Multi-objective model for regional wastewater systems planning

Civil Engineering and Environmental Systems

Volumn 27, Issue 2, 2010, Pages 95-106

  Zeferino, João A ^a   Antunes, António P ^a   Cunha, Maria C ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

Multi objective models; Simulated annealing; Wastewater systems; Weighting method

Indexed keywords

CAPITAL COSTS; MAINTENANCE COST; MULTI-OBJECTIVE MODELS; OPTIMISATIONS; PLANNING PROBLEM; PUMP STATION; REAL-WORLD PROBLEM; REGIONAL WASTEWATER SYSTEMS; SEWER NETWORKS; SIMULATED ANNEALING ALGORITHMS; TEST INSTANCES; TREATMENT PLANTS; WASTE WATER SYSTEMS; WEIGHTING METHODS;

ANNEALING; BIOCHEMICAL OXYGEN DEMAND; COMPUTER SIMULATION; DISSOLUTION; DISSOLVED OXYGEN; MAINTENANCE; MULTIOBJECTIVE OPTIMIZATION; PERT; STRATEGIC PLANNING; WASTEWATER; WASTEWATER TREATMENT;

SIMULATED ANNEALING;

DISSOLVED OXYGEN; NUMERICAL MODEL; REGIONAL PLANNING; SEWER NETWORK; SIMULATED ANNEALING; SUSTAINABLE DEVELOPMENT; WASTEWATER; WATER TREATMENT;

EID: 77952533367     PISSN: 10286608     EISSN: 10290249     Source Type: Journal    
DOI: 10.1080/09540250802658988     Document Type: Article

References (41)

