Skip to main content
SpringerLink
Log in

A Prioritization Model for Rehabilitation of Water Distribution Networks Using GIS

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

Decision-making for the rehabilitation of water distribution networks in the traditional procedure is based on some simple indices such as the number of incidents while several mechanical, hydraulic and qualitative factors are involved in this process. Evidently, making decision on the rehabilitation of water networks seems to be very difficult as the number of factors increases and they interact with each other. The main objective of this research is to prepare, implement and evaluate a conceptual model to prioritize the rehabilitation of pipes based on different scenarios with respect to the combination effects of basic factors in physical, hydraulic and experimental categories. In order to organize the wide range of data to be used in decision-making models, including the plans aimed for pipe replacement, it is necessary to use geographical information systems (GIS). By determining and introducing the factors involved in the rehabilitation of water networks, this research aims to provide an integrated model consisting of conceptual, GIS, hydraulic analysis and the breakage models to prioritize the rehabilitation schemes. By using the data provided from a real network, the advantages of the proposed methodology are evaluated. Based on the obtained results, age factor, among all the other physical parameters, and pressure, among the hydraulic factors, have the greatest influence in outlining the final rehabilitation scenario. The importance of the pipe length has decreased considerably as well. Furthermore, it can be concluded that rehabilitation management of pipe networks can be optimized by using this methodology.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Aghaei A (2006) Investigation of burst prediction approach for water distribution systems by evolutionary computing. MSc. Thesis, Civil Engineering Department, Faculty of Engineering, University of Ferdowsi, Mashhad, Iran

  • Agrawal ML, Gupta R, Bhave PR (2007) Rehabilitation- based Strengthening and expansion of water distribution networks. J Water Resour Plann Manag 133(6):531–541

    Article  Google Scholar 

  • Ahn JC, Lee SW, Lee GS, Koo JY (2005) Predicting water pipe breaks using neural network. Water Supply 5(3–4):159–172

    Google Scholar 

  • Alvisi S, Franchini M (2009) Multi-objective optimization of rehabilitation and leakage detection scheduling in water distribution systems. J Water Resour Plann Manag 135(6):426–439

    Article  Google Scholar 

  • Asnaashari A (2007) Water pipeline failure modeling: statistical, artificial neural network and survival modeling. PhD Thesis, University of Science and Technology of Lille

  • Berardi L, Kapelan Z, Giustolisi O, Savic DA (2008) Development of pipe deterioration models for water distribution systems using EPR. J Hydroinformatics 10(2):113–126

    Article  Google Scholar 

  • Christodoulou SE (2011) Water network assessment and reliability analysis by use of survival analysis. Water Resour Manag 25(4):1229–1238

    Article  Google Scholar 

  • Cullinane MJ, Lansey KE, Mays LW (1992) Optimization availability based design of water distribution networks. ASCE J Hydraulic Eng 118(3):420–441

    Article  Google Scholar 

  • Dridi L, Mailhot A, Parizeau M, Villeneuve JP (2009) Multi-objective approach for pipe replacement based on bayesian inference of break model parameters. J Water Resour Plann Manag 135(5):344–354

    Article  Google Scholar 

  • Giustolisi O, Laucelli D, Savic DA (2006) Development of rehabilitation plans for water mains replacement considering risk and cost-benefit assessment. Civil Eng Envi Syst 23(3):175–190

    Article  Google Scholar 

  • Giustolosi O, Savic DA (2004) A novel genetic programming strategy: evolutionary Polynomial Regression, 6th International Conference on Hydroinformatics, Liong, Phoon and Babovic (eds.), Singapore, Vol. 1, 787–794

  • Hadzilacos T, Kalles D, Preston N, Melbourne P, Camarinopoulos L, Eimermacher M, Kallidromitis V, Frondistou S, Saegrov S (2000) UtilNets: a water mains rehabilitation decision support system. J Comput, Envi Urban Syst 24:215–232

    Article  Google Scholar 

  • Haestad Methods, Inc. (2004) Advanced water distribution modeling and management. First Editing, Water Bury, USA

  • Iran National Water and Wastewater Company (INWWC) (2006) GIS report for city of Tehran. R&D Section, Tehran Water and Wastewater Co

  • Jun C, Koo J, Koh J (2003) Developing a water pipe management system in Seoul using the GIS http://water.seoul.go.kr

  • Kuo C-L, Hsu N-S (2011) An optimization model for crucial key pipes and mechanical reliability: a case study on a water distribution system in Taiwan. Water Resour Manag 25(2):763–775

