Generating zonal hourly water consumption patterns in water distribution networks using end-use data

ABSTRACT

patterns is a requisite for the design and operation of water distribution networks. This study uses end-use water consumption data to create zonal water consumption patterns. The process involves extrapolating end-use data to create flow variation in the water distribution network. In this study, the water consumption patterns of 30 household consumers as the end-use data were monitored for a period of one year. To validate the results of the presented methodology, zonal water consumption patterns of nine district-metered areas were also measured. The Normal and the Gumbel probability distributions were applied to individual water consumption patterns to generate comprehensive zonal water consumption patterns for different population sizes. The results indicate that the maximum Gumbel’s probabilistic distribution function with considering the leakage effect created better results. This innovative approach holds the potential to create comprehensive zonal water consumption patterns tailor-made for different population sizes.

KEYWORDS:

• Water distribution networks
• water consumption pattern
• peak hour factor
• normal probability distributions
• Gumbel probability distributions

Disclosure statement

No potential conflict of interest was reported by the author(s).