Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Optimizing operational reliability of the Cincinnati contamination warning system
The U.S. Environmental Protection Agency developed a contamination warning system (CWS) design with multiple, independent data streams to quickly detect unintentional or intentional contamination of drinking water distribution systems. During evaluation of the first full‐scale pilot CWS in Cincinnati, Ohio, one primary design objective ‐ optimizing operational reliability ‐ was measured through two performance metrics: availability and data completeness. This evaluation was conducted to identify potential fail points, implement procedures to reduce downtime, and minimize lost or inaccurate data. Through two years of data collection and system optimization, the Cincinnati pilot CWS demonstrated continuous detection capabilities, even when some components or sub‐components were nonfunctional. Subsequent distribution system modeling showed that the probability of experiencing a contamination incident while multiple components were nonfunctional was negligible. Overall, the optimized Cincinnati pilot CWS demonstrated robust operational reliability, with a high percentage of availability and data completeness.
Optimizing operational reliability of the Cincinnati contamination warning system
The U.S. Environmental Protection Agency developed a contamination warning system (CWS) design with multiple, independent data streams to quickly detect unintentional or intentional contamination of drinking water distribution systems. During evaluation of the first full‐scale pilot CWS in Cincinnati, Ohio, one primary design objective ‐ optimizing operational reliability ‐ was measured through two performance metrics: availability and data completeness. This evaluation was conducted to identify potential fail points, implement procedures to reduce downtime, and minimize lost or inaccurate data. Through two years of data collection and system optimization, the Cincinnati pilot CWS demonstrated continuous detection capabilities, even when some components or sub‐components were nonfunctional. Subsequent distribution system modeling showed that the probability of experiencing a contamination incident while multiple components were nonfunctional was negligible. Overall, the optimized Cincinnati pilot CWS demonstrated robust operational reliability, with a high percentage of availability and data completeness.
Optimizing operational reliability of the Cincinnati contamination warning system
Pickard, Brian C. (Autor:in) / Haas, Adam J. (Autor:in) / Allgeier, Steven C. (Autor:in)
Journal ‐ American Water Works Association ; 103 ; 60-68
01.01.2011
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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