ID:
publications-4061
Type:
article
Year:
2006
Authors:
Dawsey, Wesley J. and Minsker, Barbara S. and VanBlaricum, Vicki
Title:
Bayesian Belief Networks to Integrate Monitoring Evidence of Water Distribution System Contamination
Venue/Journal:
Journal of Water Resources Planning and Management
DOI:
10.1061/(asce)0733-9496(2006)132:4(234)
Research type:
Water System:
Technical Focus:
Abstract:
A Bayesian belief network (BBN) methodology is proposed for combining evidence to better characterize contamination events and reduce false positive sensor detections in drinking water distribution systems. A BBN is developed that integrates sensor data with other validating evidence of contamination scenarios. This network is used to graphically express the causal relationships between events such as operational changes or a true contaminant release and consequent observable evidence in an example distribution system. In the BBN methodology proposed here, multiple computer simulations of contaminant transport are used to estimate the prior probabilities of a positive sensor detection. These simulations are run over multiple combinations of possible source locations and initial mass injections for a conservative solute. This approach provides insight into the effect of uncertainties in source mass and location on the detection probability of the sensors. In addition, the simulations identify the upstream ...
Link with Projects:
Link with Tools:
Related policies:
ID:
