As part of an EPA funded Contamination Warning System (CWS) Pilot Project, the Philadelphia Water Department (PWD) maintains and receives data from over thirty different on-line water quality monitoring (OWQM) stations throughout the city. Each of these stations collects data for a minimum of eight discrete water quality parameters on two-minute intervals. Collecting this data presents the need for an OWQM Event Detection System (EDS), which is an integral part of the CWS Pilot Project. The goal of this study was to evaluate different EDS technologies throughout the water distribution system. Two EDS’s were evaluated at specific monitoring stations with different hydraulic profiles. These profiles included a pumping station, a reservoir influent and effluent, and multiple distribution locations. The specific objectives for this evaluation included: 1. Minimizing the number of false alarms per week without omitting true alarms. 2. Maximizing the system run time while minimizing the system malfunction and down time. 3. Minimizing the time consumed working with the system while maximizing the information gained for investigation purposes. This includes decreasing calibration and system set up time, minimizing the time spent investigating alarms, and optimizing a graphical user interface. This paper will be focused on objectives one and three and will discuss the implementation, investigation process, user interface, and algorithms behind both of these systems.
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