Technical Papers
Mar 12, 2021

Temporal Scale Effect Analysis for Water Supply Systems Monitoring Based on a Microcomponent Stochastic Demand Model

Publication: Journal of Water Resources Planning and Management
Volume 147, Issue 5

Abstract

Water demands are the main random factor that conditions flow variability within drinking water supply systems. The importance of using high-resolution demands in distribution mains is already well known, but there is little knowledge of how the temporal scale (i.e., sampling frequency) affects the ability of a metering or monitoring system to explain network performance. The aim of this paper is to analyze the variability (i.e., information) that is lost because of not using a more frequent sampling rate to characterize water demands. For such purpose, a novel analytical approach based on a conceptualization of the microcomponent-based model SIMDEUM, which stands for SIMulation of water Demand, an End-Use Model, is presented. This methodology provides the statistical properties of water demands over different sampling frequencies. It is here applied to the Benthuizen case study (Netherlands) to further explore the effect of temporal and spatial scaling laws under realistic conditions. Results are of major importance for monitoring design because they highlight the need for properly combining measurements with different levels of resolution. Moreover, they enable assessment of the impact of the sampling selection on the potential characterization level of monitored demands within urban water modeling applications.

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Data Availability Statement

Some or all data, models, or code used during the study were provided by a third party (Benthuizen details). Direct requests for these materials may be made to the provider as indicated in the Acknowledgments.

Acknowledgments

The authors want to thank Dr. Mirjam Blokker for providing the Benthuizen case study details. The authors would also like to thank the financial support provided by the Spanish Ministry of Science and Innovation—State Research Agency (PID2019-111506RB-I00/AEI/10.13039/501100011033) and Junta de Comunidades de Castilla–La Mancha [SBPLY/19/180501/000162, cofinanced by Fondo Europeo de Desarrollo Regional (FEDER)].

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 147Issue 5May 2021

History

Received: Jun 29, 2020
Accepted: Oct 18, 2020
Published online: Mar 12, 2021
Published in print: May 1, 2021
Discussion open until: Aug 12, 2021

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Authors

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Assistant Professor, Dept. of Civil Engineering, Univ. of Castilla-La Mancha, Av. Camilo José Cela s/n, Ciudad Real 13071, Spain (corresponding author). ORCID: https://orcid.org/0000-0002-5478-1768. Email: [email protected]
Associate Professor, Dept. of Civil Engineering, Univ. of Castilla-La Mancha, Av. Camilo José Cela s/n, Ciudad Real 13071, Spain; Hidralab Ingeniería Y Desarrollos, S.L., Spin-Off UCLM, Hydraulics Laboratory, Univ. of Castilla-La Mancha, Av. Pedriza, Camino Moledores s/n, Ciudad Real 13071, Spain. ORCID: https://orcid.org/0000-0001-7843-8537. Email: [email protected]

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