Dynamics of Suppressed Mixing Regimes in Australian Rivers. This study aims to further the fundamental science of turbulent mixing in the context of flow in Australian rivers. The focus is on prolonged low flow conditions which when coupled with warm surface temperatures cause the water column to become thermally stratified which then suppresses turbulent mixing. The extreme scale of the river systems has made investigating the true dynamics of the strongly stratified mixing regimes particularly ....Dynamics of Suppressed Mixing Regimes in Australian Rivers. This study aims to further the fundamental science of turbulent mixing in the context of flow in Australian rivers. The focus is on prolonged low flow conditions which when coupled with warm surface temperatures cause the water column to become thermally stratified which then suppresses turbulent mixing. The extreme scale of the river systems has made investigating the true dynamics of the strongly stratified mixing regimes particularly challenging. By taking world first in-situ measurements of turbulent mixing and undertaking high resolution numerical simulations this study will provide definitive data which will allow correct characterization of the mixing regimes and how they are associated with river flow conditions.Read moreRead less
A Fourier approach to address low-frequency variability bias in hydrology. This project aims to develop a mathematical framework to better simulate the occurrence of sustained anomalies, such as droughts and long periods of flooding, into the future. These events increase water insecurity and result in loss of revenue, livelihoods and lives. Hydrological planning requires knowledge of how such sustained extremes will change in the future. Current alternatives for simulating such changes for futu ....A Fourier approach to address low-frequency variability bias in hydrology. This project aims to develop a mathematical framework to better simulate the occurrence of sustained anomalies, such as droughts and long periods of flooding, into the future. These events increase water insecurity and result in loss of revenue, livelihoods and lives. Hydrological planning requires knowledge of how such sustained extremes will change in the future. Current alternatives for simulating such changes for future climates are inadequate for catchment-scale planning to proceed. The project proposes a strategy for post-processing hydrological simulations of the future using an elegant frequency-domain approach. It expects to provide the tools needed to develop hydrologic infrastructure, such as water supply reservoirs, that secure our water resources for the generations to come.Read moreRead less
Tracking flood waters over Australia using space gravity data. This project aims to assess the utility of near-real-time data from the currently operating space gravity satellite mission to quantify and track flood waters in Australia. Through analysis of the satellite data and fusion of observed signals with rainfall, river flows and conventional hydrological modelling, it expects to create new knowledge of soil moisture and movement of flood waters. Expected outcomes include a capability to im ....Tracking flood waters over Australia using space gravity data. This project aims to assess the utility of near-real-time data from the currently operating space gravity satellite mission to quantify and track flood waters in Australia. Through analysis of the satellite data and fusion of observed signals with rainfall, river flows and conventional hydrological modelling, it expects to create new knowledge of soil moisture and movement of flood waters. Expected outcomes include a capability to improve hydrological models by including the information of water signals obtained from the near-real-time observations. This should provide significant benefits such as more accurate land saturation maps and better predictions of runoff and flood risk.Read moreRead less
Uncertainty quantification in terrestrial hydrologic systems. This project aims to develop a framework to simulate, quantify and analyse the uncertainty in streamflow and vegetation dynamics via approximate Bayesian computation. Water is a fundamental resource, and a difficulty in water resource management is to make predictions in a changing environment. Uncertainties in predictions of natural systems due to observational and model error make this more difficult. It is anticipated that the resu ....Uncertainty quantification in terrestrial hydrologic systems. This project aims to develop a framework to simulate, quantify and analyse the uncertainty in streamflow and vegetation dynamics via approximate Bayesian computation. Water is a fundamental resource, and a difficulty in water resource management is to make predictions in a changing environment. Uncertainties in predictions of natural systems due to observational and model error make this more difficult. It is anticipated that the results from this project will advance uncertainty analysis in hydrology and help understand how different types of data and information can inform model characterisation. This will be useful in providing vital information on the attributes and extent of uncertainty to inform water resources analysis, management and decision making.Read moreRead less
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.Read moreRead less
Closing the water cycle using land surface modelling, remote sensing and an Australian hydrological observatory. Australians live in the driest inhabited continent on Earth. Water supply and its variability have been constant problems throughout our history. This project will use space based satellites, sophisticated ground based instruments and advanced modelling tools to provide a 21st century characterisation of our nation's water resources.
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.Read moreRead less
Robust streamflow predictions by improving the identification of hydrological model structure. This project aims to provide Australian environmental agencies, design engineers and policy-makers with robust methods that better utilise observed environmental data and process understanding to produce hydrological models with stronger scientific basis and improved operational predictive ability in gauged and ungauged catchments.
Improving Resilience of MCDI for Water Supply in Remote Communities . The AIM of this project is the development of robust, PV-powered water treatment units based on the emerging technology of Membrane Capacitive Deionisation (MCDI). The development of a more resilient approach to provision of potable water is particularly SIGNIFICANT to remote indigenous communities in central Australia where brackish groundwaters are unsuitable for use without prior treatment. EXPECTED OUTCOMES include develop ....Improving Resilience of MCDI for Water Supply in Remote Communities . The AIM of this project is the development of robust, PV-powered water treatment units based on the emerging technology of Membrane Capacitive Deionisation (MCDI). The development of a more resilient approach to provision of potable water is particularly SIGNIFICANT to remote indigenous communities in central Australia where brackish groundwaters are unsuitable for use without prior treatment. EXPECTED OUTCOMES include development of resilient MCDI units incorporating innovative control of the charging and discharging cycles using "smart” (machine learning enabled) Digital Twins of these units. These MCDI units will BENEFIT any community requiring removal of contaminants from brackish waters without the need for external mains power supply.Read moreRead less