Author(s)

CHRISTINE SAAB, ELIAS FARAH, ISAM SHAHROUR, FADI HAGE CHEHADE

Abstract

The objective of a drinking water network is to provide a good quality of water to users. Accidental or intentional contamination can degrade the water quality and consequently threats the consumer’s health. Generally, the water quality is monitored using traditional methods, based on manual sampling, which can take several days. Early warning of water contamination can be achieved using smart technology. This paper presents a field study of the use of this technology in real-time monitoring of the water quality. The field study is conducted at the Campus of the University of Lille in the North of France within the European Project “SmartWater4Europe” (http://www.sw4eu.com). Two sensors are installed in the campus: S::CAN and EventLab which measure several water quality parameters such as TOC (Total Organic Carbon), turbidity, refractive index, etc. This paper presents analysis of these parameters as well as the influence of hydraulic parameters on the water quality. It presents also an event detection system, which is developed using CANARY software. A sensitivity study is presented to determine the appropriate parameters in order to reduce false alarms and to determine the probability of possible event.

Keywords

water quality, monitoring, event detection, smart technology