Research Grant
[Cite as https://purl.org/au-research/grants/arc/LP180101151]
Researchers:
Associate Professor James McGree
(Chief Investigator)
,
Associate Professor James McGree
(Chief Investigator)
,
Distinguished Professor Kerrie Mengersen
(Chief Investigator)
,
Erin Peterson
(Chief Investigator)
,
Prof Robin Hyndman
(Chief Investigator)
View all 10 related researchers
Brief description 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.
Funding Amount $484,189
Funding Scheme Linkage Projects
- PURL : https://purl.org/au-research/grants/arc/LP180101151
- ARC : LP180101151