Document Detail


A multi-layer cellular automata approach for algorithmic generation of virtual case studies: VIBe.
MedLine Citation:
PMID:  20057089     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Analyses of case studies are used to evaluate new or existing technologies, measures or strategies with regard to their impact on the overall process. However, data availability is limited and hence, new technologies, measures or strategies can only be tested on a limited number of case studies. Owing to the specific boundary conditions and system properties of each single case study, results can hardly be generalized or transferred to other boundary conditions. virtual infrastructure benchmarking (VIBe) is a software tool which algorithmically generates virtual case studies (VCSs) for urban water systems. System descriptions needed for evaluation are extracted from VIBe whose parameters are based on real world case studies and literature. As a result VIBe writes Input files for water simulation software as EPANET and EPA SWMM. With such input files numerous simulations can be performed and the results can be benchmarked and analysed stochastically at a city scale. In this work the approach of VIBe is applied with parameters according to a section of the Inn valley and therewith 1,000 VCSs are generated and evaluated. A comparison of the VCSs with data of real world case studies shows that the real world case studies fit within the parameter ranges of the VCSs. Consequently, VIBe tackles the problem of limited availability of case study data.
Authors:
R Sitzenfrei; S Fach; H Kinzel; W Rauch
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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:  61     ISSN:  0273-1223     ISO Abbreviation:  Water Sci. Technol.     Publication Date:  2010  
Date Detail:
Created Date:  2010-01-08     Completed Date:  2010-04-01     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9879497     Medline TA:  Water Sci Technol     Country:  England    
Other Details:
Languages:  eng     Pagination:  37-45     Citation Subset:  IM    
Affiliation:
Unit of Environmental Engineering, University of Innsbruck, 6020 Innsbruck, Austria. robert.sitzenfrei@uibk.ac.at
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Automation / methods*
Computer Simulation
Cyclonic Storms
Environment
Geography
Rain*
Software
Stochastic Processes
User-Computer Interface*
Water Pollution
Water Supply / standards*
Weather

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


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