An expert-hypertext system for water chlorination and chloramination operations

Bather, Ansel; Hunsinger, Ronald

doi:10.1139/cjce-25-4-653

Cited by 2 publications

(2 citation statements)

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“…Zhu & Simpson (1996) developed expert systems, based on interviews of plant operators to facilitate the WTP's operators. Bather et al (1998) developed an expert-hypertext system to support the operation of water chlorination in the form of a decision tree and 'IF-THEN' rules. Risebro et al (2007) developed fault trees to identify the causes of waterborne outbreaks.…”

Section: Introductionmentioning

confidence: 99%

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Performance management of small water treatment plant operations: a decision support system

Stein

Achari

Langford

et al. 2017

Water & Environment J

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A decision support system (DSS) is developed to optimise the performance of different operations of small water treatment systems to improve day-to-day decisions. The support system includes a data management system, knowledge-based system, performance assessment of different unit processes, fault tree analyses, preventive and corrective actions and event tree analysis (ETA). Performance assessment identifies the critical events (failures) and fault tree analysis identifies the interrelationships between the critical events and the root causes. Fault trees are developed based on the information obtained from events of waterborne outbreaks, responses to questionnaires by the participating smaller utilities, state-ofthe-art literature review and personal communication with the operators. ETA is used to identify the potential health outcomes which are further integrated with the quantitative microbial risk assessment. The developed DSS is advanced to an automated user friendly program that can be used by treatment plant operators to assess system performance.

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Section: Introductionmentioning

confidence: 99%

“…Bather et al . () developed an expert‐hypertext system to support the operation of water chlorination in the form of a decision tree and ‘IF‐THEN’ rules. Risebro et al .…”

Section: Introductionmentioning

confidence: 99%

Performance management of small water treatment plant operations: a decision support system

Stein

Achari

Langford

et al. 2017

Water & Environment J

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MODELING DRINKING WATER QUALITY VIOLATIONS WITH BAYESIAN NETWORKS¹

Pike¹

2004

J American Water Resour Assoc

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Compliance violations at community water systems are rare but represent significant human health risks. These risks are mediated by the decision schema of human operators at water treatment facilities. However, causal uncertainty among physical and human factors involved in water quality problems complicates assessment of their probability and severity. This study uses a probabilistic Bayesian network modeling approach to explore the causes of compliance violations in a sample of water treatment systems in Pennsylvania. The model presented here is one of several created by treatment system operators during an expert elicitation process. The expert model alone predicts violations poorly, suggesting that experts make inaccurate quantitative estimates. However, Bayesian networks are capable of combining the subjective expertise of treatment system operators with the objective compliance histories of the facilities they manage, and the expert model accurately predicts violations when trained with historical compliance data. Analysis of the trained network reveals those components of the treatment process, including environmental and system characteristics as well as operator decisions, that play the greatest role in determining the likelihood of major violation types. Among operator decisions, coagulant dosing and filter backwash frequency are the most important determinants of violation likelihood.

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An expert-hypertext system for water chlorination and chloramination operations

Cited by 2 publications

References 0 publications

Performance management of small water treatment plant operations: a decision support system

Performance management of small water treatment plant operations: a decision support system

MODELING DRINKING WATER QUALITY VIOLATIONS WITH BAYESIAN NETWORKS¹

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An expert-hypertext system for water chlorination and chloramination operations

Cited by 2 publications

References 0 publications

Performance management of small water treatment plant operations: a decision support system

Performance management of small water treatment plant operations: a decision support system

MODELING DRINKING WATER QUALITY VIOLATIONS WITH BAYESIAN NETWORKS1

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MODELING DRINKING WATER QUALITY VIOLATIONS WITH BAYESIAN NETWORKS¹