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.
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
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
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
Closing the Gap in Pipe Condition Assessment using Hydro-Acoustic Waves. Worldwide, the deterioration of water distribution pipeline infrastructure is driving an unsustainable explosion in maintenance and repair costs. In collaboration with industry leader Detection Services, this project will develop new methods to detect pipe condition faults at a scale and precision not currently possible. The outcome will be an advanced, yet practical, technology that provides critical information on pipe co ....Closing the Gap in Pipe Condition Assessment using Hydro-Acoustic Waves. Worldwide, the deterioration of water distribution pipeline infrastructure is driving an unsustainable explosion in maintenance and repair costs. In collaboration with industry leader Detection Services, this project will develop new methods to detect pipe condition faults at a scale and precision not currently possible. The outcome will be an advanced, yet practical, technology that provides critical information on pipe condition using new innovative active hydro-acoustic signal generators and sensors, combined with state-of-the-art signal analysis methods. The unprecedented cost-effectiveness of the technology will ensure a broad use in the water industry for targeted and efficient action, creating jobs and saving costs.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
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
A unified approach for estimating coastal flood risk. The project aims to develop a unified approach to quantifying flood risk. Because flooding is caused by multiple mechanisms such as extreme rainfall, storm surge and astronomical tide, accurately estimating flood levels in the Australian coastal zone is challenging. By quantifying flood risk in terms of these mechanisms, the project is expected to provide reliable flood risk estimates for both historical settings and future climate scenarios. ....A unified approach for estimating coastal flood risk. The project aims to develop a unified approach to quantifying flood risk. Because flooding is caused by multiple mechanisms such as extreme rainfall, storm surge and astronomical tide, accurately estimating flood levels in the Australian coastal zone is challenging. By quantifying flood risk in terms of these mechanisms, the project is expected to provide reliable flood risk estimates for both historical settings and future climate scenarios. The improved estimation should enable Australian water agencies and policy-makers to effectively design defence infrastructure (e.g. drainage systems) and urban planning policies to adapt to future flood risk.Read moreRead less