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Scheme : Discovery Indigenous
Research Topic : Mining Soils
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  • Funded Activity

    Discovery Indigenous - Grant ID: IN150100037

    Funder
    Australian Research Council
    Funding Amount
    $570,000.00
    Summary
    The effect of climate change on the biogeochemistry of estuarine soft soils. The Australian coastline is dotted with soft clays to a significant depth. These soft clay deposits display excessive settlement characteristics, affecting transport infrastructure. Understanding the couplings between the biogeochemical composition of the pore liquid and the mechanical behaviour of soft soils is essential, but current engineering practice is limited. Sea level rise in Australia will potentially place as .... The effect of climate change on the biogeochemistry of estuarine soft soils. The Australian coastline is dotted with soft clays to a significant depth. These soft clay deposits display excessive settlement characteristics, affecting transport infrastructure. Understanding the couplings between the biogeochemical composition of the pore liquid and the mechanical behaviour of soft soils is essential, but current engineering practice is limited. Sea level rise in Australia will potentially place as much as $67 billion in transport infrastructure at risk; consequently, this project aims to examine the impact of climate change on the biogeochemical processes of estuarine sediments in relation to: geotechnical properties; soft soil stability under sea level change; and soil carbon sequestration.
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    Active Funded Activity

    Discovery Indigenous - Grant ID: IN190100044

    Funder
    Australian Research Council
    Funding Amount
    $496,166.00
    Summary
    Developing a predictive toxicity model for metallic anions in plants. This project aims to develop competitive anionic toxicity models for antimony, arsenic, molybdenum and selenium supported by detailed speciation information. Available ecotoxicological models for inorganic toxicants have exclusively focused on cations such as zinc, and ignored anionic toxicants such as arsenic and antimony. For available models on cations to be applicable to contaminated environments, it is essential for equiv .... Developing a predictive toxicity model for metallic anions in plants. This project aims to develop competitive anionic toxicity models for antimony, arsenic, molybdenum and selenium supported by detailed speciation information. Available ecotoxicological models for inorganic toxicants have exclusively focused on cations such as zinc, and ignored anionic toxicants such as arsenic and antimony. For available models on cations to be applicable to contaminated environments, it is essential for equivalent anionic toxicity models be developed. This project will develop the first such model, which will provide new insights on ecotoxicological modelling for inorganic anionic toxicants. The project will transform ecotoxicological modelling approaches for metals and metalloids in terrestrial systems and directly improve our ability to assess risks associated with environmental contamination.
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