Influence of Hydraulic Model Complexity on Results of Water Age and Quality Simulation in Municipal Water Supply Systems

Artur Zajkowski (), Wojciech Kruszyński (), Izabela Bartkowska, Łukasz Wysocki and Anna Krysztopik
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Artur Zajkowski: Department of Water Supply and Sewerage, Bialystok University of Technology, 15-351 Bialystok, Poland
Wojciech Kruszyński: Department of Water Supply and Sewerage, Bialystok University of Technology, 15-351 Bialystok, Poland
Izabela Bartkowska: Department of Water Supply and Sewerage, Bialystok University of Technology, 15-351 Bialystok, Poland
Łukasz Wysocki: Water Energy Systems (WES), 15-256 Bialystok, Poland
Anna Krysztopik: Podlaskie Voivodeship Marshal’s Office, 15-888 Białystok, Poland

Sustainability, 2022, vol. 14, issue 21, 1-16

Abstract: The age of water in the municipal water supply system is one of the main factors influencing water quality. To create a good quality hydraulic model, one must achieve a high level of calibration accuracy with real life measurement data. Before we start building our model, we must decide on the model’s level of detail, that is, its complexity. We must know if skeletonization of the network graph and different hydraulic timesteps have an influence on simulation results. This study strives to prove that this decision can lead to unforeseen problems during the calibration process, thus making it impossible to achieve the required calibration precision. In order to prove this, two different model variants were created with different levels of graph detail, and simulation data results were used to determine which model variant is best suited to achieve the highest fidelity simulation results. Following this, the chosen model was run with different hydraulic timestep settings, which made it possible to showcase the large influence this setting has on achieved results.

Keywords: hydraulic modeling; GIS; water age; graph complexity; water age; water quality; simulation timestep; result accuracy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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