Statistical characterisation and estimation of non-domestic water demand

Estimation of annual average water demand figures is critical for the design and evaluation of water distribution systems. This study evaluated the metered water consumption of more than 67,000 non-domestic consumers in six categories from cities and towns in South Africa. It was found that lognorma...

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Veröffentlicht in:Urban water journal Jg. 14; H. 7; S. 720 - 726
Hauptverfasser: van Zyl, H. J., Ilemobade, A. A., van Zyl, J. E., Le Gat, Y.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis 09.08.2017
Taylor & Francis Ltd
Schlagworte:
Agribusiness
Agricultural land
Annual
Applications
Categories
Consumers
Daily
Demand
design demand
Distribution
Domestic water
Evaluation
Land use
Methods
non-domestic
Parks & recreation areas
Properties
Properties (attributes)
Regression analysis
Statistics
Systems analysis
Towns
Water
Water consumption
Water demand
Water distribution
Water distribution systems
Water engineering
non-domestik
design demand
Demande en eau
Water demand
Consommation en eau
ISSN:1573-062X, 1744-9006
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Zusammenfassung:Estimation of annual average water demand figures is critical for the design and evaluation of water distribution systems. This study evaluated the metered water consumption of more than 67,000 non-domestic consumers in six categories from cities and towns in South Africa. It was found that lognormal distributions provide good descriptions of the annual average daily demand (AADD) distribution in each category. The land use categories Business Commercial, Industrial, Agricultural holdings and Sports & Parks displayed similar median AADDs of between 1.5 and 1.7 kl/property/day. Educational properties used substantially more water (4.7 kl/property/day), while Government & Institutional properties used substantially less water (0.7 kl/property/day). A step-wise regression analyses showed that property size has the greatest impact on water demand for most categories. Finally, a novel statistically based method is proposed for estimating the average AADD of a given number of properties based on an acceptable risk of non-exceedance.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1573-062X
1744-9006
DOI:10.1080/1573062X.2016.1253753