Gaining insights into mine waste dumps to avoid environmental legacies. The project aims to develop new methods for identifying pollution source hotspots and pathways inside mine waste rock dumps. This addresses the national need for effective management of Acid and Metalliferous Drainage (AMD), which is now a critical consideration in the viability of new mines and in confronting pollution legacies of old mines. The research will develop and test innovative methods of geophysical and geochemica ....Gaining insights into mine waste dumps to avoid environmental legacies. The project aims to develop new methods for identifying pollution source hotspots and pathways inside mine waste rock dumps. This addresses the national need for effective management of Acid and Metalliferous Drainage (AMD), which is now a critical consideration in the viability of new mines and in confronting pollution legacies of old mines. The research will develop and test innovative methods of geophysical and geochemical analysis and their integration that provide 3-dimensional mapping of key physical and chemical features of the dump. Expected outcomes include greater confidence in the ability of the mining industry to manage its AMD liability. Read moreRead less
Nitrous oxide and methane emissions from South East Queensland waterways and influence of wastewater discharges. Climate change caused by greenhouse gas emissions is one of the most serious challenges facing mankind. Substantial emission reduction must be achieved, with responsibilities to be shared by all sectors. Rivers, estuaries and water storages contribute considerably to global nitrous oxide and methane emissions, much of which is anthropogenic contributed by urban and agricultural run-of ....Nitrous oxide and methane emissions from South East Queensland waterways and influence of wastewater discharges. Climate change caused by greenhouse gas emissions is one of the most serious challenges facing mankind. Substantial emission reduction must be achieved, with responsibilities to be shared by all sectors. Rivers, estuaries and water storages contribute considerably to global nitrous oxide and methane emissions, much of which is anthropogenic contributed by urban and agricultural run-off and wastewater discharges. Through an in-depth study on several rivers, estuaries and reservoirs in South East Queensland, this project will provide data to enable reliable estimation of such emissions in Australia, and deliver knowledge and tool support for the development of strategic catchment management strategies.Read moreRead less
Integrating satellite observations into environmental accounts. Accounting for biomass, water and ecosystem helps to manage and protect Australia's natural capital. Existing data provide only limited information, but this project will build on recent advances in satellite observation and model-data fusion technology to produce national accounts with unprecedented detail, for each year since 1990.
Improved monitoring of aquatic pollutants in national water resources. Clean water is predicted to become the world’s most valuable asset during this century, necessitating the improved monitoring of Australia’s limited water resources. Using a new and integrated monitoring approach, this project expects to develop and implement novel passive sampling technologies to monitor a range of water pollutants, specifically toxic ionised organic chemicals of emerging concern. The outcomes of this projec ....Improved monitoring of aquatic pollutants in national water resources. Clean water is predicted to become the world’s most valuable asset during this century, necessitating the improved monitoring of Australia’s limited water resources. Using a new and integrated monitoring approach, this project expects to develop and implement novel passive sampling technologies to monitor a range of water pollutants, specifically toxic ionised organic chemicals of emerging concern. The outcomes of this project will create cost-effective tools to advance the detection of emerging chemicals in drinking, ground, surface and waste waters. The technology will benefit millions of Australians by safeguarding essential water resources.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100040
Funder
Australian Research Council
Funding Amount
$450,000.00
Summary
Integrated Greenhouse Gas Measurement System (IGMS) for monitoring agricultural emissions at field to regional scales. Measurement of greenhouse gases is critical to Australia’s obligations to reduce carbon emissions. The measurement facility will provide urgently needed accurate emission data from Australian agriculture to establish emission baselines and develop methods to extend the point-scale measurements to whole farm, regional and national scales.
