TY - GEN
T1 - Tethys
T2 - 17th IEEE International Conference on Mobile Data Management, IEEE MDM 2016
AU - Tzortzakis, Gavriil
AU - Katsiri, Eli
AU - Karavokiros, George
AU - Makropoulos, Christos
AU - Delis, Alex
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/20
Y1 - 2016/7/20
N2 - 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.
AB - 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.
KW - Sensors for Assessing Water Quality
KW - Web Application
UR - http://www.scopus.com/inward/record.url?scp=84981713371&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84981713371&partnerID=8YFLogxK
U2 - 10.1109/MDM.2016.56
DO - 10.1109/MDM.2016.56
M3 - Conference contribution
AN - SCOPUS:84981713371
T3 - Proceedings - IEEE International Conference on Mobile Data Management
SP - 329
EP - 332
BT - Proceedings - 2016 IEEE 17th International Conference on Mobile Data Management, IEEE MDM 2016
A2 - Jayaraman, Prem
A2 - Wu, Wei
A2 - Chow, Chi-Yin
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 June 2016 through 16 June 2016
ER -