Journal of Korean Society of Water and Wastewater (상하수도학회지)

The Korean Society of Water and Wastewater (대한상하수도학회)
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Application of AHP-PROMETHEE to determine areal and linear priorities for sewer rehabilitation projects

하수관로의 면단위 및 선단위 정비 우선순위 결정을 위한 AHP-PROMETHEE기법의 적용

  • Ahn, Hosung (Saman Inc.) ;
  • Yoo, Soonyu (Department of Consilience, Korea Polytechnic University) ;
  • Lee, Taehoon (Department of Civil and Environmental Engineering, Dankook University) ;
  • Park, Kyoohong (School of Civil and Environmental Engineering, Chung-Ang University)
  • 안호성 ((주)삼안) ;
  • 유순유 (한국산업기술대학교 지식융합학부) ;
  • 이태훈 (단국대학교 토목환경공학과) ;
  • 박규홍 (중앙대학교 사회기반시스템공학부)
  • Received : 2020.07.30
  • Accepted : 2020.08.21
  • Published : 2020.08.15
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Abstract

Since sewer rehabilitation program requires long construction period and enormous capital investment, determination of rehabilitation priorities is important with systematic planning considering appropriate evaluation parameters. In this research, we applied PROMETHEE(Preference Ranking Organization METHod for Evaluations) known as very objective and scientific multi-criteria decision-making analysis, using the weights determined by AHP(Analytic Hierarchy Process) for the selected sewer evaluation items to calculate the rehabilitation priorities for each sewer sub-catchment in basin Gusan 1 of Seoul. Preference functions and preference thresholds were estimated for each criterion of ratio of lack of hydraulic capacity of sewers, defect ratio, ratio of sewers with velocity less than its minimum criteria, and density of sewers in the sub-catchment. As a result, it was found that region d had the first priority among four sub-catchments. For each and every sewer located in region d, we could also rank sewers to be rehabilitated urgently.

Keywords

References

  1. Ariaratnam, S., El-Assaly, A., and Yang, Y. (2001). Assessment of infrastructure inspection needs using logistic models, J. Infrastruct. Syst., 7(4), 160-165. https://doi.org/10.1061/(ASCE)1076-0342(2001)7:4(160)
  2. Berardi, L., Giustolisi, O., Savic, D.A., and Kapelan, Z. (2009). An effective multi-objective approach to prioritization of sewer pipe inspection, Water Sci. Technol., 60(4), 841-850. https://doi.org/10.2166/wst.2009.432
  3. Brans, J.P. (1982). L'ingenierie de la decision. Elaboration d'instruments d'aide a la decision. Methode PROMETHEE. In: Nadeau, R., Landry,M. (Eds.), L'aide a la decision: Nature, instruments et perspectives d'avenir, Presses de l'Universite Laval, Quebec, Canada, 183-214.
  4. Brans, J.P., and Vincke, P.h. (1985). A preference ranking organization method: The PROMETHEE method for MCDM, Manag. Sci., 31(6), 647-656. https://doi.org/10.1287/mnsc.31.6.647
  5. Chung, C.K., Park, K.H., and Choung, Y.K. (2001). Optimization of sewer rehabilitation in a subchtchment area by genetic algorithm, Korean Soc. Civ. Eng., 21(3-B), 295-304.
  6. Fenner, R.A. (2000). Approaches to sewer maintenance: a review, Urban Water, 343-356. https://doi.org/10.1016/S1462-0758(00)00065-0
  7. Fenner, R.A., and Sweeting, L. (1999). A decision support model for the rehabilitation of 'non-critical' sewers, Water Sci. Technol., 39(9), 193-200. https://doi.org/10.1016/S0273-1223(99)00233-4
  8. Jeong, E.S. (2011). Ranking abnormaility taking place in applying AHP, Korea Water Resour. Assoc., 44(10), 72-79.
  9. Jin K.H., Kang, H.H., and Hwang, H.J. (2007). "Development and use of decision support system for sewer rehabilitation", The 33rd KSCE conference CIVIL EXPO 2007, Busan, Korea, Korea soc. civ. eng., 3742-3745.
  10. Kessili, A. and Benmamar, S. (2016). Prioritizing sewer rehabilitation projects using AHP-PROMETHEE II ranking method, Water Sci. Technol., 73(2), 283-291. https://doi.org/10.2166/wst.2015.490
  11. Kim, G.H., Seon, S.P., Yeo, K.D, and Kim H.S. (2012). Determination of investment priority for river improvement project at downstream of dams using PROMETHEE, Korean Soc. Civ. Eng., 32(1), 41-51.
  12. Kim, T.J. (2002). The Development of Sewer Optimal Rehabilitation Decision Making System by Considering Inflow/Infiltration, Master's thesis, Korea University.
  13. Marzouk M., and Omar, M. (2013). Multiobjective optimization alogorithm for sewer network rehabilitation, Struct. Infrastruct. Eng., 9(11), 1094-1102. https://doi.org/10.1080/15732479.2012.666254
  14. McDonald, S., and Zhao, J. (2001). Condition assessment and rehabilitation of large sewers, International conference on underground infrastructure research, University of Waterloo, Canada, 361-369.
  15. Min, J.H., and Song Y.M. (2003). PROMETHEE for multicriteria decision making, Seogang J. Bus., 14(2), 109-127.
  16. Park, K., Ryu, J., Chung, C., and Choung, Y. (2002). "Optimization of sewer rehabilitation considering transportation disruption cost", Proceedings of SOM 2002, IWA Conference at Bradford, UK.
  17. Park, S.Y., Kim, J.H., and Kim, S.K. (2005). A mixed-integer programming model to draw the concordance level and the Kernel set for the implementation of ELECTRE IS, J. Korean Inst. Ind. Eng., 31(4), 265-276.
  18. Plenker, T. (2002). Computer aided decision support on choosing the right technology for sewer rehabilitation, Water Sci. Technol., 66(6-7), 403-410. https://doi.org/10.2166/wst.2002.0706
  19. Ryu, J., and Park, K. (2015). Planning rehabilitation strategy of sewer asset using fast messy genetic algorithm, Lect. Notes Mech. Eng., 20, 61-71.
  20. Pirlot, M. (1997). A common framework for describing some outranking methods, J. Multi-criteria Decis. Anal., 6, 86-92. https://doi.org/10.1002/(SICI)1099-1360(199703)6:2<86::AID-MCDA145>3.0.CO;2-D
  21. Roy. B. (1990). Decision-aid and decision-making, Eur. J. Oper. Res., 45(2-3), 324-331. https://doi.org/10.1016/0377-2217(90)90196-I
  22. Roy. B. (1991). The Outranking approach and the foundations of ELECTRE methods, Theory and Decis, 31, 49-73. https://doi.org/10.1007/BF00134132
  23. Ryu, J.N. (2002). Optimization model for decision making of investment priority and sewer rehabilitation schedule using fast messy genetic algorithm, Master's thesis, Chung-Ang University.
  24. Saegrov, S. (2006). CARE-S computer aided rehabilitation of sewer and storm water networks, IWA publishing, London, UK.
  25. Seoul. (2003). Evaluation of methods for analysis of effect of sewer rehabilitation projects.
  26. Seoul. (2011). Report on detail design for sewer rehabilitation at sub-catchment Gusan 1.
  27. Tagherouit, W.B. (2011). A fuzzy expert system for prioritizing rehabilitation of sewer networks, Comput. Aided Civ. Infrastruct. Eng., 26, 146-152. https://doi.org/10.1111/j.1467-8667.2010.00673.x