Document Detail


Computer aided decision support on choosing the right technology for sewer rehabilitation.
MedLine Citation:
PMID:  12381018     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The decision, whether and how to rehabilitate a damaged sewer is a complex one. Detailed information available from sewer inspection can be used for evaluating its condition and determining the urgency of rehabilitation. There are various rehabilitation techniques, from conventional open trenching to newer trenchless construction. Municipal waste water departments and companies must use their tight budgets in the most efficient and responsible way. Therefore, a decision support system for choosing the right/best sewer rehab technology is urgently needed. For a computer aided selection of the right technology for sewer rehabilitation a formalised weighing and ranking procedure should be used. That procedure should be based on a detailed description of the rehabilitation task. So the state of the existing sewer has to be identified, future technical requirements have to be formulated and specific local restraints taken into account. First, rehab technologies not capable of solving the problem under given constraints, are eliminated by "knock-out" criteria. Thus the number of potential solutions is reduced to those which are subsequently compared (computer aided) in pairs. There is no scoring hocus-pocus and criteria weighing in this decision system. The result is found just by comparing pairs of options on as many criteria as needed, and these criteria may be measured on different scales and need not be independent from each other.
Authors:
T Plenker
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Water science and technology : a journal of the International Association on Water Pollution Research     Volume:  46     ISSN:  0273-1223     ISO Abbreviation:  Water Sci. Technol.     Publication Date:  2002  
Date Detail:
Created Date:  2002-10-16     Completed Date:  2003-02-11     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9879497     Medline TA:  Water Sci Technol     Country:  England    
Other Details:
Languages:  eng     Pagination:  403-10     Citation Subset:  IM    
Affiliation:
Technische Universität Dresden, Fakultät Bauingenieurwesen, Lehrstuhl Stadtbauwesen, Dresden, Germany.
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MeSH Terms
Descriptor/Qualifier:
Cities
Cost-Benefit Analysis
Decision Making, Computer-Assisted*
Equipment Failure
Quality Control
Technology / trends*
Waste Disposal, Fluid / economics,  methods*,  standards
Water Movements
Water Supply

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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