Technical Papers
May 21, 2012

Analysis of Wastewater and Water System Renewal Decision-Making Tools and Approaches

Publication: Journal of Pipeline Systems Engineering and Practice
Volume 3, Issue 4

Abstract

In regards to the development of software for decision support for pipeline renewal, most of the attention to date has been paid to the development of asset management models, which help an owner decide on which portions of a system to prioritize for needed actions. There has not been much work in terms of providing guidance on whether to rehabilitate or replace the pipeline asset and choosing the most appropriate methods for that work. These decisions involve the evaluation of many criteria, which must be considered thoroughly to determine the optimal way of rehabilitating or replacing these systems efficiently and cost effectively. As part of the U.S. EPA Aging Water Infrastructure (AWI) Research Program, one key area of research, conducted in collaboration with wastewater and water utilities, was a study of the current approaches available for making rehabilitation versus replacement decisions. The purpose of this study was to (1) identify the current methodologies and decision support systems (DSS) being used for determining how to rehabilitate or replace underground utilities; (2) identify the critical gaps of these current models through comparison with case history data collected from utilities; and (3) assess the feasibility of substantially improving upon existing approaches. This paper provides a detailed review of DSS and methodologies that have been proposed for use around the world over the past 15 years for renewal decision support and summarizes the findings from visits with eight large utilities in the United States to discuss how each makes their rehabilitation versus replacement decision. Recommendations for the next steps needed to improve upon the existing models to make them more directly useful in terms of decision support are also discussed.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This research was funded by the U.S. EPA. Special appreciation is given to the utility representatives Michael Hines, Dallas; James Gross, Columbus, Ohio; John Morgan, Indianapolis; Charles Scott, Las Vegas; Keith Hanks, Los Angeles; Raymond Hutchinson, Atlanta; Dino Ng, New York; and Rod Lovett, Miami-Dade, Florida.

