Large-scale geotechnical analysis of new and aged pipeline infrastructure. This project aims to develop novel computational methods for predicting failure rates in geographically distributed pipeline networks affected by ground movements, one of the main triggers of bursts and leakages in buried pipe infrastructure. The project will be based on a blend of experimental work and development of simulation tools to quantify the coupled effects of pipe deterioration, poor backfilling and ground movem ....Large-scale geotechnical analysis of new and aged pipeline infrastructure. This project aims to develop novel computational methods for predicting failure rates in geographically distributed pipeline networks affected by ground movements, one of the main triggers of bursts and leakages in buried pipe infrastructure. The project will be based on a blend of experimental work and development of simulation tools to quantify the coupled effects of pipe deterioration, poor backfilling and ground movements in aged and new pipelines. The results will feed towards the formulation of a framework for the large-scale stress analysis of segmented and continuous pipes, capable of using as input high-resolution geospatial observations and predictions of ground movements.Read moreRead less
Passive biofiltration processes for nitrogen removal from polluted waters. Traditional urban wastewater treatment is energy and resource demanding. By combining principles of Water Sensitive Urban Design (WSUD) with advanced pollutant removal processes, we will create necessary knowledge to underpin development of novel sustainable urban water treatment systems. This project aims to understand and utilise Simultaneous Nitrification, Anammox and Denitrification (SNAD) processes within passive pla ....Passive biofiltration processes for nitrogen removal from polluted waters. Traditional urban wastewater treatment is energy and resource demanding. By combining principles of Water Sensitive Urban Design (WSUD) with advanced pollutant removal processes, we will create necessary knowledge to underpin development of novel sustainable urban water treatment systems. This project aims to understand and utilise Simultaneous Nitrification, Anammox and Denitrification (SNAD) processes within passive plant-soil-based biofilters for cost-effective removal of nitrogen from a range of polluted urban water sources. The project will open a potential for a new technological advancements in urban water management, while simultaneously providing benefits to the environment and community through greening and waterway protection.Read moreRead less
On-line monitoring of cyanobacteria to predict coagulant doses and powdered activated carbon application in water treatment. Cyanobacteria, more commonly known as blue-green algae, can impact water quality by releasing toxins that can be harmful to human health and imparting unpleasant taste and odours to the water. This project will support the water industry in managing these risks by providing a rapid, on-line tool to assist in their removal during water treatment.
Unsaturated soil-structure interaction with emphasis on buried pipelines. Buried pipeline networks is the most common mode of transporting and distributing water, oil and gas resources and pipeline failures may have a major socioeconomic and environmental impact. The goal is to develop a framework for describing the mechanisms underlying soil-pipe interaction, aiming to reduce the failure risk of pipes affected by geohazards. The project aims to model the response of pipelines in the laboratory, ....Unsaturated soil-structure interaction with emphasis on buried pipelines. Buried pipeline networks is the most common mode of transporting and distributing water, oil and gas resources and pipeline failures may have a major socioeconomic and environmental impact. The goal is to develop a framework for describing the mechanisms underlying soil-pipe interaction, aiming to reduce the failure risk of pipes affected by geohazards. The project aims to model the response of pipelines in the laboratory, using a new custom-built apparatus. Experimental results are expected to provide insight for developing a theoretical model to quantify the effect of soil moisture on pipe integrity, and propose design formulas. A general framework is intended to be developed for handling various unsaturated soil-structure interaction problems in geotechnical engineering.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
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
Water availability and demand: better forecasts, better management. This project aims to improve Australia’s capability in the provision and use of water forecasts for managing water resources. The current water forecasts are not fully utilised by water agencies as they are not sufficiently comprehensive and advanced. This project expects to achieve a step change in the uptake and utility of hydro-climate forecasts through an extensive partnership of leading researchers and operational agencies ....Water availability and demand: better forecasts, better management. This project aims to improve Australia’s capability in the provision and use of water forecasts for managing water resources. The current water forecasts are not fully utilised by water agencies as they are not sufficiently comprehensive and advanced. This project expects to achieve a step change in the uptake and utility of hydro-climate forecasts through an extensive partnership of leading researchers and operational agencies of hydro-climate forecasting, with federal, state and regional water agencies.Read moreRead less
Smart management of disinfectant in chloraminated water-supply systems. Smart management of disinfectant in chloraminated water-supply systems. This project aims to develop an adaptive, real-time control system for managing disinfectant residuals in chloraminated water supply systems. While chloramine delivers microbiologically safe drinking water in warmer climates and in long distribution systems, it is largely unpredictable, costs water utilities millions of dollars annually, and has uncertai ....Smart management of disinfectant in chloraminated water-supply systems. Smart management of disinfectant in chloraminated water-supply systems. This project aims to develop an adaptive, real-time control system for managing disinfectant residuals in chloraminated water supply systems. While chloramine delivers microbiologically safe drinking water in warmer climates and in long distribution systems, it is largely unpredictable, costs water utilities millions of dollars annually, and has uncertain benefits. This project’s control system will be guided by quantitative models formulated from multi-pronged, fundamental experiments. The project will quantify microbial chloramine decay and determine mechanisms to increase predictability. The project will develop and demonstrate a real-time control technology which delivered microbiologically safe, cost-efficient drinking water to people in warmer climates, despite warming climate and increasing population.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100117
Funder
Australian Research Council
Funding Amount
$427,612.00
Summary
Multiobjective optimisation of reservoir operations under uncertainty. This project aims to address a crucial water resources management problem: how to manage reservoirs under uncertainty. This project expects to develop an optimisation-based framework to improve the delivery of water resources from optimised reservoir operational strategies. Expected outcomes include an innovative tool for multiobjective decision-making under uncertainty, and robust operational strategies catering for real-wor ....Multiobjective optimisation of reservoir operations under uncertainty. This project aims to address a crucial water resources management problem: how to manage reservoirs under uncertainty. This project expects to develop an optimisation-based framework to improve the delivery of water resources from optimised reservoir operational strategies. Expected outcomes include an innovative tool for multiobjective decision-making under uncertainty, and robust operational strategies catering for real-world operational situations, including conflicting objectives, natural variability in system inputs, and future uncertainty due to climate change and population growth. The improved decisions will protect lives and assets, and postpone expensive infrastructure upgrades by maximising benefits from current systems.Read moreRead less