Wall Decay Coefficient Estimation in a Real-Life Drinking Water Distribution Network

Roya Peirovi Minaee, Mehdi Mokhtari, Alireza Moghaddam, Ali Asghar Ebrahimi, Mohsen Askarishahi and Mojtaba Afsharnia ()
Additional contact information
Roya Peirovi Minaee: Shahid Sadoughi University of Medical Sciences
Mehdi Mokhtari: Shahid Sadoughi University of Medical Sciences
Alireza Moghaddam: Urmia University
Ali Asghar Ebrahimi: Shahid Sadoughi University of Medical Sciences
Mohsen Askarishahi: Shahid Sadoughi University of Medical Sciences
Mojtaba Afsharnia: Department of Environmental Health Engineering

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2019, vol. 33, issue 4, No 20, 1557-1569

Abstract: Abstract Injection of chlorine as a disinfectant and the correct prediction of the residual amount in water distribution networks are key points and important principles in the quality management of these networks. It is necessary to determine and measure some parameters to develop an effective model in this field. In this study, for the first time, the Simple Hybrid of Genetic Algorithm and Particle Swarm Optimization (SHGAPSO) method along with GA and PSO algorithms are used for qualitative calibration of a real-life water distribution network in Iran to minimize the difference between observed chlorine concentrations at measurement points and the concentrations simulated by the EPANET2.0 hydraulic-qualitative simulation model. The objective functions in this study are Mean Absolute Error (MAE) and Mean Square Error (MSE). The decision variables include bulk (kb) and wall (kw) chlorine decay coefficients are estimated by SHGAPSO, GA, and PSO methods during 4 scenarios. In this study, the amount of residual chlorine in the network was measured by a digital chlorine meter in different days of the year 2018. The results show that SHGAPSO method enhanced the performance of GA and PSO algorithms in the scenarios studied. In scenario 3, this difference was noticeable. Also, scenario 4 with the lowest values of objective functions is selected to estimate the coefficients kw and kb as the best scenario, and finally the qualitative calibration of the network.

Keywords: Calibration; GA; SHGAPSO; PSO; Wall decay coefficient (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11269-019-02206-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:33:y:2019:i:4:d:10.1007_s11269-019-02206-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-019-02206-x

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().