A new strategy for design flood estimation in a nonstationary climate. Evidence suggests that global warming will result in an increase in the frequency and/or magnitude of heavy rainfall, leading to flooding with potentially devastating consequences. This study provides a renewed focus on design flood estimation that takes into account a changing climate where assumptions of stationarity are no longer tenable.
Towards an Active and Passive L- and P-band soil moisture satellite mission. This project tests alternate configurations for remote sensing of soil moisture using a new state-of-the-art Active/Passive (ie radar/radiometer) P-/L-band (ie microwave) satellite concept through a series of airborne field experiments. Timely soil moisture information is critical to improved water management for food production in the face of climate variability. The challenge is to do this accurately over large areas ....Towards an Active and Passive L- and P-band soil moisture satellite mission. This project tests alternate configurations for remote sensing of soil moisture using a new state-of-the-art Active/Passive (ie radar/radiometer) P-/L-band (ie microwave) satellite concept through a series of airborne field experiments. Timely soil moisture information is critical to improved water management for food production in the face of climate variability. The challenge is to do this accurately over large areas with an appropriate spatio-temporal detail, and for a soil depth that closely approximates the layer which impacts crop/pasture growth and influences management decisions. The longer P-band allows deeper penetration into the soil while the active/passive combination uses the respective resolution and accuracy characteristics.Read moreRead less
A spatial extremes framework for predicting subdaily rainfall intensity. Climate change is causing extreme rainfall intensity to increase globally. The greatest increases occur for short-duration storms lasting up to several hours, bringing a heightened risk of flash-floods that are often extremely hazardous due to their rapid onset. The project aims to develop a new spatial extreme value framework to predict extreme rainfall patterns, using insights on future changes to rainfall triggering mech ....A spatial extremes framework for predicting subdaily rainfall intensity. Climate change is causing extreme rainfall intensity to increase globally. The greatest increases occur for short-duration storms lasting up to several hours, bringing a heightened risk of flash-floods that are often extremely hazardous due to their rapid onset. The project aims to develop a new spatial extreme value framework to predict extreme rainfall patterns, using insights on future changes to rainfall triggering mechanisms (e.g. convective, frontal or orographic). The research aims to provide projections in the form of intensity-frequency-duration curves, areal reduction factors and antecedent rainfall depths. Engineers are expected to use this information to design infrastructure and urban planning policies to adapt to future flood risk.Read moreRead less
P-band soil moisture sensing from space. This project aims to develop radiative transfer models to demonstrate that a P-band radiometer capability can remotely sense the top ~15cm layer of soil moisture, through a series of tower and airborne field experiments. Timely soil moisture information on this near-surface layer is critical to improved water management for food production in the face of extreme climate variability. Current satellite technologies are limited to the top ~5cm layer of soil ....P-band soil moisture sensing from space. This project aims to develop radiative transfer models to demonstrate that a P-band radiometer capability can remotely sense the top ~15cm layer of soil moisture, through a series of tower and airborne field experiments. Timely soil moisture information on this near-surface layer is critical to improved water management for food production in the face of extreme climate variability. Current satellite technologies are limited to the top ~5cm layer of soil using an L-band radiometer. This project is expected to give farmers the soil moisture data they need to optimise their available water resources to maximise food productionRead moreRead less
Next-generation smart water network for performance-driven asset management. This project aims to develop smart water network systems and techniques for continuous monitoring and early detection of structural failure in water distribution systems. Water assets are critical infrastructure, and they consist of a network of buried pipes that are old and deteriorating, with an annual maintenance overhead exceeding $1billion per year in Australia. This project is expected to deliver next-generation s ....Next-generation smart water network for performance-driven asset management. This project aims to develop smart water network systems and techniques for continuous monitoring and early detection of structural failure in water distribution systems. Water assets are critical infrastructure, and they consist of a network of buried pipes that are old and deteriorating, with an annual maintenance overhead exceeding $1billion per year in Australia. This project is expected to deliver next-generation smart water technology that enables continuous assessment of the actual performance of water pipe networks, guide “just in time” pipe replacement and optimise operations. This technology will assist asset managers to make informed decisions, strategically prioritise investment and extend asset life.Read moreRead less
Smart Pipe Condition Assessment in Water Distribution Systems. The project aims to develop an urgently needed smart pipe fault diagnosis, characterisation and prognosis system. Analysis techniques will be used for the detailed mapping of buried pipe condition between access points using micro-sized transient pressure waves. Water assets are critical infrastructure and they consist of a network of pipes that are often old and deteriorating. The annual maintenance cost exceeds $1b per year in Aus ....Smart Pipe Condition Assessment in Water Distribution Systems. The project aims to develop an urgently needed smart pipe fault diagnosis, characterisation and prognosis system. Analysis techniques will be used for the detailed mapping of buried pipe condition between access points using micro-sized transient pressure waves. Water assets are critical infrastructure and they consist of a network of pipes that are often old and deteriorating. The annual maintenance cost exceeds $1b per year in Australia. The outcome will be a next-generation tool that allows water utilities to move from reactive emergency repairs to proactive repair and predictive replacement. This will enable performance-driven asset management, extending asset life and replacing deteriorated high-risk pipe sections in a timely manner.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
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
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.