Smart Water Symposium

Oral

393051 - Algorithm for Early Contamination Detection in Water with Highly Varying Stochastic Backgrounds Based on UV-Spectrophotometer Measurements

Monday, June 4
4:00 PM - 5:30 PM
Location: Lakeshore A

Water is a resource that affects every aspect of life. Intentional (terrorist or wartime events) or accidental water contamination events could have a tremendous impact on public health, behavior and morale. Quick detection of such events can mitigate their effects and reduce the expected damage. Continuous on-line monitoring is the first line of defense for reducing contamination associated damage. One of the available tools for such detection is the UV-absorbance spectrophotometry, where the absorbance spectra are compared against a set of normal and contaminated water fingerprints. However, as there are many factors at play that affect this comparison, it is an allusive and tedious task. Further, the comparison against set of known fingerprints is futile when the water in the supply system are a mix, with varying proportions, of water from different sources, which differ significantly in their physicochemical characteristics. This study presents a new scheme for early detection of contamination events through UV absorbance under unknown routine conditions. The detection mechanism is based on a new affinity measure, Fitness, which is flexible enough to identify the water source and alert if a contamination is present. The method was shown to be most effective when was applied to a set of comprehensive experiments, which examined the absorbance of both various contaminants in drinking water extracted from a supply system and mixed-source water, in which the proportions of water from the various sources vary.

Tehila Asheri-Arnon

PhD Student / National Chief Hydrologist
Mekorot, the National Water Company of Israel

Presentation(s):

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Shai Ezra

National Chief Water Quality Officer
Mekorot, the National Water Company of Israel

Presentation(s):

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Barak Fishbain

Assistant Professor
Technion - Israel Institute of Technology

Presentation(s):

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393051 - Algorithm for Early Contamination Detection in Water with Highly Varying Stochastic Backgrounds Based on UV-Spectrophotometer Measurements



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