Tethys: Sensor-based aquatic quality monitoring in waterways

Gavriil Tzortzakis, Eli Katsiri, George Karavokiros, Christos Makropoulos, Alex Delis

Research output: Chapter in Book/Report/Conference proceedingConference contribution


It is imperative that water is delivered clean to urban centers and towns despite its channelling through waterways, ponds and city aqueducts. Waterways are occasionally polluted by micro-organisms, landslides, pesticides, as well as by human activity and waste. In coordinated efforts to address such problems, water authorities and local governments resort to cleaning facilities whose main task is to filter the water in a timely fashion. In this regard, authorities must be forewarned of imminent or developing pollution issues, so that immediate corrective action can be taken. The installation of sensors that continuously monitor the quality of water passing through specific points in waterways, proves to be an effective way to implement legislative mandates for clean water. We use submerged sensors to gather measurements that can help characterize the quality of water in canals using parameters including temperature, conductivity, turbidity, PH, and pressure. Raw sensor-generated measurements turn out to be of limited help when it comes to monitor the overall water quality and by themselves, can be even misleading occasionally. In this paper, we discuss the main features of Tethys, a real-time water quality monitoring tool, whose aim is to help the Athens water authorities in their ongoing assessment of water quality. Tethys receives as input streams of measurements from stations in the field, detects unexpected events, visualizes the flow of information, and automatically alerts supervisors about potential dangers appearing in waterways. We outline our design choices, filtering mechanisms, and implementation effort in realizing Tethys and demonstrate its real-time use.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE 17th International Conference on Mobile Data Management, IEEE MDM 2016
EditorsPrem Jayaraman, Wei Wu, Chi-Yin Chow
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781509008834
StatePublished - Jul 20 2016
Event17th IEEE International Conference on Mobile Data Management, IEEE MDM 2016 - Porto, Portugal
Duration: Jun 13 2016Jun 16 2016

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
ISSN (Print)1551-6245


Conference17th IEEE International Conference on Mobile Data Management, IEEE MDM 2016


  • Sensors for Assessing Water Quality
  • Web Application

ASJC Scopus subject areas

  • General Engineering


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