Bayesian modelling for long-term prediction of biofilm growth under environmental variability at key naval ports in Australia
Project Summary
The aim of this project is to develop a better understanding of how environmental conditions and antifouling materials affect biofilm growth by integrating existing knowledge and real-time field data into an intelligent predictive tool.
This tool will enable the assessment of treatment performance much more efficient by offering a probabilistic model which is capable of predicting biofilm growth rates on antifouling materials, under stochastic environmental conditions, and considering temporal changes in model parameters.
Project Value
$755,217
DIP Contribution
$149,741
Status
Ongoing Projects
Project Lead
Dr Tamar Jamieson
Collaborating Partners
