I-WARP: Individual water main renewal planner

Integrating Water Systems - Proceedings of the 10th International on Computing and Control for the Water Industry, CCWI 2009

Volumn , Issue , 2010, Pages 639-643

  Kleiner, Yehuda ^a   Rajani, Balvant ^a  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AMERICAN WATER WORKS ASSOCIATION RESEARCH FOUNDATIONS; MATHEMATICAL APPROACH; NATIONAL RESEARCH COUNCIL OF CANADA; NONHOMOGENEOUS POISSON; PIPE MATERIAL; PRESSURE ZONES; SOIL TYPES; STATIC AND DYNAMIC; STRUCTURAL DETERIORATION; WATER MAINS; WATER RESEARCH; WATER UTILITY;

CATHODIC PROTECTION; WATER SUPPLY; WATERWORKS;

RESEARCH;

EID: 84859916849     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Andreou, S.A., Marks,D. H., and Clark, R. M. (1987). "Anew methodology for modeling break failure patterns in deteriorating water distribution systems: Theory." Advance in Water Resources, 10, 2-10.
2. Ansell, J.I., and M.J. Phillips, (1994). "Practical methods for reliability data analysis" Oxford University Press, Oxford, UK.
3. Boxall, J. B., A. O'Hagen, S. Pooladsaz, A. Saul, and D. Unwin, (2007). Estimation of burst rate in water distribution mains", Proceedings of the Institution of Civil Engineers,Water Management I60, IssueWM2, pp 73-82. June. (Pubitemid 46907017)
4. Constantine, A. G., and Darroch, J. N. (1993). "Pipeline reliability: stochastic models in engineering technology and management." S. Osaki, D.N.P. Murthy, eds., World Scientific Publishing Co.
5. Dridi, L,. Mailhot,A., Parizeau, M., andVilleneuve J.P. (2005) "A strategy for optimal replacement of water pipes integrating structural and hydraulic indicators based on a statisticalwater pipe break model". Proceedings of the 8th International Conference on Computing and Control for theWater Industry, U. of Exeter, UK, September, 65-70.
6. Economou, T., Kapelan, Z. and Bailey, T. (2008), "A Zero- Inflated Bayesian Model for the Prediction of Water Pipe Bursts", Proc. 10th InternationalWater Distribution System Analysis Conference, CD-ROM edition, Kruger National Park, South Africa.
7. Giustolisi, O., Laucelli, D, and Savic D. A., (2005). "A decision support framework fro short time planning of rehabilitation", Proceedings of Computer and Control in Water Industry (CCWI), (1), 39-44.
8. Giustolisi, O. and L. Berardi, (2007). "Pipe level burst prediction using EPR and MCS-EPR". Proceedings of the Combined International Conference of Computing and Control for theWater Industry (CCWI2007) and Sustainable Urban water Management (SUWM2007) on Water Management Challenges in Global Change, Leicester, UK, September, pp. 39-46.
9. Jarrett, R. O. Hussain, and J. Van der Touw (2003). "Reliability assessment of water pipelines using limited data", OzWater, Perth, Australia.
10. Kleiner, Y. and Rajani, B. (2001). "Comprehensive review of structural deterioration of water mains: statistical models". UrbanWater, (3), 131-150. (Pubitemid 33066191)
11. Kleiner,Y. and Rajani, B. (2004). "Quantifying effectiveness of cathodic protection in water mains: theory," Journal of Infrastructure Systems, ASCE, 10(2) 43-51. (Pubitemid 38763514)
12. Lambert, D. (1992). "Zero-Inflated Poisson regression, with an application to defects in manufacturing", Technometrics, Vol. 34, No. 1, pp. 1-14.
13. Le Gat, Y. (2008). "Extending the Yule Process to model recurrent failures of pressure pipes", Private communication.
14. Mailhot, A., A. Paulin, and Villeneuve J-P, (2003). "Optimal replacement of water pipes", Water Resources Research, 39(5), 1136.
15. Nagelkerke, N. (1991). "A Note on a General Definition of the Coefficient of Determination", Biometrika, 78(3), pp. 691-692.
16. Park, S. and G.V. Loganathan (2002). "Optimal pipe replacement analysis with a new pipe break prediction model" Journal of the Korean Society of Water and Wastewater, 16/6, pp. 710-716.
17. Røstum, J. (2000). "Statistical modelling of pipe failures in water networks". PhD thesis, Norwegian University of Science and Technology, Trondheim, Norway.
18. Watson, T.G., C.D. Christian, A. J., Mason, M. H. Smith, and R. Meyer (2004). "Bayesian-based pipe failure model", Journal of Hydroinformatics, IWA publishing, 06.4, pp. 259-264.