Addressing uncertainty in catchment models using machine learning

This webinar will be presented by Aditya Singh, a Senior Water Resources Engineer at KCB. Last year, Aditya was part of a project within the Research Development and Innovation (RDI) scheme managed by the Queensland Water Modelling Network (QWMN). As part of the project, he has looked at using a distributed catchment model to improve representation of catchment scale processes and linkages to finer scale hydrodynamic models. The project also saw the use of PEST for parameter estimation and a hybridisation approach involving some machine learning methods to predict water quality.

The webinar will include a short (approximately 20-minute) presentation by Aditya, followed by Q&A.

Registration:  This webinar is FREE of charge to all.