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A Heuristic Method for Measurement Site Selection in Sewer Systems
- Source :
- Water; Volume 10; Issue 2; Pages: 122, Water, 10(2), Water, Vol 10, Iss 2, p 122 (2018)
- Publication Year :
- 2018
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2018.
-
Abstract
- Although calibration of a hydrodynamic model depends on the availability of measurement data representing the system behavior, advice for the planning of necessary measurement campaigns for model calibration is scarce. This work tries to address this question of efficient measurement site selection on a network scale for the objective of calibrating a hydrodynamic model case study in Austria. For this, a model-based approach is chosen, as the method should be able to be used before measurement data is available. An existing model is assumed to represent the real system behavior. Based on this extended availability of “measurement data” in every point of the system, different approaches are established to heuristically assess the suitability of one or more pipes in combination as calibration point(s). These approaches intend to find suitable answers to the question of measurement site selection for this specific case study within a relatively short time and with a reasonable computational effort. As a result, the relevance of the spatial distribution of calibration points is highlighted. Furthermore, particular efficient calibration points are identified and further measurement sites in the underlying network are recommended.
- Subjects :
- lcsh:Hydraulic engineering
Scale (ratio)
Computer science
0208 environmental biotechnology
Geography, Planning and Development
02 engineering and technology
Aquatic Science
computer.software_genre
automatic calibration
hydrodynamic modeling
sensitivity analysis
Storm Water Management Model (SWMM)
uncertainties
sensor placement
Biochemistry
Automatic calibration
lcsh:Water supply for domestic and industrial purposes
lcsh:TC1-978
Calibration
Point (geometry)
Relevance (information retrieval)
Selection (genetic algorithm)
Water Science and Technology
lcsh:TD201-500
Heuristic
Sensor placement
Uncertainties
Measurement site
020801 environmental engineering
Hydrodynamic modeling
Data mining
Sensitivity analysis
Advice (complexity)
computer
Subjects
Details
- Language :
- English
- ISSN :
- 20734441
- Database :
- OpenAIRE
- Journal :
- Water; Volume 10; Issue 2; Pages: 122
- Accession number :
- edsair.doi.dedup.....dcf12073a105df8626472376ca784e88
- Full Text :
- https://doi.org/10.3390/w10020122