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
Ecohydrological forecasting: the pivotal role of root-zone soil moisture. This project aims to overcome the scientific and technological challenges preventing soil water and vegetation forecasting at useful land management scales (eg. 25 m). The significance is in enabling an unprecedented hyperresolution modelling capability for Australia through the integration of new ecohydrological theory with a range of satellite observations. Outcomes include more accurate, spatially-detailed information o ....Ecohydrological forecasting: the pivotal role of root-zone soil moisture. This project aims to overcome the scientific and technological challenges preventing soil water and vegetation forecasting at useful land management scales (eg. 25 m). The significance is in enabling an unprecedented hyperresolution modelling capability for Australia through the integration of new ecohydrological theory with a range of satellite observations. Outcomes include more accurate, spatially-detailed information of current soil water amounts, and reliable forecasts of vegetation condition several months into the future. This will greatly enhance timely decision making and forward planning by farmers, fire agencies, and other land and water managers, with corresponding increases in productivity, sustainability and community safety.Read moreRead less