Journal cover Journal topic
Drinking Water Engineering and Science An interactive open-access journal
Journal topic

Journal metrics

CiteScore value: 2.2
CiteScore
2.2
SNIP value: 0.828
SNIP0.828
SJR value: 0.391
SJR0.391
Scimago H <br class='widget-line-break'>index value: 16
Scimago H
index
16
Preprints
https://doi.org/10.5194/dwes-2020-37
https://doi.org/10.5194/dwes-2020-37

  05 Feb 2021

05 Feb 2021

Review status: this preprint is currently under review for the journal DWES.

The Evaluation of Reliability Indices in Water Distribution Networks under Pipe Failure Condition

Alireza Moghaddam1, Roya Peirovi-Minaee2, Hossein Rezaei3, Alireza Faridhosseini4,5, and Ali Naghi Ziaei4 Alireza Moghaddam et al.
  • 1PhD in Water Resources Engineering, Department of Civil Engineering, University of Gonabad, Gonabad, Iran
  • 2Assistant Professor, Department of Environmental Health Engineering, Faculty of Public Health, Social Determinants of Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
  • 3Professor, Department of Water Engineering, College of Agriculture, University of Urmia, Urmia, Iran
  • 4Associate Professor, Department of Water Engineering, College of Agriculture, Ferdowsi University of Masshad, Mashhad, Iran
  • 5Visiting Professor, College of Engineering, Mathematics & Physical Sciences, University of Exeter, Exeter, UK

Abstract. In this research, reliability indicators of water distribution networks are evaluated under pipe failure conditions. The case studies include two benchmark and one real-life water distribution networks in Iran with more hydraulic constraints. Some important reliability indicators are presented such as resilience index, network resilience, modified resilience index and minimum surplus head index. GANetXL is used to do one-objective and two-objective optimization of the previously mentioned water distribution networks in order to not only minimize the cost, but also maximize the reliability indicators. Moreover, the results of a statistical analysis for each pipe is used to determine the sensitive pipes that are of the most failure probability. GANetXL is an optimization tool in Excel environment and works based on Genetic Algorithm. GANetXL has the capability of being linked to EPANET (Hydraulic simulation software). The results obtained clearly show that network resilience index is of poor performance when compared with the other indexes under pipe failure conditions, especially in real-life networks that include small pipe diameters. It was also showed that if a water distribution network was optimized only in terms of cost, there would be an unacceptable pressure drop at some nodes in case of pipe failure.

Alireza Moghaddam et al.

Status: open (until 06 Jun 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on dwes-2020-37', Anonymous Referee #1, 18 Mar 2021 reply
  • CC1: 'Comment on dwes-2020-37', André Marques Arsénio, 31 Mar 2021 reply

Alireza Moghaddam et al.

Alireza Moghaddam et al.

Viewed

Total article views: 180 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
122 49 9 180 10 10
  • HTML: 122
  • PDF: 49
  • XML: 9
  • Total: 180
  • BibTeX: 10
  • EndNote: 10
Views and downloads (calculated since 05 Feb 2021)
Cumulative views and downloads (calculated since 05 Feb 2021)

Viewed (geographical distribution)

Total article views: 147 (including HTML, PDF, and XML) Thereof 147 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 May 2021
Publications Copernicus
Download
Citation