Chapter
Apr 26, 2012
A Methodology for Water Quality Regulatory Compliance Using Bayesian Belief Networks
Authors: Shannon A. Joseph [email protected] and Barry J. Adams [email protected]Author Affiliations
Publication: Water Distribution Systems Analysis 2008
Abstract
Water quality failures in the developed world occur primarily in drinking water distribution systems in rural or small communities. Increased water system monitoring through the use of information technologies, such as sensors and SCADA systems, can reduce the risk of undetected water quality failures and support small utilities in keeping abreast of increasing regulatory stringency. However, because of financial constraints, rural utilities may be particularly susceptible to some of the shortcomings associated with these technologies, such as false readings and data corruption. Bayesian Belief Networks (BBNs) are proposed as a means to integrate sensor information with other operational information to mitigate technological shortcomings and increase certainty about the state of a given drinking water system. The methodology used to develop the BBN for a case study system is discussed in detail.
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© 2008 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Analysis (by type)
- Bayesian analysis
- Drinking water
- Engineering fundamentals
- Environmental engineering
- Equipment and machinery
- Failure analysis
- Geography
- Geomatics
- Infrastructure
- Lifeline systems
- Probe instruments
- Rural areas
- Statistical analysis (by type)
- Utilities
- Water (by type)
- Water and water resources
- Water management
- Water quality
- Water supply
- Water supply systems
- Water treatment
Authors
Affiliations
Department of Civil Engineering, University of Toronto, 35 St-George Street, Toronto, M5S 1A4 Canada,. E-mail: [email protected]
University of Toronto, Toronto, Canada. E-mail: [email protected]
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