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The Use of Cluster Analysis to Evaluate the Impact of COVID-19 Pandemic on Daily Water Demand Patterns
Abstract
Proper determination of unitary water demand and diurnal distribution of water consumption (water consumption histogram) provides the basis for designing, dimensioning, and all analyses of water supply networks. It is important in the case of mathematical modelling of flows in the water supply network, particularly during the determination of nodal water demands in the context of Extended Period Simulation (EPS). Considering the above, the analysis of hourly water consumption in selected apartment buildings was performed to verify the justification of the application of grouping by means of k-means clustering. The article presents a detailed description of the adopted methodology, as well as the obtained results in the form of synthetic distributions of hourly water consumption, and the effect of the COVID-19 pandemic on their change.
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Authors (6)
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Paulina Dzimińska mgr inż.
- Miejskie Wodociągi i Kanalizacja w Bydgoszczy Sp. z o.o.
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Stanisław Drzewiecki
- Miejskie Wodociągi i Kanalizacja w Bydgoszczy Sp. z o.o.
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Marek Ruman
- Uniwersytet Śląski w Katowicach
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Karol Mikołajewski mgr
- Uniwersytet Śląski w Katowicach
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Paweł Licznar prof. dr hab. inż.
- Politechnika Wrocławska
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Sustainability
no. 13,
ISSN: - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Dzimińska P., Drzewiecki S., Ruman M., Kosek K., Mikołajewski K., Licznar P.: The Use of Cluster Analysis to Evaluate the Impact of COVID-19 Pandemic on Daily Water Demand Patterns// Sustainability -,iss. 13 (2021), s.5772-5793
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/su13115772
- Verified by:
- Gdańsk University of Technology
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