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.Read moreRead less
On-line monitoring of cyanobacteria to predict coagulant doses and powdered activated carbon application in water treatment. Cyanobacteria, more commonly known as blue-green algae, can impact water quality by releasing toxins that can be harmful to human health and imparting unpleasant taste and odours to the water. This project will support the water industry in managing these risks by providing a rapid, on-line tool to assist in their removal during water treatment.
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
Groundwater flow age distributions: Understanding open pit mine hydrology. This project aims to improve the estimation of the age of groundwater. Understanding groundwater age is critical for sustainable management and environmental tracers are increasingly used for this purpose. However, groundwater samples are inevitably mixtures of water of different ages. Since for most tracers the relationship between tracer concentration and age is not linear, different tracers can produce different mean a ....Groundwater flow age distributions: Understanding open pit mine hydrology. This project aims to improve the estimation of the age of groundwater. Understanding groundwater age is critical for sustainable management and environmental tracers are increasingly used for this purpose. However, groundwater samples are inevitably mixtures of water of different ages. Since for most tracers the relationship between tracer concentration and age is not linear, different tracers can produce different mean ages for the sample. This project aims to determine whether it is possible to determine moments of the groundwater age distributions from measurements made with different environmental tracers. The project also aims to examine whether the degree of heterogeneity within the aquifer can be determined from the disparity between ages obtained with different tracers. This project aims to tackle the largest problem with using groundwater chemistry to estimate water age – that mixing processes in the subsurface are never known. Solving this problem will allow much more accurate estimates of groundwater velocity and aquifer recharge rates. The groundwater industry contributes an estimated $6.8 billion per annum to the Australian economy, and this project will contribute to the sustainable management of the groundwater resource.Read moreRead less
Ecohydrologic functioning of ephemeral streams. This project aims to increase understanding of how surface-groundwater interactions sustain vegetation associated with ephemeral streams. One of the biggest problems faced by mining and regional development in arid regions is how to protect ecological and heritage values of ephemeral streams by minimising impacts of water abstraction and surplus discharge. The project will use environmental tracers, coupled with assessment of vegetation water use a ....Ecohydrologic functioning of ephemeral streams. This project aims to increase understanding of how surface-groundwater interactions sustain vegetation associated with ephemeral streams. One of the biggest problems faced by mining and regional development in arid regions is how to protect ecological and heritage values of ephemeral streams by minimising impacts of water abstraction and surplus discharge. The project will use environmental tracers, coupled with assessment of vegetation water use and numerical modelling, to assess resilience of ephemeral streams to changes in flows resulting from mining activities and climate-related shifts in recharge. Expected outcomes of the project include providing appropriate context for evaluating and adapting management to conserve scarce water resources. This project should significantly contribute to the sustainable management of both mineral and groundwater resources.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100136
Funder
Australian Research Council
Funding Amount
$340,000.00
Summary
Mobile weather radar system for advanced environmental monitoring and modelling. High spatial and temporal resolution weather radar data on wind and precipitation will translate to significant environmental model advances. Australian researchers will undertake model validation studies on precipitation, dust storm, and flood prediction under a wider range of environmental conditions and in greater detail than currently possible.
High performance conductive mesoporous carbon electrodes: a low energy desalination alternative. The high cost of existing desalination technology has limited its wider application. There is an urgent need for alternatives which require less energy than current methods. The proposed electrosorption process utilising porous carbon electrodes has the advantage of very low energy demand. Electrosorption therefore has the opportunity to become an alternative desalination option for application in a ....High performance conductive mesoporous carbon electrodes: a low energy desalination alternative. The high cost of existing desalination technology has limited its wider application. There is an urgent need for alternatives which require less energy than current methods. The proposed electrosorption process utilising porous carbon electrodes has the advantage of very low energy demand. Electrosorption therefore has the opportunity to become an alternative desalination option for application in a national and global water desalination market. Advancement in water desalination technology has the potential for a profound social, economical and environmental impact. This vital research is aligned with the National Research Priority 1, An Environmentally Sustainable Australia; Priority Goal: Water, A critical resource.Read moreRead less
Dynamics and management of riverine freshwater lenses. Rivers are the main source of freshwater for many ecosystems in semi-arid zones. River water may seep into the floodplain aquifer, providing an accessible store of low-salinity water within freshwater lenses. The project aims to investigate lens dynamics using numerical groundwater models supported by extensive field data from the lower River Murray, where freshwater lenses are declining. The project aims to model lens extent, growth and dec ....Dynamics and management of riverine freshwater lenses. Rivers are the main source of freshwater for many ecosystems in semi-arid zones. River water may seep into the floodplain aquifer, providing an accessible store of low-salinity water within freshwater lenses. The project aims to investigate lens dynamics using numerical groundwater models supported by extensive field data from the lower River Murray, where freshwater lenses are declining. The project aims to model lens extent, growth and decline in response to natural variations in climate and to changes in land use, river regulation and groundwater pumping. Project results intend to evaluate management options to promote freshwater lenses, with the aim of improving river salinity and floodplain vegetation health.Read moreRead less
Novel nanosensors for monitoring of water filtration membrane integrity. Novel nanosensors for monitoring of water filtration membrane integrity. This project aims to develop arrays of electrochemical biosensors based on nanostructured silicon for real-time monitoring of water filtration membrane integrity. Real-time monitoring of membrane performance, based on removing virus-sized particles, is a priority for the water industry to maximise asset life and meet increased demand for safe and high- ....Novel nanosensors for monitoring of water filtration membrane integrity. Novel nanosensors for monitoring of water filtration membrane integrity. This project aims to develop arrays of electrochemical biosensors based on nanostructured silicon for real-time monitoring of water filtration membrane integrity. Real-time monitoring of membrane performance, based on removing virus-sized particles, is a priority for the water industry to maximise asset life and meet increased demand for safe and high-quality water. Materials scientists, electrochemists, and specialists in water management and reuse aim to harness advances in nanostructured transducers and electrochemical protocols to develop online performance-monitoring technology. This project is expected to improve water treatment processes, removing viruses and reducing the risks and uncertainties of water recycling.Read moreRead less
Electrochemical sensors as early alert screening tools for water quality assessment. This project will impact on water safety assessment and provide better management tools for water pollutant control. It will address a real need to develop on-line detection technologies for application in the water industry and will demonstrate the potential broad applicability of this technology to a wide range of analytes of concern.