1. Balkema, A.J., et al., 2002. Indicators for the sustainability assessment of wastewater treatment systems. Urban Water, 4, 153-161.
2. Burn, D.H. and Lence, B.J., 1992. Comparison of optimization formulations for waste-load allocations. Journal of Environmental Engineering-ASCE, 118 (4), 597-612.
3. Burn, D.H. and Yulianti, J.S., 2001. Waste-load allocation using genetic algorithms. Journal of Water Resources Planning and Management-ASCE, 127 (2), 121-129.
4. Chiang, C.H. and Lauria, D.T., 1977. Heuristic algorithm for wastewater planning. Journal of the Environmental Engineering Division-ASCE, 103 (5), 863-876.
5. Coello, C.A., 2000. An updated survey of GA-based multiobjective optimization techniques. ACMComputing Surveys, 32 (2), 109-143.
6. Cohon, J. and Rothley, K. 1997. Multiobjective methods. In: C. ReVelle and A.E. McGarity, eds. Design and operation of civil and environmental engineering systems. New York: John Wiley & Sons, 513-566.
7. Collette, Y. and Siarry, P., 2004. Multiobjective optimization. Berlin: Springer-Verlag.
8. Cunha, M.C. and Sousa, J., 1999. Water distribution network design optimization: simulated annealing approach. Journal of Water Resources Planning and Management-ASCE, 125 (4), 215-221.
9. Cunha, M.C., et al., 2004. Decision-aid models for the implementation of the Water Framework Directive. In: Proceedings of the 4th International Conference on Decision Making in Urban and Civil Engineering (DMUCE 4), CD edition.
10. Deb, K., 2001. Multi-objective optimization using evolutionary algorithms. New York: John Wiley & Sons.
11. Deininger, R.A., 1966. Computer aided design of waste collection and treatment systems. In: Proceedings of the second annual American water resources conference. Chicago: University of Chicago.
12. Dougherty, D.E. and Marryott, R.A., 1991. Optimal groundwater management. 1. Simulated annealing. Water Resources Research, 27 (10), 2493-2508.
13. Dowsland, K., 1993. Simulated annealing. In: C. Reeves, ed. Modern heuristic techniques for combinatorial problems. New York: John Wiley & Sons, 20-69.
14. EC - European Commission, 2000. Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for community action in the field of water policy. Official Journal of the European Communities, L327/1-72.
15. Ellis, K.V. and Tang, S.L., 1991. Wastewater treatment optimization model for developing world. I. Model development. Journal of Environmental Engineering, 117(4), 501-518.
16. Fonseca, C.M. and Fleming, P.J., 1995. An overview of evolutionary algorithms in multiobjective optimization. Evolutionary Computation, 3 (1), 1-16.
17. Foxon, T.J., et al., 2002. Sustainability criteria for decision support in the UK water industry. Journal of Environmental Planning and Management, 45 (2), 285-301.
18. Grodzevich, O. and Romanko O., 2006. Normalization and other topics in multi-objective optimization. In: Proceedings of the first fields -MITACS industrial problems workshop. Toronto, Canada, 89-101.
19. Joeres, E.F., Dressler, J., Cho, C.C., and Falkner, C.H., 1974. Planning methodology forthe design of regional waste water treatment systems. Water Resources Research, 10 (4), 643-649.
20. Johnson, D.S., et al., 1989. Optimization by simulated annealing: an experimental evaluation. 1. Graph partitioning. Operations Research, 37 (6), 865-892.
21. Kirkpatrick, S., Gellatt, C., and Vecchi, M., 1983. Optimization by simulated annealing. Science, 220 (4598), 671-680.
22. Kuo, J.T., Cheng, W.C., and Chen, L., 2003. Multiobjective water resources systems analysis using genetic algorithms - application to Chou-Shui River Basin, Taiwan. Water Science and Technology, 48 (10), 71-77.
23. Kuo, S.F., Liu, C.W., and Merkley, G.P., 2001. Application of the simulated annealing method to agricultural water resource management. Journal of Agricultural Engineering Research, 80 (1), 109-124.
24. Lee, C.S. and Wen, C.G., 1996. Application of multiobjective programming to water quality management in a river basin. Journal ofEnvironmental Management, 47 (1), 11-26.
25. Liebman, J.C. and Lynn, W.R., 1966. Optimal allocation of stream dissolved oxygen. Water Resources Research, 2 (3), 581-591.
26. Marler, R.T. and Arora, J.S., 2004. Survey of multi-objective optimization methods for engineering. Structural and Multidisciplinary Optimization, 26 (6), 369-395.
27. Mcconagha, D.L. and Converse, A.O., 1973. Design and cost allocation algorithm for waste treatment systems. Journal of the Water Pollution Control Federation, 45 (12), 2558-2566.
28. Palme, U., et al., 2005. Sustainable development indicators for wastewater systems - researchers and indicator users in a co-operative case study. Resources Conservation and Recycling, 43 (3), 293-311.
29. Revelle, C.S., Loucks, D.P., and Lynn, W.R., 1967. Linear programming models for water pollution control. Management Science, 14 (4), B166-B181.
30. Sahely, H.R., Kennedy, C.A., and Adams, B.J., 2005. Developing sustainability criteria for urban infrastructure systems. Canadian Journal of Civil Engineering, 32 (1), 72-85.
31. Simonovic, S.P., Venema, H.D., and Burn, D.H., 1992. Risk-based parameter selection for short-term reservoir operation. Journal of Hydrology, 131 (1-4), 269-291.
32. Sousa, J., et al., 2002. An optimization approach to wastewater systems planning at regional level. Journal of Hydroinformatics, 4 (2), 115-123.
33. Tung, Y.-K., 1992. Multiple-objective stochastic waste load allocation. Water Resources Management, 6 (2), 117-133.
34. UN - United Nations, 2005. UN millennium development goals [online]. Available from: http://www.un.org/millenniumgoals/ [Accessed 12 Oct 2007].
35. US EPA - United States Environmental Protection Agency, 1998. Water pollution control - 25 years of progress and challenges for the new millennium (EPA 833-F-98-003)
36. Wang, C.G. and Jamieson, D.G., 2002. An objective approach to regional wastewater treatment planning. Water Resources Research, 38 (3), Art. No. 1022.
37. Wanielista, M.P. and Bauer, C.S., 1972. Centralization of waste treatment facilities. Journal of the Water Pollution Control Federation, 44 (12), 2229-2238.
38. WHO - World Health Organization, 2005. Water for life: making it happen. Geneva.
39. Yandamuri, S.R.M., Srinivasan, K., and Bhallamudi, S.M., 2006. Multiobjective optimal waste load allocation models for rivers using nondominated sorting genetic algorithm-II. Journal of Water Resources Planning and Management-ASCE, 132 (3), 133-143.
40. Yapo, P.O., Gupta, H.V., and Sorooshian, S., 1998. Multi-objective global optimization for hydrologic models. Journal of Hydrology, 204 (1-4), 83-97.
41. Zeferino, J., Cunha, M.C., and Antunes, A., 2006. An efficient simulated annealing algorithm for regional wastewater systems planning. In: Proceedings of the joint international conference on computing and decision making in civil and building engineering, Montreal, Canada, 2636-2646.