References

Abraham, D., Wirahadikusumah, R., Short, T., and Shahbahrami, S. (1998). “Optimization modeling for sewer network management.” J. Const. Eng. Manage., 124(5), 402–410.
Agbenowosi, N. (2000). “A mechanistic analysis based decision support system for scheduling optimal pipeline replacement.” Ph.D. dissertation, Virginia Tech Univ., Blacksburg, VA.
Allouche, E., Ariaratnam, S., and AbouRizk, S. (2000). “Multi-dimensional utility model for selection of a trenchless construction method.” Construction Congress VI: Building Together for a Better Tomorrow in an Increasingly Complex World, ASCE, Reston, VA, 543–553.
Ammar, M., Moselhi, O., and Zayed, T. (2012). “Decision support model for selection of rehabilitation methods of water mains.” Struct. Infrastruct. Eng., 8(9), 847–855.
Ana, E., and Bauwens, W. (2007). “Sewer network asset management decision support tools: A review.” Symp. on New Directions in Urban Water Management, UNESCO, Paris.
Ariaratnam, S., Lueke, J., and Allouche, E. (1999). “Utilization of trenchless construction methods by Canadian municipalities.” J. Const. Eng. Manage., 125(2), 76–86.
Bairaktaris, D.,et al. (2007). “Decision-support system for the rehabilitation of deteriorating sewers.” J. Perform. Constr. Facil., 21(3), 240–248.
Baptista, J., and Alegre, H. (2001). “Rep. no. 1.1: Preliminary rehab PI system.” 〈http://www.sintef.no/Projectweb/CARE-W〉 (Nov. 1, 2010).
Baur, R., Herz, R., and Kropp, I. (2003). “Procedure for choosing the right sewer rehabilitation technology.”, Technische Universität Dresden, Germany.
Baur, R., Herz, R., and Kropp, I. (2005). “Multi-criteria decision support.”, European Commission, Brussels, Belgium.
Bielecki, B., and Stein, R. (1997). “Multimedia DSS for the selection of techniques for construction, maintenance and rehabilitation of buried pipes.”, ISTT, London.
Burn, L., Tucker, S., Rahilly, M., Davis, P., Jarrett, R., and Po, M. (2003). “Asset planning for water reticulation systems—The PARMS model.” Water Supply, 3(1–2), 55–62.
Deb, A., Hasit, Y., Grablutz, F., and Herz, R. (1998). “Quantifying future rehabilitation and replacement needs of water mains.”, Awwa Research Foundation, Denver.
Deb, A., Hasit, Y., Schoser, H., Snyder, J., Loganathan, G., and Khambhammettu, P. (2002). “Decision support system for distribution system piping renewal.”, Awwa Research Foundation, Denver.
Diab, Y., and Morand, D. (2001). “An approach for the choice of rehabilitation techniques of urban sewers.” Proc., Pipelines 2001: Advances in Pipelines Engineering and Construction, ASCE, Reston, VA.
Duggan, E., and Doherty, D. (1995). “Practical selection of trenchless technology methods for sewerage and drainage system rehabilitation/replacement.”, NASTT, Arlington, VA.
Eisenbeis, P.,et al. (2002). “.” 〈http://www.sintef.no/Projectweb/CARE-W〉 (Nov. 1, 2010).
Fenner, R. (2000). “Approaches to sewer maintenance: A review.” Urban Water, 2(4), 343–356.
Fenner, R., and Sweeting, L. (1999). “A decision support model for the rehabilitation of non-critical sewers.” Water Sci. Technol., 39(9), 193–200.
Garcia, C., Abraham, D., Gokhale, S., and Iseley, T. (2002). “Rehabilitation alternatives for concrete and brick sewers.” Pract. Period. Struct. Des. Constr., 7(4), 164–173.
Hadzilacos, T.,et al. (2000). “UTILNETS: A water mains rehabilitation decision support system.” Comput. Environ. Urban Syst., 24(3), 215–232.
Halfawy, M., Dridi, L., and Baker, S. (2008). “Integrated decision support system for optimal renewal planning of sewer networks.” J. Comput. Civ. Eng., 22(6), 360–372.
Halfawy, M., Newton, L., and Vanier, D. (2005). “Municipal infrastructure asset management systems: State-of-the-art review.”, National Research Council Canada, Ottawa.
Halfawy, M., Newton, L., and Vanier, D. (2006). “Review of commercial municipal infrastructure asset management systems.” ITcon, 11, 211–224.
Hastak, M., and Gokhale, S. (2000). “System for evaluating underground pipeline renewal options.” J. Infrastruct. Syst., 6(3), 105–113.
Herz, R., and Kropp, I. (2002). “Report D10: Developing of the rehab strategy manager software.” 〈http://www.sintef.no/Projectweb/CARE-W〉 (Nov. 1, 2010).
Kleiner, Y., Adams, B., and Rodgers, J. (2001). “Water distribution network renewal planning.” J. Comput. Civ. Eng., 15(1), 15–26.
Kleiner, Y., and Rajani, B. (2010). “I-WARP: Individual water main renewal planner.” Drink. Water Eng. Sci., 3(1), 71–77.
Le Gat, Y., and Eisenbeis, P. (2000). “Using maintenance records to forecast failures in water networks.” Urban Water, 2(3), 173–181.
Le Gauffre, P., Haidar, H., Poinard, D., Laffréchine, K., Baur, R., and Schiatti, M. (2007). “A multicriteria decision support methodology for annual rehabilitation programs of water networks.” Comput. Aid. Civ. Infrastruct. Eng., 22(7), 478–488.
Malandain, J., LeGauffre, P., and Miramond, M. (1999). “Organizing a decision support system for infrastructure maintenance: Application to water supply systems.” J. Decis. Syst., 8(2), 203–222.
Maniar, S. (2010). “Designing a framework to guide renewal engineering decision-making for water and wastewater pipelines.” M.S. thesis, Virginia Tech Univ., Blacksburg, VA.
