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Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 11, 2015 - Issue 3
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Articles

Benefits of using basic, imprecise or uncertain data for elaborating sewer inspection programmes

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Pages 376-388 | Received 05 Aug 2013, Accepted 05 Dec 2013, Published online: 26 Mar 2014

References

  • Agresti, A. (2002). Categorical data analysis (2nd ed.). Hoboken, NJ: Wiley.
  • Ahmadi, M., Cherqui, F., De Massiac, J.-C., & Le Gauffre, P. (2013). Influence of available data on sewer inspection program efficiency. Urban Water Journal. 10.1080/1573062X.2013.831910.
  • Ahmadi, M., Cherqui, F., De Massiac, J.-C., Werey, C., Lagoutte, S., & Le Gauffre, P. (2014). Condition grading for dysfunction indicators in sewer asset management. Structure and Infrastructure Engineering, 10, 346–358.
  • Allbee, S. (2005). America's pathway to sustainable water and wastewater systems. Water Asset Management International, 1, 9–14.
  • American Society of Civil Engineers. (2013). Report card for America's infrastructure. Retrieved from http://www.infrastructurereportcard.org/.
  • Berardi, L., Giustolisi, O., Savic, D.A., & Kapelan, Z. (2009). An effective multi-objective approach to prioritisation of sewer pipe inspection. Water Science and Technology, 60, 841–850.
  • Breysse, D., Vasconcelos, E., & Schoefs, F. (2007). Management strategies and improvement of performances of sewer networks. Computer Aided Civil and Infrastructure Engineering, 22, 462–477.
  • Davies, J.P., Clarke, B.A., Whiter, J.T., & Cunningham, R.J. (2001a). Factors influencing the structural deterioration and collapse of rigid sewer pipes. Urban Water Journal, 3, 73–89.
  • Davies, J.P., Clarke, B.A., Whiter, J.T., Cunningham, R.J., & Leidi, A. (2001b). The structural condition of rigid sewer pipes: A statistical investigation. Urban Water Journal, 3, 277–286.
  • Dirksen, J., Clemens, F.H.L.R., Korving, H., Cherqui, F., Le Gauffre, P., Ertl, T., Plihal, H., Müller, K., & Snaterse, C.T.M. (2013). The consistency of visual sewer inspection data. Structure and Infrastructure Engineering, 9, 214–228.
  • Egger, C., Scheidegger, A., Reichert, P., & Maurer, M. (2013). Sewer deterioration modeling with condition data lacking historical records. Water Research, 47, 6762–6779.
  • Environmental Protection Agency. (2010). State of technology for rehabilitation of wastewater collection systems. EPA/600/R-10/078, July 2010.Washington, DC: United States Environmental Protection Agency, Office of Research and Development.
  • European Committee for Standardization.. EN 13508-2: Condition of drain and sewer systems outside buildings. Part 2: Visual inspection coding system. European Norms (2003)
  • Gemora, I. (2003). PACP: Pipeline assessment and certification program. Proceedings of the ASCE international conference on pipeline engineering and construction, Baltimore, Maryland, 13–16 July, 822–825.
  • Hahn, M.A., Palmer, R.N., Merrill, M.S., & Lukas, A.B. (2002). Expert system for prioritizing the inspection of sewers: Knowledge base formulation and evaluation. Journal of Water Resources Planning and Management, 128, 121–129.
  • Halfawy, M.R., Dridi, L., & Baker, S. (2008). Integrated decision support system for optimal renewal planning of sewer networks. Journal of Computing in Civil Engineering, 22, 360–372.
  • Le Gauffre, P., Joannis, C., Vasconcelos, E., Breysse, D., Gibello, C., & Desmulliez, J.J. (2007). Performance indicators and multicriteria decision support for sewer asset management. ASCE Journal of Infrastructure Systems, 13, 105–114.
  • McDonald, S., & Zhao, J. (2001). Condition assessment and rehabilitation of large sewers. In International conference on underground infrastructure research. University of Waterloo, Waterloo, Ontario, June 10–13, 2001, pp. 361–369.
  • Morcous, G., Rivard, H., & Hanna, M.A. (2002). Case-Based reasoning system for modeling infrastructure deterioration. ASCE Journal of Computing in Civil Engineering, 16, 104–114.
  • National Association of Sewer Service Companies. (2001). Pipeline assessment and certification program reference manual. San Diego, CA: Author.
  • Rahman, S., & Vanier, D.J. (2004). MIIP client report: An evaluation of condition assessment protocols for sewer management. Ottawa: National Research Council of Canada.
  • Salman, B. (2010). Infrastructure management and deterioration risk assessment of wastewater collection systems. (PhD thesis, University of Cincinnati, OH)..
  • Salman, B., & Salem, O. (2012). Modeling failure of wastewater collection lines using various section-level regression models. ASCE Journal of Infrastructure Systems, 18, 146–154.
  • Scheidegger, A., Hug, T., Reickermann, J., & Maurer, M. (2011). Network condition simulator for benchmarking sewer deterioration models. Water Research, 45, 4983–4994.
  • Wirahadikusumah, R., Abraham, D.M., Iseley, T., & Prasanth, R.K. (1998). Assessment technologies for sewer system rehabilitation. Automation in Construction, 7, 259–270.

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