Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP180101151
Funding Status
Active
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Funded Activity Summary
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.Funded Activity Details
Start Date: 11-2019
End Date: 05-2024
Funding Scheme: Linkage Projects
Funding Amount: $484,189.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Applied Statistics | Natural Resource Management | Environmental Monitoring | Statistics |
ANZSRC Socio-Economic Objective (SEO)
Physical and Chemical Conditions of Water in Fresh, Ground and Surface Water Environments (excl. Urban and Industrial Use) | Rural Water Evaluation (incl. Water Quality)
