2018
DOI: 10.3390/w10020122
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A Heuristic Method for Measurement Site Selection in Sewer Systems

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 availabl… Show more

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Cited by 9 publications
(12 citation statements)
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“…The basis for the used methodology is an existing hydrodynamic model of the case study's urban drainage network (Kleidorfer et al 2014;Muschalla et al 2015;Tscheikner-Gratl et al 2016a;Tscheikner-Gratl et al 2016b;Vonach et al 2018). The performance of different scenarios was assessed using the Storm Water Management Model (SWMM 5.1.012) software tool (Burger et al 2014;Gironás et al 2010), which is widely used (e.g.…”
Section: Methodsmentioning
confidence: 99%
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“…The basis for the used methodology is an existing hydrodynamic model of the case study's urban drainage network (Kleidorfer et al 2014;Muschalla et al 2015;Tscheikner-Gratl et al 2016a;Tscheikner-Gratl et al 2016b;Vonach et al 2018). The performance of different scenarios was assessed using the Storm Water Management Model (SWMM 5.1.012) software tool (Burger et al 2014;Gironás et al 2010), which is widely used (e.g.…”
Section: Methodsmentioning
confidence: 99%
“…Calibration scenarios I, II and III representing a different number and location of measurement sites were established by considering weak points in the uncalibrated model (pipes where the agreement of simulated water level courses between the uncalibrated model and the model of the reference scenario is low) and considering the operator's empirical knowledge. Basic considerations regarding this heuristic scenario development approach can be found in Vonach et al (2018). Figure 3 exemplifies abstractions, which were made during the procedure.…”
Section: Calibration Proceduresmentioning
confidence: 99%
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“…The identification of such bifurcations is based on an algorithm originating in graph theory to allow for efficient calculation. Such algorithms analyze the network structure rather than actual simulation results, as, e.g., done by [37]. For an introduction of graph theory applied to sewer systems, see e.g., [38], who use graph theory for the identification of critical network elements with respect to system malfunctioning.…”
Section: Overflow Locationsmentioning
confidence: 99%