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.
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
Representing low-frequency variability in hydro-climatic simulations for water resources planning and management in a changing climate. Simulating local hydro-climatology under likely climate change allows risk assessment of existing and future water infrastructure, along with the planning protocols needed to adapt to the changes ahead. This study aims to develop the tools needed to simulate local hydro-climatology, providing a basis for securing water for the generations to come.
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.
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.
A decadal to inter-decadal streamflow prediction system. This project will develop the first ever decadal streamflow prediction system for Australia, leading to predictions of streamflow for the next 10 years and beyond that take into account both natural climatic variability (driven by factors such as the El Nino Southern Oscillation) and changing greenhouse gas concentrations due to a warming planet.
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
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.
Water sensitive mining. The project aims to provide tools that can identify how mining projects, including associated land use and infrastructure, can play a positive role in sustainable water management. This will be based on new knowledge about mine-land-water relationships, novel approaches to modelling mine site hydrology within regional models and greater emphasis on risk evaluation. This work is essential if resource-rich regions in Australia and beyond are to be developed with sustainabil ....Water sensitive mining. The project aims to provide tools that can identify how mining projects, including associated land use and infrastructure, can play a positive role in sustainable water management. This will be based on new knowledge about mine-land-water relationships, novel approaches to modelling mine site hydrology within regional models and greater emphasis on risk evaluation. This work is essential if resource-rich regions in Australia and beyond are to be developed with sustainability as a goal, and for mining to live comfortably alongside other strategically important water and land users. The main outcome aims to be the development of new tools for predicting and optimising the regional water management opportunities provided by mining.Read moreRead less