Cost Optimization of Hydraulic and Structural Rehabilitation of Urban Drainage Network
Publication: Journal of Infrastructure Systems
Volume 20, Issue 3
Abstract
Urban drainage systems are prone to symptomatic decay that eventually causes surcharged flows and flooding, with important consequences for the aquatic ecosystems of receiving water bodies in addition to the safety of drinking water and recreational water activities. Rapid urban development and climate change combine with wear and tear along with a lack of network maintenance to accelerate this decay and cause a reduction in the hydraulic system’s capacity. In this context, the need for system rehabilitation becomes more pressing. Cost figures prominently take precedence in the decision-making surrounding the choice of rehabilitation method employed, but models for assessing cost-effectiveness which consider both structural and hydraulic options, in addition to real-world constraints and time-frame conditions, are lacking. This paper proposes an algorithm to maximize the benefits ensuing from the rehabilitation of urban drainage systems. Potential interventions considered in the algorithm include both traditional rehabilitation methods such as the resizing and rebuilding of damaged pipes, in addition to best management practices (BMPs) aimed at reducing runoff rate and volume. A case study from the borough of Verdun is presented, in which the algorithm identifies the best combination of volume retention, pipe rehabilitation, and resizing interventions to optimize the network’s hydraulic performance and minimize operational costs.
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References
Ayadi, R. (2010). “Best management practices in the stormwater management.” M. Sc. thesis, École de Technologie Supérieure, Montréal.
Bennis, S. (2007). “Hydraulique et hydrologie.” Écoulement à surface libre, 2nd Ed., Presses de l’Université du Québec, Montréal, 147–215 (in French).
Bennis, S., Bengassem, J., and Lamarre, P. (2003). “Hydraulic performance index of a sewer network.” J. Hydraul. Eng., 504–510.
Breysse, D., Vasconcelos, E., and Schoefs, F. (2007). “Management strategies and improvement of performance of sewer networks.” Comput. Aided Civ. Infrastruct. Eng., 22(7), 462–477.
Dantzig, G. B. (1948). Programming in a linear structure, U.S. Air Force, Washington, DC.
Delleur, J. W. (1994). “Sewerage failure, diagnosis and rehabilitation.” Proc., Urban Drainage Rehabilitation Programs and Techniques, ASCE, Reston, VA, 11–28.
Dion, Y. (2006). “Restructuration hydraulique et environnementale des réseaux d’assainissement.” M. Sc. thesis, École de Technologie Supérieure, Montréal (in French).
Dirksen, J., et al. (2013). “The consistency of visual sewer inspection data.” Struct. Infrastr. Eng., 9(3), 214–228.
Dridi, L., Parizeau, M., Mailhot, A., and Villeneuve, J. (2008). “Using evolutionary optimization techniques for scheduling water pipe renewal considering a short planning horizon.” Comput. Aided Civ. Infrastruct. Eng., 23(8), 625–635.
Geng, X., Gao, J., Wu, W., and Yuan, Y. (2011). “Analysis of water supply capacity under the condition of trenchless rehabilitation technology.” Proc., Int. Conf. on Pipelines and Trenchless Technology, ASCE, Reston, VA, 1274–1284.
Jia, H., Lu, Y., Yu, S., and Chen, Y. (2011). “Planning of LID-BMPs for urban runoff control: The case of Beijing Olympic Village.” Sep. Purif. Technol., 84(1), 112–119.
Le Gauffre, P., Joannis, C., Vasconcelos, E., Breysse, D., Gibello, C., and Desmulliez, J. J. (2007). “Performance indicators and multicriteria decision support for sewer asset management.” J. Infrastruct. Syst., 105–114.
Lee, J. H., Baek, C. W., Kim, J. H., Jun, H. D., and Jo, D. J. (2009). “Development of a decision making support system for efficient rehabilitation of sewer systems.” Water Resour. Manage., 23(9), 1725–1742.
Martin, C., Ruperd, Y., and Legret, M. (2007). “Urban stormwater drainage management: The development of a multicriteria decision aid approach for best management practices.” Eur. J. Oper. Res., 181(1), 338–349.
Matthews, J. C., and Allouche, E. N. (2012). “Fully automated decision support system for assessing the suitability of trenchless technologies.” J. Pipeline Syst. Eng. Pract., 55–64.
Ming-Der, Y., and Tung-Ching, S. (2007). “An optimization model of sewage rehabilitation.” J. Chin. Inst. Eng., 30(4), 651–659.
Nafi, A., and Werey, C. (2009). “Multicriteria decision support for the hierarchisation of sanitation sections through an asset management.” Can. J. Civ. Eng., 36(7), 1207–1220.
Nash, S. G. (2000). “A Survey of truncated-Newton methods.” J. Comput. Appl. Math., 124, 45–59.
Osseyrane, M. (2008). “Évolution des courbes intensité-durée-fréquence (IDF) dans la région de Montréal.” Proc., Conf. on Urban Drainage, Reseau Environnement, Montreal (in French).
Reyna, S. M., Delleur, J. W., and Vanegas, J. A. (1994). “Multi-attribute rehabilitation of storm or combined sewer systems.” Urban drainage rehabilitation programs and techniques, ASCE, Reston, VA, 55–72.
Sebti, A. (2011). “Optimisation de la réhabilitation hydraulique et structurale d’un réseau de drainage urbain.” M. Sc. thesis, École de Technologie Supérieure, Montréal (in French).
Tagherouit, W. B., Bennis, S., and Bengassem, J. (2011). “A fuzzy expert system for prioritizing rehabilitation of sewer networks.” Comput. Aided Civ. Infrastruct. Eng., 26(2), 146–152.
Tran, H. D., Perera, B. J. C., and Ng, A. W. M. (2010). “Markov and neural network models for prediction of structural deterioration of storm-water pipe assets.” J. Infrastruct. Syst., 167–171.
Villarreal, E. L., Semadeni-Davies, A., and Bengtsson, L. (2004). “Inner city stormwater control using a combination of best management practices.” Ecol. Eng., 22(4–5), 279–298.
Wright, L. T., Heany, J. P., and Dent, S. (2006). “Prioritizing sanitary sewers for rehabilitation using least-cost classifiers.” J. Infrastruct. Syst., 174–183.
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Published In
Journal of Infrastructure Systems
Volume 20 • Issue 3 • September 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Mar 23, 2012
Accepted: Jul 17, 2013
Published online: Jul 19, 2013
Discussion open until: Jul 12, 2014
Published in print: Sep 1, 2014
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