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Australian State/Territory : QLD
Research Topic : Quantification
Status : Closed
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  • Funded Activity

    ARC Future Fellowships - Grant ID: FT130100274

    Funder
    Australian Research Council
    Funding Amount
    $609,360.00
    Summary
    Better water management through more focus on ecological and social sciences. Current water resources management, focusing on gains of economic efficiency in the short term under the assumption of steady-state conditions, has generally failed to respond to both catchment environmental degradation and to the increasing complexity of human–environment interactions. This project will develop a new approach to water resources management by relating management practices based on ecological understand .... Better water management through more focus on ecological and social sciences. Current water resources management, focusing on gains of economic efficiency in the short term under the assumption of steady-state conditions, has generally failed to respond to both catchment environmental degradation and to the increasing complexity of human–environment interactions. This project will develop a new approach to water resources management by relating management practices based on ecological understanding to the social mechanisms behind these practices at water catchments. It will improve the predictability and precision of water resources management and increase our ability to maintain our options for a sustainable future. This will have a profound effect on catchment sustainability, a globally significant problem.
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    Funded Activity

    Linkage Projects - Grant ID: LP140100978

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    A robust integrated streamflow forecasting framework for Australian water information and management agencies. This project aims to deliver an accurate and reliable seasonal streamflow forecasting system for Australian water users by developing a flexible rainfall-runoff modelling approach integrated into a Bayesian inference and prediction framework. These scientific developments aim to significantly advance the operational capabilities of the Australian Bureau of Meteorology to deliver robust .... A robust integrated streamflow forecasting framework for Australian water information and management agencies. This project aims to deliver an accurate and reliable seasonal streamflow forecasting system for Australian water users by developing a flexible rainfall-runoff modelling approach integrated into a Bayesian inference and prediction framework. These scientific developments aim to significantly advance the operational capabilities of the Australian Bureau of Meteorology to deliver robust streamflow forecasts to water agencies such as South East Queensland Water and others across Australia. Accurate predictions of future water flows are of tremendous value to urban and rural Australian communities whose economic prosperity, water security and social well-being depend on reliable estimates of water availability.
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    Funded Activity

    Discovery Projects - Grant ID: DP150100912

    Funder
    Australian Research Council
    Funding Amount
    $335,100.00
    Summary
    Thermal stratification, overturning and mixing in riverine environments. Thermal stratification is common in Australia's rivers due to our hot, drought-prone climate and high human demands relative to available supply, which has led to a significant reduction in flows relative to natural levels. Thermal stratification inhibits mixing, creating stagnant conditions characterised by low oxygen levels and increased concentrations of contaminants, leading to algal blooms, fish kills and systemic dama .... Thermal stratification, overturning and mixing in riverine environments. Thermal stratification is common in Australia's rivers due to our hot, drought-prone climate and high human demands relative to available supply, which has led to a significant reduction in flows relative to natural levels. Thermal stratification inhibits mixing, creating stagnant conditions characterised by low oxygen levels and increased concentrations of contaminants, leading to algal blooms, fish kills and systemic damage to ecosystems. The aim of this project is to develop predictive models for the effects of physical processes such as night-time cooling, wind, turbulence and currents on riverine thermal stratification. This is expected to enable a more accurate determination of the flow rates required to maintain the health of our river systems.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT140100977

    Funder
    Australian Research Council
    Funding Amount
    $897,612.00
    Summary
    Water sensitive mining. The project aims to provide tools that can identify how mining projects, including associated land use and infrastructure, can play a positive role in sustainable water management. This will be based on new knowledge about mine-land-water relationships, novel approaches to modelling mine site hydrology within regional models and greater emphasis on risk evaluation. This work is essential if resource-rich regions in Australia and beyond are to be developed with sustainabil .... Water sensitive mining. The project aims to provide tools that can identify how mining projects, including associated land use and infrastructure, can play a positive role in sustainable water management. This will be based on new knowledge about mine-land-water relationships, novel approaches to modelling mine site hydrology within regional models and greater emphasis on risk evaluation. This work is essential if resource-rich regions in Australia and beyond are to be developed with sustainability as a goal, and for mining to live comfortably alongside other strategically important water and land users. The main outcome aims to be the development of new tools for predicting and optimising the regional water management opportunities provided by mining.
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    Funded Activity

    Linkage Projects - Grant ID: LP150100388

    Funder
    Australian Research Council
    Funding Amount
    $353,806.00
    Summary
    Forecasting fish resilience to environmental change in northern Australia. This project aims to use a traits-based modelling framework, incorporating variability both within and between species, to forecast the resilience of freshwater fishes in northern Australia to impending environmental change. While northern Australian rivers are among the most pristine and productive on earth, they face profound change due to human activity. Emerging evidence suggests that flexibility in functional traits .... Forecasting fish resilience to environmental change in northern Australia. This project aims to use a traits-based modelling framework, incorporating variability both within and between species, to forecast the resilience of freshwater fishes in northern Australia to impending environmental change. While northern Australian rivers are among the most pristine and productive on earth, they face profound change due to human activity. Emerging evidence suggests that flexibility in functional traits (e.g. life history, physiology, behaviour, diet) may result in resilience to environmental change. This project aims to provide decision-makers with essential information and new tools to underpin future planning and resource management.
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