be achieved through the development and integration of an ecohydrological model and a water management decisions model. Application of the tools will improve existing decision support models to help analyse the effects of individual local management decisions on the long-term evolution of the system and the effects of changes in operation policies and climate over the long term. The project will provide critical new information for the improved prediction of wetlands evolution and as a consequence better management.
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