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.
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
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
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.
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.