Monitoring organic matter in drinking water systems using fluorescence spectroscopy: improved early warning, process optimisation and water quality. Climate change is contributing to elevated organic matter (OM) concentrations in drinking water supplies. If insufficiently treated, OM can lead to unacceptable concentrations of disinfection by-products, considered to be potential carcinogens, as well as taste and odour problems and bacterial re-growth in the distribution system. Currently availabl ....Monitoring organic matter in drinking water systems using fluorescence spectroscopy: improved early warning, process optimisation and water quality. Climate change is contributing to elevated organic matter (OM) concentrations in drinking water supplies. If insufficiently treated, OM can lead to unacceptable concentrations of disinfection by-products, considered to be potential carcinogens, as well as taste and odour problems and bacterial re-growth in the distribution system. Currently available on-line monitoring techniques give limited information regarding the nature of OM; however, fluorescence spectroscopy has shown promise in this regard. Hence, this project aims to provide an on-line monitoring protocol utilising fluorescence to aid utilities in their provision of safe drinking water, thus addressing the National Research Priority goal water – a critical resource.Read moreRead less
Adaptive ecotyping of the toxic cyanobacterium Cylindrospermopsis raciborskii to predict its invasive capacity. We change the world while other organisms adapt to these new conditions. Cyanobacteria (blue green algae) increasingly dominate water bodies that were previously free of these harmful blooms. To minimise the spread of these algae, this project will study the genetic basis that determines how rapidly they can evolve and adapt to a changing planet.
Activating lazy stormwater wetlands through real time monitoring & control. Constructed stormwater wetlands are the last line of defence preventing pollution of urban waterways, but wetlands often fail, with their passive operation unable to adapt to the highly variable climate and hydrology they experience. This project aims to use advances in real-time control technology to turn these lazy wetlands into active wetland systems, optimising their performance. It aims to deliver new-generation tec ....Activating lazy stormwater wetlands through real time monitoring & control. Constructed stormwater wetlands are the last line of defence preventing pollution of urban waterways, but wetlands often fail, with their passive operation unable to adapt to the highly variable climate and hydrology they experience. This project aims to use advances in real-time control technology to turn these lazy wetlands into active wetland systems, optimising their performance. It aims to deliver new-generation technologies to enhance water quality treatment, enhance urban water security and guarantee environmental flows to maintain healthy waterways. Working in partnership with waterway managers and water retailers, this project strives to deliver a nationally and globally relevant technology to change how we manage water in cities.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100524
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
Interactions between plants and faecal pathogens in urban water treatment: significance of soil microbes, plant debris, root exudates and rhizosphere. It is important to treat pathogens in stormwater and wastewater before release into downstream recreational waters or harvesting. Using plants in water treatment improves the removal of pollutants of concern to human and ecosystem health. However, the exact mechanisms which generate this improvement remain unknown, and this is especially true for ....Interactions between plants and faecal pathogens in urban water treatment: significance of soil microbes, plant debris, root exudates and rhizosphere. It is important to treat pathogens in stormwater and wastewater before release into downstream recreational waters or harvesting. Using plants in water treatment improves the removal of pollutants of concern to human and ecosystem health. However, the exact mechanisms which generate this improvement remain unknown, and this is especially true for faecal pathogen removal. This project will enhance our understanding of the interactive role that roots, their exudates, plant debris and soil microbes play in faecal pathogen removal in urban water treatment systems. Through this understanding, this project will lead to optimised low-energy, low-tech and low-maintenance treatment systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100042
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Virtual reality for planning of green urban water infrastructure. This project aims to research the planning-technical-social dynamics of Water Sensitive Urban Design (WSUD) infrastructure. WSUD management has become financially and logistically unsustainable due to major urban growth and a rapid uptake in WSUD assets. Solving this problem is, however, complex, as stakeholders have conflicting needs and tacit knowledge that is difficult to quantify. Using emerging virtual reality technology, par ....Virtual reality for planning of green urban water infrastructure. This project aims to research the planning-technical-social dynamics of Water Sensitive Urban Design (WSUD) infrastructure. WSUD management has become financially and logistically unsustainable due to major urban growth and a rapid uptake in WSUD assets. Solving this problem is, however, complex, as stakeholders have conflicting needs and tacit knowledge that is difficult to quantify. Using emerging virtual reality technology, participatory planning and operational models, this project intends to improve WSUD modelling science through integrated modelling. The anticipated outcome is more holistic and economically efficient planning of WSUD layouts in future cities. This is expected to address growing concerns about adequately managing these systems and ensure that they deliver intended environmental protection, liveability and public health benefits.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
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.
Revolutionising water-quality monitoring in the information age. In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection ....Revolutionising water-quality monitoring in the information age. In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection in water-quality data and generating predictions of sediment and nutrient concentrations throughout river networks in near-real time. This will represent a fundamental increase in scientific knowledge, which will be immediately useful in the domains of aquatic science, environmental monitoring, and statistics.Read moreRead less
Preventive And Early Intervention Strategies In Emerging Mental Disorders In Young People
Funder
National Health and Medical Research Council
Funding Amount
$2,000,000.00
Summary
The Centre will be developed through the extension of a youth psychiatry clinical research program of international standing across Melbourne and Sydney. The CCRE will have a major impact on the growth and sustainability of clinical research expertise in youth mental health and its translation into clinical practice. Funds will be targeted specifically at two key opportunities in an evolving structure, namely the early career path for emerging young clinical researchers and the need for more inn ....The Centre will be developed through the extension of a youth psychiatry clinical research program of international standing across Melbourne and Sydney. The CCRE will have a major impact on the growth and sustainability of clinical research expertise in youth mental health and its translation into clinical practice. Funds will be targeted specifically at two key opportunities in an evolving structure, namely the early career path for emerging young clinical researchers and the need for more innovative and potent translation of clinical research into the real world of clinical practice. NHMRC CCRE funding will strengthen the ORC initiative by strategically filling gaps in early career development and training, and drive dissemination and translation of research into clinical practice across Australia.Read moreRead less
Predicting water quality at the catchment scale: learning from two decades of monitoring. Poor water quality affects many rivers and receiving waters such as the Great Barrier Reef and Gippsland Lakes. This project aims to use Bayesian hierarchical models of statewide water quality data to quantify the effects of a range of factors on stream water quality including climate, land use, river flow, vegetation cover, etcetera. The analysis intends to extract information from the entire data set rath ....Predicting water quality at the catchment scale: learning from two decades of monitoring. Poor water quality affects many rivers and receiving waters such as the Great Barrier Reef and Gippsland Lakes. This project aims to use Bayesian hierarchical models of statewide water quality data to quantify the effects of a range of factors on stream water quality including climate, land use, river flow, vegetation cover, etcetera. The analysis intends to extract information from the entire data set rather than concentrating on individual sites. It intends to underpin a new predictive capacity including response to land use and management changes and climatic variations based on long-term data sets, as well as a water quality prediction capability. It is intended that the models developed will jointly model a range of inter-related water quality parameters.Read moreRead less