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

Civil Engineering

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