A Novel Statistical Model for Water Age Estimation in Water Distribution Networks
Joint Authors
Cheng, Wei-ping
Liu, En-hua
Liu, Jing-qing
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Cheng, Wei-ping& Liu, En-hua& Liu, Jing-qing. 2015. A Novel Statistical Model for Water Age Estimation in Water Distribution Networks. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073571
Modern Language Association (MLA)
Cheng, Wei-ping…[et al.]. A Novel Statistical Model for Water Age Estimation in Water Distribution Networks. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073571
American Medical Association (AMA)
Cheng, Wei-ping& Liu, En-hua& Liu, Jing-qing. A Novel Statistical Model for Water Age Estimation in Water Distribution Networks. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073571
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073571