About this Project
Water quality deteriorates as it passes through drinking water distribution systems (DWDS). Advances in technology and communications mean wireless sensor networks can be deployed to perform continuous and widespread water quality monitoring within these essential assets. However, there is currently a knowledge gap regarding how to transform the resulting data into actionable information.
This project aims to undertake a thorough investigation into what information can be derived from such data. With access to multiple real-world DWDS water quality datasets, data analysis processes will be developed in order to robustly and automatically decode the data and transform it into actionable information.
In order to meet these aims, a methodology is proposed that moves systematically from single-parameter single-sensor analysis towards an eventual multi-parameter multi-sensor solution, which can provide vital information on the condition of both the DWDS assets and the water passing through.
Posters and Presentations
"Connecting Chlorine Sensor Data in Distribution Networks" presentation, June 2020 Water Network meeting.
"Decoding Distribution Data" poster, won 1st place at WIRe annual conference 2020.
"Overcoming the Challenges of Smart Water Quality" poster, WIRe annual conference 2021.
"Automated Data Quality Assurance for Water Quality Sensors" presentation, AWWA WQTC 2021 in Tacoma, Washington.
"Determining the spatiotemporal relationship between water quality monitors in drinking water distribution systems" presentation, HIC 2022 in Bucharest, Romania.
"Linking Water Quality Sensors in Distribution Systems", poster, WIRe annual conference 2022, nominated for 2022 SWIG Early Career Innovation Poster Prize.
Papers
"Determining the spatiotemporal relationship between water quality monitors in drinking water distribution systems" conference paper, HIC 2022 in Bucharest, Romania.
"A data quality assessment framework for drinking water distribution system water quality time series datasets" Killian Gleeson, Stewart Husband, John Gaffney, and Joby Boxall. Journal of Water Supply: Research and Technology-Aqua, 2023.
Personnel
Killian Gleeson - PhD Researcher, the University of Sheffield
Dr Stewart Husband - Academic Supervisor, the University of Sheffield
Professor Joby Boxall - Academic Supervisor, the University of Sheffield
Dr John Gaffney - Industrial Supervisor, Siemens UK
