The University of British Columbia

Published purpose

The general objective of this project is to develop machine learning tools to analyze long-term water quality monitoring data on mine sites. The team will access and extract data from the water quality database to be built. Then suitable machine learning algorithms will be selected and applied through computer coding to analyze these data. The computer coding will be done through Python, a high level programming language. The goal of this data analysis is to identify correlations between water chemistry and other site conditions, such as meteorological conditions. The outcome of this research will help improve water quality prediction and develop strategies for prevention, control, and remediation of pollution from mine waste materials.