Modelling Investigation of Arsenic Contamination in Drinking Water
This project supports comprehensive investigation of arsenic contamination in the aquatic ecosystems in Canada. The project aims to provide a framework/guideline to predict probability arsenic contamination in different area. This will be through appling AI and ML modelling approaches by considering geo-environment and hydrochemical predictor variables. The MITACS support will be used to hire a research assistant to support the activities envisaged in the project. The researcher will be supporting computational modelling at Memorial University (MUN).
Voir la description complète du projetSohrab Zendehboudi
Energy, Matter & Environmental (EM&E) Consultants Inc
Engineering
Professional, scientific and technical services
Memorial University of Newfoundland
Accelerate
