Water Science & Technology Special Issue on
Developments and Applications of IoT-based Sensors
for Wastewater and Drainage Systems
The ongoing rapid development of the internet of things (IoT) concept as part of smart city development triggers new approaches for the monitoring and controlling of urban water and wastewater infrastructure. The prevalence of system-wide management of urban water and wastewater infrastructure will therefore increase in future. Notably, the evolution of low-cost sensors, when combined with innovative and wireless data transfer technologies, enables large-scale implementation of measurement equipment, even in remote or underground structures. These developments open up new opportunities for the management of the urban stormwater and wastewater infrastructure.
This Special Issue gathers contributions and review articles on advancing scientific and technical methodologies, technologies, and best practices in the context of IoT sensors for urban wastewater and drainage systems. We have created a broad collection of papers introducing recent developments, new experiences and novel ideas.
Guest Editors:Prof. Dr. Robert Sitzenfrei, University of Innsbruck, Austria
Prof. Dr. Ivar Annus, Tallinn University of Technology, Estonia
Prof. Dr. Jeroen Langeveld, Technical University Delft, Netherlands
Dr. Jörg Rieckermann, Swiss Federal Institute of Aquatic Science and Technology, Switzerland
Prof. Dr. Wolfgang Rauch, University of Innsbruck, Austria
Editorial: Developments and applications of IoT-based sensors for wastewater and drainage systems
Robert Sitzenfrei; Ivar Annus; Jeroen Langeveld; Jörg Rieckermann; Wolfgang Rauch
Water Science & Technology (15 February 2024) 89 (4): iii–v.
DOI: https://doi.org/10.2166/wst.2024.058
A comprehensive, open-source data model for wastewater-based epidemiology
Jean-David Therrien; Mathew Thomson; Eugen-Sorin Sion; Ivan Lee; Thomas Maere; Niels Nicolaï; Douglas G. Manuel; Peter A. Vanrolleghem
Water Science & Technology (2024) 89 (1): 1–19.
DOI: https://doi.org/10.2166/wst.2023.409
Imane Zidaoui; Cédric Wemmert; Matthieu Dufresne; Claude Joannis; Sandra Isel; Jonathan Wertel; José Vazquez
Water Science & Technology (2023) 87 (12): 2957–2970.
DOI: https://doi.org/10.2166/wst.2023.174
Monitoring and control of smart urban drainage systems using NB-IoT cellular sensor networks
Priit Roosipuu, Ivar Annus, Alar Kuusik, Nils Kändler, Muhammad Mahtab Alam
Water Science & Technology (2023) 88 (2): 339–354.
DOI: https://doi.org/10.2166/wst.2023.222
Chances and barriers of building information modelling in wastewater management
Florian Kretschmer, S. Franziskowski, F. Huber, T. Ertl
Water Science & Technology (2023) 87 (7): 1630–1642.
DOI: https://doi.org/10.2166/wst.2023.079
Smart water campus – a testbed for smart water applications
Martin Oberascher; Carolina Kinzel; Ulrich Kastlunger; Martin Schöpf; Karl Grimm; Daniel Plaiasu; Wolfgang Rauch; Robert Sitzenfrei
Water Science & Technology (2022) 86 (11): 2834–2847.
DOI: https://doi.org/10.2166/wst.2022.369
Joanne Mac Mahon, Alejandro Javier Criado Monleon, Laurence W. Gill, John J. O'Sullivan, Wim G. Meijer
Water Science & Technology (2022) 86 (6): 1402–1425.
DOI: https://doi.org/10.2166/wst.2022.278
A predictive model for ammonium removal in polishing ponds operated in sequential bath mode
Carlos Eduardo Pereira de Morais, Silvânia Lucas dos Santos, Adrianus van Haandel
Water Science & Technology (2023) 87 (1): 13–26.