Conceptual framework for sewer pump problems allowing for fuzzy logic application

Sewer pump station problems in separate sewer systems (separate from stormwater drainage systems) were investigated in order to derive a conceptual framework for decision making. Notwithstanding the fundamental service that efficient sewage pumping provides to a community, it was apparent that limit...

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Vydané v:Water S. A. Ročník 41; číslo 3; s. 335 - 342
Hlavní autori: Bester, A.J., Jacobs, H.E., Tulleken, J.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Gezina Water Research Commission (WRC) 01.04.2015
Water Research Commission
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ISSN:0378-4738, 1816-7950, 0378-4738
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Abstract Sewer pump station problems in separate sewer systems (separate from stormwater drainage systems) were investigated in order to derive a conceptual framework for decision making. Notwithstanding the fundamental service that efficient sewage pumping provides to a community, it was apparent that limited research has been published on the topic. Research was undertaken to identify, investigate and classify problems at existing operational sewage pump stations by means of site visits, interviews, and an extensive knowledge review. A conceptual framework for sewer pump problems was subsequently derived. The application of the framework is illustrated by means of a fuzzy logic approach to one of the problem classes identified. This study sets the scene for further research into fuzzy-based efficiency indices pertaining to different sewer system components and the ultimate application in sewer system decision support tools.
AbstractList Sewer pump station problems in separate sewer systems (separate from stormwater drainage systems) were investigated in order to derive a conceptual framework for decision making. Notwithstanding the fundamental service that efficient sewage pumping provides to a community, it was apparent that limited research has been published on the topic. Research was undertaken to identify, investigate and classify problems at existing operational sewage pump stations by means of site visits, interviews, and an extensive knowledge review. A conceptual framework for sewer pump problems was subsequently derived. The application of the framework is illustrated by means of a fuzzy logic approach to one of the problem classes identified. This study sets the scene for further research into fuzzy-based efficiency indices pertaining to different sewer system components and the ultimate application in sewer system decision support tools.
Sewer pump station problems in separate sewer systems (separate from stormwater drainage systems) were investigated in order to derive a conceptual framework for decision making. Notwithstanding the fundamental service that efficient sewage pumping provides to a community, it was apparent that limited research has been published on the topic. Research was undertaken to identify, investigate and classify problems at existing operational sewage pump stations by means of site visits, interviews, and an extensive knowledge review. A conceptual framework for sewer pump problems was subsequently derived. The application of the framework is illustrated by means of a fuzzy logic approach to one of the problem classes identified. This study sets the scene for further research into fuzzy-based efficiency indices pertaining to different sewer system components and the ultimate application in sewer system decision support tools. Keywords: sanitary sewers, pump station problems, framework
Audience Academic
Author Tulleken, J.
Bester, A.J.
Jacobs, H.E.
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Snippet Sewer pump station problems in separate sewer systems (separate from stormwater drainage systems) were investigated in order to derive a conceptual framework...
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SubjectTerms Classification
Communities
Decision-making
Drainage systems
Framework
Fuzzy logic
Management
Methods
Pump station problems
Pump stations
Pumping stations
Pumps
Sanitary sewers
Sanitation
Separated sewers
Sewage
Sewer systems
Sewers
Stormwater
Title Conceptual framework for sewer pump problems allowing for fuzzy logic application
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