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
Delivering robust hydrological predictions for Australia’s water challenges. This project aims to build a virtual hydrological laboratory to identify the best hydrological models that maximise predictive performance in a range of catchments, accounting for their dominant hydrological processes and data availability. New process-informed hydrological model structures will be developed using this virtual laboratory to embody our best understanding of hydrological processes and data from real catch ....Delivering robust hydrological predictions for Australia’s water challenges. This project aims to build a virtual hydrological laboratory to identify the best hydrological models that maximise predictive performance in a range of catchments, accounting for their dominant hydrological processes and data availability. New process-informed hydrological model structures will be developed using this virtual laboratory to embody our best understanding of hydrological processes and data from real catchments. The expected outcomes include major improvements in hydrological predictions for Australian catchments. This project will provide major benefits to irrigators, water authorities and engineers, who rely on hydrological predictions for sustainable water management in the highly-variable, semi-arid Australian climate.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100047
Funder
Australian Research Council
Funding Amount
$540,000.00
Summary
A multi-frequency microwave radiometer system for environmental research. A multi-frequency microwave radiometer system for environmental research: A new capability for airborne remote sensing of key environmental variables will be established. The unique P-, Ku- and Ka-band passive microwave radiometer system will provide information on soil moisture, surface temperature and vegetation, and allow for a new satellite concept to be demonstrated. By combining with an existing L-band radiometer, da ....A multi-frequency microwave radiometer system for environmental research. A multi-frequency microwave radiometer system for environmental research: A new capability for airborne remote sensing of key environmental variables will be established. The unique P-, Ku- and Ka-band passive microwave radiometer system will provide information on soil moisture, surface temperature and vegetation, and allow for a new satellite concept to be demonstrated. By combining with an existing L-band radiometer, data can be collected simultaneously at P-, L-, Ku- and Ka-bands, with increased spatial resolutions accordingly. The shorter wavelength, but higher spatial resolution data can be used to enhance the spatial resolution of the longer wavelength data, resulting in a capability to derive long wavelength observations from space at unprecedented spatial resolution.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.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100162
Funder
Australian Research Council
Funding Amount
$150,000.00
Summary
Integrated 2MHz Nuclear Magnetic Resonance high temperature tri-axial flow cell apparatus. The development of an integrated facility for petrophysical measurements allows the efficient use of expensive rock cores from gas or liquid reservoirs to develop reliable cross-correlations at conditions encountered in real reservoirs. The equipment is optimised for applications to unconventional reservoirs like Australia’s gas resources, in particular coal-bed methane reservoirs and gas reservoirs where ....Integrated 2MHz Nuclear Magnetic Resonance high temperature tri-axial flow cell apparatus. The development of an integrated facility for petrophysical measurements allows the efficient use of expensive rock cores from gas or liquid reservoirs to develop reliable cross-correlations at conditions encountered in real reservoirs. The equipment is optimised for applications to unconventional reservoirs like Australia’s gas resources, in particular coal-bed methane reservoirs and gas reservoirs where gas is difficult to extract.Read moreRead less
Combining transient micro-reflections and multi-sensor arrays for condition assessment of buried pipes. This project will develop an accurate and reliable approach for assessing the condition of pipelines. This new approach will reduce costs and save considerable amounts of water each year, as it will assist utilities in preventing major failures such as pipe bursts, and performing strategically targeted maintenance, replacement and rehabilitation.
Detecting developing cracks before pipe bursts using smart sensor systems. This project aims to significantly reduce the number of pipe bursts in cities by detecting the leaks from developing cracks on water supply pipes just in time. New techniques will be developed for reliable and timely detection using the existing sensor network in the Adelaide CBD. Specialised monitoring stations will be developed with adaptive noise-cancellation algorithms to detect small leak signals in noisy city enviro ....Detecting developing cracks before pipe bursts using smart sensor systems. This project aims to significantly reduce the number of pipe bursts in cities by detecting the leaks from developing cracks on water supply pipes just in time. New techniques will be developed for reliable and timely detection using the existing sensor network in the Adelaide CBD. Specialised monitoring stations will be developed with adaptive noise-cancellation algorithms to detect small leak signals in noisy city environments. Expected outcomes include an effective pipe burst early warning system and the implementation of an active burst prevention and targeted pipe replacement strategy. This should significantly reduce the burst rates and associated interruptions in Adelaide and save millions of dollars every year in pipe relay programs.Read moreRead less
Cost Effective Pipeline Condition Assessment Using Paired Pressure Sensor Arrays. Water distribution networks represent society's most important infrastructure asset. They are buried pipes and are often old and deteriorating. Cost-effective methods to assess their physical condition are urgently needed. This research will develop a novel and advanced approach to determine the interior condition of pipes quickly and effectively using small water hammer pulses or waves. Paired pressure sensor arra ....Cost Effective Pipeline Condition Assessment Using Paired Pressure Sensor Arrays. Water distribution networks represent society's most important infrastructure asset. They are buried pipes and are often old and deteriorating. Cost-effective methods to assess their physical condition are urgently needed. This research will develop a novel and advanced approach to determine the interior condition of pipes quickly and effectively using small water hammer pulses or waves. Paired pressure sensor arrays will be used to measure reflections of the waves in pipes and these methods will enable finer resolution and identification of pipeline faults, such as wall thickness loss and leakage while at the same time allowing operational continuity. The outcome will be powerful tools to more cost effectively manage these crucial assets.Read moreRead less
High-resolution pipeline condition assessment using hydraulic transients. This project aims to develop urgently needed non-invasive methods to assess fine detail of a pipe’s condition and allow ‘just in time’ predictive repair. Water distribution networks are society's most important infrastructure asset. They consist of buried pipes that are often old and deteriorating, and annual maintenance overhead exceeds $1 billion per year in Australia alone. The project will develop cost-effective powerf ....High-resolution pipeline condition assessment using hydraulic transients. This project aims to develop urgently needed non-invasive methods to assess fine detail of a pipe’s condition and allow ‘just in time’ predictive repair. Water distribution networks are society's most important infrastructure asset. They consist of buried pipes that are often old and deteriorating, and annual maintenance overhead exceeds $1 billion per year in Australia alone. The project will develop cost-effective powerful tools to identify faults, such as pipe wall corrosion and blockages, while allowing operational continuity. The expected outcome is high-resolution images of wall condition of pipes using high-frequency pressure transients and sophisticated fibre optic sensor arrays.Read moreRead less