    Article  Google Scholar 

  • Martínez-Rodríguez JB, Montalvo I, Izquierdo J, Pérez-García R (2011) Reliability and tolerance comparison in water supply networks. Water Resour Manag 25(5):1359–1386

    Article  Google Scholar 

  • Mays LW (1989) Reliability analysis of water distribution systems. ASCE, New York, N.Y

    Google Scholar 

  • Moreno LM (2003) Assessment of water loss and pipe failures in water distribution systems using GIS technology, MSc. Thesis, University of Texas

  • Park S, Jun H, Agbenowosi N, Kim BJ, Lim K (2011) The proportional hazards modeling of water main failure data incorporating the time-dependent effects of covariates. Water Resour Manag 25(1):1–19

    Article  Google Scholar 

  • Saber H (2008) GIS-based model for evaluating the effects of important variables on existing and underdevelopment water supply and distribution systems, MSc. Thesis, School of Civil Engineering, University of Tehran

  • Siew C, Tanyimboh TT (2010) Practical application of the head dependent gradient method for water distribution networks. Proceedings of the IWA World Congress and Exhibition, Montreal, Canada

  • Tabesh M, Abedini AA (2005) Analysis of pipe failure in water distribution networks. J Iran-Water Resour Res 1(1):78–89

    Google Scholar 

  • Tabesh M, Doulatkhahi A (2006) Effects of pressure dependent analysis on quality performance assessment of water distribution networks. Iranian J Sci Tech Trans B: Techn 30(B1):119–128

    Google Scholar 

  • Tabesh M, Zia A (2003) Dynamic management of water distribution networks based on hydraulic performance analysis of the system. J Water Sci Tech Water Supply 3(1–2):95–102

    Google Scholar 

  • Tabesh M, Tanyimboh TT, Burrows R (2002) Head driven simulation of water supply networks. Int J Eng Trans A Basics 15(1):11–22

    Google Scholar 

  • Tabesh M, Bostanian MB, Delavar MR (2004) Application of integrated GIS and hydraulic models for unaccounted for water studies in water distribution systems. I J Eng Sci Tech 15(2):133–145

    Google Scholar 

  • Tabesh M, Soltani J, Farmani R, Savic D (2009) Assessing pipe failure rate and mechanical reliability of water distribution networks using data driven modelling. J Hydroinformatics 11(1):1–17

    Article  Google Scholar 

  • Tabesh M, Delavar MR, Delkhah A (2010) Use of geospatial information system for renovation and replacement of water distribution systems. Int J Envi Eng Tech (IJEST) 7(1):47–58

    Google Scholar 

  • Tanyimboh TT, Tabesh M, Burrows R (2001) An appraisal of the source head method for calculating the reliability of water distribution networks. J Water Resour Plann Manag ASCE 127(4):206–213

    Article  Google Scholar 

  • Tanyimboh TT, Kalungi P et al (2007) Multi-criteria assessment of optional upgrading options for water networks. In: Ulanicki I (ed) Water Management Challenges in Global Chance. Taylor & Francis Group, London, pp 3–11, ISBN 978-0-415-45415-5

    Google Scholar 

  • Wagner JM, Shamir U, Markes DH (1988) Water distribution reliability: simulation methods. J Water Resour Plann Manag ASCE 114(3):276–294

    Article  Google Scholar 

  • Watson TG, Christian CD, Mason AJ, Smith MH, Meyer R (2004) Bayesian-based pipe failure model. J Hydroinformatics 6(4):259–264

    Google Scholar 

Download references

Acknowledgments

The authors would like to acknowledge the financial support of University of Tehran for this research under grant number 8102050/1/03.

Author information

Authors and Affiliations

  1. Centre of Excellence for Engineering and Management of Infrastructures, School of Civil Engineering, College of Engineering, University of Tehran, P.O.Box 11155–4563, Tehran, Iran

    M. Tabesh

  2. School of Civil Engineering, College of Engineering, University of Tehran, P.O.Box 11155–4563, Tehran, Iran

    H. Saber

Authors
  1. M. Tabesh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. H. Saber
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Tabesh.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tabesh, M., Saber, H. A Prioritization Model for Rehabilitation of Water Distribution Networks Using GIS. Water Resour Manage 26, 225–241 (2012). https://doi.org/10.1007/s11269-011-9914-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-011-9914-y

Keywords

Search

Navigation