Water Consumption Variability Based on Cumulative Data From Non-simultaneous and Long-term Measurements

Jacek Wawrzosek, Syzmon Ignaciuk, Justyna Stańczyk () and Joanna Kajewska-Szkudlarek
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Jacek Wawrzosek: University of Life Sciences in Lublin
Syzmon Ignaciuk: University of Life Sciences in Lublin
Justyna Stańczyk: Wroclaw University of Environmental and Life Sciences
Joanna Kajewska-Szkudlarek: Wroclaw University of Environmental and Life Sciences

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2021, vol. 35, issue 9, No 6, 2799-2812

Abstract: Abstract Devices for water consumption measurement provide data from periodical readings in a non-simultaneous and cumulative manner. This may result in inaccuracies within the process of inference about the short-term habitual patterns of water supply network users. Maintaining systems at the interface between periodic and continuous processes requires the continuous improvement of research methodology. To obtain reliable results regarding the variability of water consumption, the first step should be to estimate it for each observation day by periodic averaging and a possible water balancing approach, but the analysis of the value of estimators obtained in this way usually does not allow for studying autocorrelation. However, other methods indicate the existence of multiplicative parameters characterizing short- and long-term variations in water demand. The purpose of this study is to create a new and deterministic method for tackling the problem associated with a lack of short-term detailed data with fuzzy time series using a multiplicative model for water consumption. Satisfactory results have been obtained, demonstrating that the dispersed data, received in a cumulative manner for random periods of measurement, can be analyzed by the methodology of proposed statistical inference. The observed variability in water consumption may be used in the planning and modernization of water supply systems, development of water demand patterns, hydraulic models, and in the creation of forecasting models of water consumption.

Keywords: Accumulated data; Process control; Water consumption; Variability; Water supply system; Time series (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11269-021-02868-6

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