title: An integrated logit model for contamination event detection in water distribution systems.
abstract: The problem of contamination event detection in water distribution systems has become one of the most challenging research topics in water distribution systems analysis. Current attempts for event detection utilize a variety of approaches including statistical, heuristics, machine learning, and optimization methods. Several existing event detection systems share a common feature in which alarms are obtained separately for each of the water quality indicators. Unifying those single alarms from different indicators is usually performed by means of simple heuristics. A salient feature of the current developed approach is using a statistically oriented model for discrete choice prediction which is estimated using the maximum likelihood method for integrating the single alarms. The discrete choice model is jointly calibrated with other components of the event detection system framework in a training data set using genetic algorithms. The fusing process of each indicator probabilities, which is left out of focus in many existing event detection system models, is confirmed to be a crucial part of the system which could be modelled by exploiting a discrete choice model for improving its performance. The developed methodology is tested on real water quality data, showing improved performances in decreasing the number of false positive alarms and in its ability to detect events with higher probabilities, compared to previous studies.
authors.affiliation: Department of Natural Resources and Environmental Management, University of Haifa, 3498838, Israel.
authors.forename: Mashor
authors.initials: M
authors.lastname: Housh
authors.affiliation: Faculty of Civil and Environmental Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel. Electronic address: ostfeld@tx.technion.ac.il.
authors.forename: Avi
authors.initials: A
authors.lastname: Ostfeld
mesh_terms: D060766:Drinking Water; D004784:Environmental Monitoring / Q000379:methods*; D016015:Logistic Models; D014874:Water Pollutants, Chemical / Q000032:analysis*; D060753:Water Quality; D014881:Water Supply
chemical_list: D060766:Drinking Water; D014874:Water Pollutants, Chemical
keywords: Event detection; Logit analysis; Water distribution systems; Water quality; Water security