A comparison of five variants of a procedure for spatial aggregation of synthetic water demand time series is presented. This procedure allows for the spatial aggregation of hourly synthetic water demand time series preserving mean and variance at user level in such a way that the statistics of the spatially aggregated time series are reproduced (mean, variance, lag-1 temporal correlation, lag-1 temporal covariance). Five different ways of application of the methodology are considered and compared. Application to a case study consisting of the water demands of 21 users highlights that the variants considered show different levels of effectiveness in reproducing the statistics of interest and different computational burden, but overall represent a valid tool for the bottom-up generation of synthetic water demand time series.
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August 2015
This article was originally published in
Journal of Water Supply: Research and Technology-Aqua
Article Contents
Research Article|
February 19 2015
Five variants of a procedure for spatial aggregation of synthetic water demand time series
Stefano Alvisi;
1Department of Engineering, University of Ferrara, Via Saragat 1, 44122 Ferrara, Italy
E-mail: [email protected]
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Nicola Ansaloni;
Nicola Ansaloni
1Department of Engineering, University of Ferrara, Via Saragat 1, 44122 Ferrara, Italy
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Marco Franchini
Marco Franchini
1Department of Engineering, University of Ferrara, Via Saragat 1, 44122 Ferrara, Italy
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Journal of Water Supply: Research and Technology-Aqua (2015) 64 (5): 629–639.
Article history
Received:
March 19 2014
Accepted:
January 15 2015
Citation
Stefano Alvisi, Nicola Ansaloni, Marco Franchini; Five variants of a procedure for spatial aggregation of synthetic water demand time series. Journal of Water Supply: Research and Technology-Aqua 1 August 2015; 64 (5): 629–639. doi: https://doi.org/10.2166/aqua.2015.041
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