School of Civil Engineering

Adaptive Real-time Monitoring-integrated Modelling of Aquatic Systems

Real-time monitoring networks are increasingly prevalent in environmental systems. Environmental model calibration and validation are commonly performed on fixed datasets in space and time assuming system stationarity and that observations utilised are representative for evaluating the dynamics of the system. Advances in monitoring technology allow the development of an adaptive learning modelling feedback framework to infer the present state of an aquatic system and improve predictive performance. Utilising case studies locally at Baroon Pocket Dam and abroad in the Solomon Islands, the implementation of this kind of framework is to be evaluated relative to standard monitoring and modelling practices.

10:00am - 11:00am

Wednesday, 18 March 2020


AEB Seminar Room 502
Advanced Engineering Building (49)