Development of Smart Analytics Software for Remote Water Quality Assessment

The management of quality of drinking water systems, river and lakes is a significant environmental challenge. In this research project, we plan to develop low-cost real-time water quality monitoring and analytics software, which can be used to analyze and predict water quality in remote lakes, rivers, drinking water plants and other water bodies. The Aquahive remote water monitoring system developed by the Aquatic Life Ltd., a Canadian company, will be deployed to capture the physical, chemical, and biological characteristics of the water quality in real-time. The primary objective of this research is to develop algorithms for performing anomaly detection and predictive analytics in real-time for assessing the water quality. The second objective of this research is to automate the process of analyzing and monitoring water quality by developing the software. The software will contain in-built functions for cleaning the collected data, visualizing the data, performing anomaly detection, and predicting the future values of the water quality variables in real-time.

Faculty Supervisor:

Saman Muthukumarana;Miguel Uyaguari;Wouter Deconinck

Student:

Shruti Kaushik

Partner:

Aquatic Life Ltd

Discipline:

Statistics / Actuarial sciences

Sector:

Mining and quarrying

University:

University of Manitoba