Network hydraulics inclusion in water quality event detection using multiple sensor stations data. (1st September 2015)

• Record Type: Journal Article
• Authors: Oliker, Nurit; Ostfeld, Avi
• Is Part Of: Water research. Volume 80(2015)
• Page Start: 47
• Page End: 58
• Publication Date: 2015-09-01
• Subjects: Water distribution systems -- Multiple sensors -- Water security -- Event detection; Water -- Pollution -- Research -- Periodicals; 363.7394
• DOI: 10.1016/j.watres.2015.04.036
• Languages: English
• ISSNs: 0043-1354

Abstract

Abstract: Event detection is one of the current most challenging topics in water distribution systems analysis: how regular on-line hydraulic (e.g., pressure, flow) and water quality (e.g., pH, residual chlorine, turbidity) measurements at different network locations can be efficiently utilized to detect water quality contamination events. This study describes an integrated event detection model which combines multiple sensor stations data with network hydraulics. To date event detection modelling is likely limited to single sensor station location and dataset. Single sensor station models are detached from network hydraulics insights and as a result might be significantly exposed to false positive alarms. This work is aimed at decreasing this limitation through integrating local and spatial hydraulic data understanding into an event detection model. The spatial analysis complements the local event detection effort through discovering events with lower signatures by exploring the sensors mutual hydraulic influences. The unique contribution of this study is in incorporating hydraulic simulation information into the overall event detection process of spatially distributed sensors. The methodology is demonstrated on two example applications using base runs and sensitivity analyses. Results show a clear advantage of the suggested model over single-sensor event detection schemes. Graphical abstract: Highlights: Incorporation of multiple sensors' database with network hydraulics. An integrated local and spatial event detection system. Mapping of contamination spread in water networks. Improved performance compared to single-sensor station model.