A Novel Statistical Model for Water Age Estimation in Water Distribution Networks

Wei-ping Cheng, En-hua Liu and Jing-qing Liu

Mathematical Problems in Engineering, 2015, vol. 2015, 1-9

Abstract:

The water retention time in the water distribution network is an important indicator for water quality. The water age fluctuates with the system demand. The residual chlorine concentration varies with the water age. In general, the concentration of residual chlorine is linearly dependent on the water demand. A novel statistical model using monitoring data of residual chlorine to estimate the nodal water age in water distribution networks is put forward in the present paper. A simplified two-step procedure is proposed to solve this statistical model. It is verified by two virtual systems and a practical application to analyze the water distribution system of Hangzhou city, China. The results agree well with that from EPANET. The model provides a low-cost and reliable solution to evaluate the water retention time.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:350328

DOI: 10.1155/2015/350328

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