Tree water use, bushfires, and the implications for urban and rural water supplies. After bushfires, regrowing trees in catchments may use water much faster than before the fire. This project will develop simple tests for whether this is the case for a particular area of forest, and why, and how such effects can be incorporated in planning for rural and urban water supplies.
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
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
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
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
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
Optimising seasonal decisions for environmental water use. This project will develop a tool to optimise the use of environmental water, drawing on seasonal forecasts of streamflow and water price, and predicted ecological responses to changing flows. This tool will strengthen the effectiveness of the government organisations responsible for managing Australia's environmental water reserves.
A framework for model emulation and ensemble modelling. For improved water resource management there is a need for further development of appropriate hydrologic models. This project will undertake a collection of hydrologic modelling activities performed at multiple catchments in Australia. A modeling framework that is flexible, extendible and accounts for potential forecast uncertainties will be developed.
Better water management through more focus on ecological and social sciences. Current water resources management, focusing on gains of economic efficiency in the short term under the assumption of steady-state conditions, has generally failed to respond to both catchment environmental degradation and to the increasing complexity of human–environment interactions. This project will develop a new approach to water resources management by relating management practices based on ecological understand ....Better water management through more focus on ecological and social sciences. Current water resources management, focusing on gains of economic efficiency in the short term under the assumption of steady-state conditions, has generally failed to respond to both catchment environmental degradation and to the increasing complexity of human–environment interactions. This project will develop a new approach to water resources management by relating management practices based on ecological understanding to the social mechanisms behind these practices at water catchments. It will improve the predictability and precision of water resources management and increase our ability to maintain our options for a sustainable future. This will have a profound effect on catchment sustainability, a globally significant problem.Read moreRead less