Saving Nemo: Reducing animal use in toxicity assessments of wastewater. Every day, Australians produce ~5 billion litres of wastewater, which contains a cocktail of chemicals. Industries that discharge wastewater are required to assess chemical risks to the receiving environments by conducting whole animal direct toxicity assessments (DTA), which are expensive and pose an ethical dilemma. Our preliminary research shows that new in vitro bioassays provide an ethical and cost effective alternative ....Saving Nemo: Reducing animal use in toxicity assessments of wastewater. Every day, Australians produce ~5 billion litres of wastewater, which contains a cocktail of chemicals. Industries that discharge wastewater are required to assess chemical risks to the receiving environments by conducting whole animal direct toxicity assessments (DTA), which are expensive and pose an ethical dilemma. Our preliminary research shows that new in vitro bioassays provide an ethical and cost effective alternative that could be incorporated into DTA programs if their ecological relevance can be demonstrated. This project will develop and validate a new and internationally significant suite of in vitro bioassays for incorporation into DTA programs, leading to more ethical, cost effective and improved environmental protection.Read moreRead less
Advancing vegetation classification and mapping to meet conservation needs. The project aims to develop advanced statistical and modelling techniques to classify and map vegetation over very large areas, using the most extensive and detailed vegetation data set in Australia and new methods to evaluate these classifications. Such classifications and maps provide the data needed to make biodiversity conservation decisions, yet current operational methods are limited over very large areas, and cann ....Advancing vegetation classification and mapping to meet conservation needs. The project aims to develop advanced statistical and modelling techniques to classify and map vegetation over very large areas, using the most extensive and detailed vegetation data set in Australia and new methods to evaluate these classifications. Such classifications and maps provide the data needed to make biodiversity conservation decisions, yet current operational methods are limited over very large areas, and cannot deal with varied sources of uncertainty. Expected outcomes and benefits include a fine-scale vegetation classification and map for almost a million square kilometres, and associated analytical tools and guidelines for large-scale vegetation classification and global mapping.Read moreRead less
A novel and theoretically consistent method for correcting systematic errors in earth observation data and earth system model results. For a correct interpretation of satellite-based earth observation data and/or Earth system model results, it is very important that these data are free of systematic errors, commonly referred to as bias. It is well known that both these data sources are prone to a significant bias, which is currently neglected in many environmental impact and prediction studies. ....A novel and theoretically consistent method for correcting systematic errors in earth observation data and earth system model results. For a correct interpretation of satellite-based earth observation data and/or Earth system model results, it is very important that these data are free of systematic errors, commonly referred to as bias. It is well known that both these data sources are prone to a significant bias, which is currently neglected in many environmental impact and prediction studies. This project will present a method to develop models for these biases. A state update technique, the Ensemble Kalman Filter, will be adapted to correctly take into account bias in the merging of the two data sources. The project outcomes will be of high importance for long-term environmental studies, since these strongly rely on physically-based models and remote sensing data.Read moreRead less
Adaptive management of native vegetation condition. Environmental managers face severe uncertainty about how to best restore native habitats. This project will develop an adaptive strategy to improve vegetation management decisions by integrating expert knowledge with monitoring. This will improve the efficiency of management and provide an example of 'learning by doing' in two case study regions.
Miniaturised electrophoretic systems for distributed environmental sensing. This project aims to develop new low-cost sensors to quantify a range of water nutrients for continuous automated water monitoring. The project aims to design a microfluidic cartridge to obtain a particulate-free sample for analysis by the rapid separation of inorganic anions and cations. The cartridge is intended to be operated in a portable low cost, low weight, low power instrument. The deployment of multiple units ai ....Miniaturised electrophoretic systems for distributed environmental sensing. This project aims to develop new low-cost sensors to quantify a range of water nutrients for continuous automated water monitoring. The project aims to design a microfluidic cartridge to obtain a particulate-free sample for analysis by the rapid separation of inorganic anions and cations. The cartridge is intended to be operated in a portable low cost, low weight, low power instrument. The deployment of multiple units aims to provide a continuous data stream describing the changes in nutrient profiles within various waters, to feed into environmental models and inform best practice for agriculture and aquaculture industries.Read moreRead less