Water availability and demand: better forecasts, better management. This project aims to improve Australia’s capability in the provision and use of water forecasts for managing water resources. The current water forecasts are not fully utilised by water agencies as they are not sufficiently comprehensive and advanced. This project expects to achieve a step change in the uptake and utility of hydro-climate forecasts through an extensive partnership of leading researchers and operational agencies ....Water availability and demand: better forecasts, better management. This project aims to improve Australia’s capability in the provision and use of water forecasts for managing water resources. The current water forecasts are not fully utilised by water agencies as they are not sufficiently comprehensive and advanced. This project expects to achieve a step change in the uptake and utility of hydro-climate forecasts through an extensive partnership of leading researchers and operational agencies of hydro-climate forecasting, with federal, state and regional water agencies.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.
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
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.
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
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
Development of a generic catchment classification framework in hydrology. Hydrologic models play a vital role in water resource planning and management, but identification of a suitable model for a given catchment remains a basic problem. This research develops a generic framework to classify catchments into groups and sub-groups, and will offer a significantly better way for hydrologic model development and application.
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
Unlocking the secrets of the groundwater cycle using Si and Li isotopes. This project aims to determine how non-conventional lithium and silicon isotopes can be used to understand groundwater processes using an innovative source-to-target approach. The project aims to apply these isotope tracers to trace the water cycle within a well constrained system: an island aquifer with a dense borefield which has been analysed using traditional isotopic techniques. Supporting hydrochemical data will be us ....Unlocking the secrets of the groundwater cycle using Si and Li isotopes. This project aims to determine how non-conventional lithium and silicon isotopes can be used to understand groundwater processes using an innovative source-to-target approach. The project aims to apply these isotope tracers to trace the water cycle within a well constrained system: an island aquifer with a dense borefield which has been analysed using traditional isotopic techniques. Supporting hydrochemical data will be used to determine the relationship of the isotopes with environmental processes. The project impact will be the development of new methods to help understand our groundwater resource. The improved process understanding will be translated to groundwater management in general. The projects' focus on carbonate aquifer systems typical of coastal regions of southern, eastern and western Australia will have relevance to groundwater management in urban areas such as Perth and in rural areas for tourism and viticulture, and for management of natural resources in National Parks.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