Water Quality Modeling using Fault Tree Method

Abstract
The need for increased diligence in identifying pathogen-related outbreaks is demonstrable. In response, a fault tree methodology based on water quality failure mechanisms is developed to quantify the exposure of the water quality failure risk. The method is shown to provide an index to assist in locating on-line sensors within water distribution systems. The use of a combination of sensors is proposed for microbial detection in water distribution systems and a Bayesian classification method, in conjunction with a data mining procedure, to evaluate these sensor data and develop inferences whether pathogen excursions are causing exposure hazards in water distribution system.
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