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Development of a semi-automated model identification and calibration tool for conceptual modelling of sewer systems.
MedLine Citation:
PMID:  23823553     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Applications such as real-time control, uncertainty analysis and optimization require an extensive number of model iterations. Full hydrodynamic sewer models are not sufficient for these applications due to the excessive computation time. Simplifications are consequently required. A lumped conceptual modelling approach results in a much faster calculation. The process of identifying and calibrating the conceptual model structure could, however, be time-consuming. Moreover, many conceptual models lack accuracy, or do not account for backwater effects. To overcome these problems, a modelling methodology was developed which is suited for semi-automatic calibration. The methodology is tested for the sewer system of the city of Geel in the Grote Nete river basin in Belgium, using both synthetic design storm events and long time series of rainfall input. A MATLAB/Simulink(®) tool was developed to guide the modeller through the step-wise model construction, reducing significantly the time required for the conceptual modelling process.
Authors:
Vincent Wolfs; Mauricio Florencio Villazon; Patrick Willems
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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:  68     ISSN:  0273-1223     ISO Abbreviation:  Water Sci. Technol.     Publication Date:  2013 Jul 
Date Detail:
Created Date:  2013-7-4     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9879497     Medline TA:  Water Sci Technol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  167-175     Citation Subset:  -    
Affiliation:
University of Leuven, Hydraulics Section, Kasteelpark Arenberg 40, BE-3001 Leuven, Belgium E-mail: vincent.wolfs@bwk.kuleuven.be.
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