Matthews, J. (2006). “Trenchless assessment guide for construction and replacement of underground utilities.” M.S. thesis, Louisiana Tech Univ., Ruston, LA.
Matthews, J. (2010). “Integrated, multi-attribute decision support system for the evaluation of underground utility construction methods.” Ph.D. dissertation, Louisiana Tech Univ., Ruston, LA.
Matthews, J., and Allouche, E. (2009). “TTWorld: A web-portal for assessing the suitability of trenchless construction methods for utility projects and associated social cost savings.” Proc., Pipelines 2009: Infrastructure’s Hidden Assets, ASCE, Reston, VA.
Matthews, J., Allouche, E., and Duan, Z. (2007). “Validation of a decision support system for method selection in utility construction.” Proc., Pipelines 2007: Advances and Experiences with Trenchless Pipeline Projects, ASCE, Reston, VA.
McKim, R. (1997). “Selection method for trenchless technologies.” J. Infrastruct. Syst., 3(3), 119–125.
Moglia, M., Burn, S., and Meddings, S. (2006). “Decision support system for water pipeline renewal prioritization.” ITcon, 11, 237–256.
Nafi, A., and Kleiner, Y. (2010). “Scheduling renewal of water pipes while considering adjacency of infrastructure works and economies of scale.” J. Water Resour. Plann. Manage., 136(5), 519–530.
Najafi, M. (2004). Trenchless technology: Pipeline and utility design, construction and renewal, McGraw-Hill, New York.
National Research Council Canada (NRCC). (2007). InfraGuide, NRCC, Ottawa.
Ortega, R., and Metcalf, J. (2010). “Establishing an evaluation matrix for water main rehab.” Proc., Pipelines 2010: Climbing New Peaks to Infrastructure Reliability: Renew, Rehab, and Reinvest, ASCE, Reston, VA.
Plenker, T. (2002). “Computer aided decision support on choosing the right technology for sewer rehabilitation.” Water Sci. Technol., 46(6), 403–410.
Rostum, J., Saegrov, S., Vatn, J., and Hanson, G. (2000). “Aquarel-A computer program for water network reliability analysis combining hydraulic, reliability and failure time models.” Water Network Modeling for Optimal Design and Management, Woodbury Park, UK.
Saegrov, S., ed. (2005). “CARE-W: Computer aided rehabilitation for water networks.” IWA Publishing, London.
Schroeder, J., Moeller, R., and Fallara, C. (2008). “Automated decision tools to develop sewer recommendations from a PACP database.”, NASTT, Arlington, VA.
Selvakumar, A., Clark, R., and Sivaganesan, M. (2002). “Cost of water supply distribution system rehabilitation.” J. Water Resour. Plann. Manage., 128(4), 303–306.
Shehab-Eldeen, T., and Moselhi, O. (2001). “A decision support system for rehabilitation of sewer pipes.” Can. J. Civ. Eng., 28(3), 394–401.
Strassert, G. (2000). “The balancing principle, strict superiority relations, and a transitive overall final order of options.”, Institute for Regional Science, Univ. of Karlsruhe, Germany.
U.S. Environmental Protection Agency (EPA). (1999). “Collection systems O&M fact sheet: Trenchless sewer rehabilitation.”, Washington, DC.
U.S. Environmental Protection Agency (EPA). (2001). “Decision-support tools for predicting the performance of water distribution and wastewater collection systems.”, Washington, DC.
U.S. Environmental Protection Agency. (EPA). (2007). “Innovation and research for water infrastructure for the 21st century.”, Washington, DC.
U.S. Environmental Protection Agency (EPA). (2009). “Rehabilitation of wastewater collection and water distribution systems—State of technology review report.”, Washington, DC. 〈http://www.epa.gov/nrmrl/pubs/600r09048/600r09048.pdf〉 (Nov. 1, 2010).
Vanrenterghem-Raven, A. (2008). “CARE-W capabilities updates and applications at U.S. utilities.” EPA Rehabilitation for Wastewater Collection and Water Distribution Systems Forum, USEPA, Washington, DC.
Water Environment Federation (WEF). (2009). “Existing sewer evaluation and rehabilitation manual of practice.” 3rd Ed., WEF Press, Alexandria, VA.
Water Research Centre (WRC). (2010). “Sewer risk management website.” 〈http://srm.wrcplc.co.uk〉 (Jul. 1, 2010).
Zhao, J., and Rajani, B. (2002). Construction and rehabilitation costs for buried pipe with a focus on trenchless technologies, National Research Council Canada, Ottawa.

Information & Authors

Information

Published In

Go to Journal of Pipeline Systems Engineering and Practice
Journal of Pipeline Systems Engineering and Practice
Volume 3Issue 4November 2012
Pages: 99 - 105

History

Received: Jan 26, 2011
Accepted: May 16, 2012
Published online: May 21, 2012
Published in print: Nov 1, 2012

Permissions

Request permissions for this article.

Authors

Affiliations

John C. Matthews, Ph.D. [email protected]
A.M.ASCE
Principal Research Scientist, Battelle, 18404 Jefferson Highway, Baton Rouge, LA 70817 (corresponding author). E-mail: [email protected]
Ariamalar Selvakumar, Ph.D. [email protected]
P.E.
Environmental Engineer, National Risk Management Research Laboratory, U.S. Environmental Protection Agency, Edison, NJ 08837. E-mail: [email protected]
Raymond Sterling, Ph.D. [email protected]
P.E.
F.ASCE
Professor Emeritus, Louisiana Tech Univ., P.O. Box 10348, Ruston, LA 71272. E-mail: [email protected]
Wendy Condit [email protected]
P.E.
Senior Research Scientist, Battelle, 505 King Ave., Columbus, OH 43201. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share