Near-Optimal Selection Of Multi-Confirmatory Sampling Locations In Water Distribution Systems
Presenter: Camilo Salcedo1
Advisor(s): Dr. Dominic Boccelli
1Department of Civil and Architectural Engineering and Mechanics, University of Arizona
In Water Distribution Systems (WDS), fixed sensors have been widely used to detect contamination events and identify their source location in a timely manner. However, due to limitations such as budget and specificity in the contaminant that can be detected, these sensors are not sufficient to fully characterize a potential contamination event. In this context, previous research developed by our group has demonstrated the feasibility of including Confirmatory Sampling Locations (CSL) as an alternative to gather new information whether a junction in the network is contaminated - or not - in real-time, thereby improving the performance of a contaminant spread algorithm. Moreover, the use of heuristic methodologies such as Genetic Algorithms (GA) will be presented as an approach to simultaneously identify a near-optimal set of multiple confirmatory sampling locations, considering a forecasted spread of the contaminant in the network.