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
Development of novel passive sampling devices for ammonia monitoring. This project will develop novel inexpensive passive samplers for ammonia which is an indicator for faecal contamination in stormwater. These devices will increase dramatically the efficiency in isolating intermittent faecal contamination sources in drainage networks by eliminating the need for extensive manual sampling and inspection operations.
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
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
Impacts of pharmaceuticals and personal care products on Australian aquatic ecosystems. Pharmaceutical and personal care products (e.g. antihistamines, caffeine, antibiotics) have recently been shown to suppress rates of the critical processes providing food resources to fish and insects, threatening viability of aquatic ecosystems. Using novel methods, this project will investigate acute and longer term impacts of these chemicals.