Multiobjective Watershed-Level Planning of Storm Water Detention Systems
Publication: Journal of Water Resources Planning and Management
Volume 123, Issue 6
Abstract
Detention basins are the most popular structural measure for urban flood control and have proven effective for both water quantity and quality management. Integrated, watershed-level planning of the layout and sizing of detention systems is essential because localized solutions may actually aggravate the negative impacts of urban drainage. Successive reaching dynamic programming (SRDP) is applied to minimize detention system costs of maintaining ranges of desired downstream peak flow attenuation, with basin and channel routing imbedded within the algorithm. A multiobjective genetic algorithm (MOGA) is also applied to generating nondominated solutions for system cost and detention effect for a watershed-level detention system. These algorithms are applied to the layout and design of a stormwater detention system in the Pazam watershed located in southern Taiwan. The case study confirms the robustness and computational efficiency of the SRDP algorithm, and the MOGA generates a wide range of nondominated solutions for trade-off analysis using a proposed elite solutions conservation procedure.
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References
1.
Bennett, M. S., and Mays, L. W.(1985). “Optimal design of detention and drainage channel systems.”J. Water Resour. Plng. and Mgmt., ASCE, 111(1), 99–112.
2.
Cieniawski, S. E., Eheart, W., and Ranjithan, S.(1995). “Using genetic algorithms to solve a multiobjective groundwater monitoring problem.”Water Resour. Res., 31(2), 399–409.
3.
Curtis, D. C., and McCuen, R. H. (1977). “Design efficiency of storm water detention basins. J. Water Resour. Plng. and Mgmt., ASCE, 103(WR1), 125–140.
4.
Doyle, J. R., Heaney, J. P., Huber, W. C., and Hasan, S. M. (1976). “Efficient storage of urban storm water runoff.”Proc., Conf. on Envir. Modeling and Simulation, Ofc. of Res. and Devel., U.S. Envir. Protection Agency, 139–143.
5.
Fonseca, C. M., and Fleming, P. J. (1993). “Genetic algorithms for multiobjective optimization: formulation, discussion and generalization.”Proc., 5th Int. Conf. on Genetic Algorithms and Their Application, 416–423.
6.
Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Publishing Co., Reading, Mass.
7.
Grigg, N. S. (1996). Water resources management: principles, regulations, and cases. McGraw-Hill, Inc., New York.
8.
Jones, J. E.(1990). “Multipurpose stormwater detention ponds,”Public Works, 121(13), 52, 53.
9.
Jorling, T. C. (1992). Reducing the impacts of stormwater runoff from new development. Dept. of Envir. Conservation, Bureau of Water Quality Mgmt., N.Y.
10.
Kamedulski, G. E., and McCuen, R. H. (1979). “Evaluation of alternatives stormwater detention policies.”J. Water Resour. Plng. and Mgmt., ASCE, 105(WR2), 171–186.
11.
Labadie, J. (1990). “Dynamic programming with the microcomputer.”Encyclopedia of Microcomputers, A. Kent and J. Williams, eds., Vol. 5, Marcel Dekker, Inc., New York, 275–338.
12.
Lakatos, D. F, and Kropp, R. H. (1982). “Storm water detention: downstream effects on peak flow rates.”Proc., Conf. on Storm Water Detention Facilities: Plng., Des., and Maintenance, W. De Groot, ed., ASCE Press, New York.
13.
Loganathan, V. G., Watkins, E. W., and Kibler, D. F.(1994). “Sizing stormwater detention basins for pollutant removal.”J. Envir. Engrg., ASCE, 120(6), 1380.
14.
Mays, L. W., and Bedient, P. B. (1982). “Model for optimal size and location of detention.”J. Water Resour. Plng. and Mgmt., ASCE, 108(WR3), 270–285.
15.
McEnroe, B. M.(1992). “Preliminary sizing of detention reservoirs to reduce peak discharges.”J. of Hydr. Engrg., ASCE, 118(11), 1540–1549.
16.
Moglen, G. E., and McCuen, R. H.(1990). “Multicriterion stormwater management methods.”J. Water Resour. Plng. and Mgmt., ASCE, 114(4), 414–431.
17.
Ormsbee, L. E., Houck, M. H., and Delleur, J. W.(1987). “Design of dual-purpose detention system using dynamic programming.”J. Water Resour. Plng. and Mgmt., ASCE, 113(4), 471–484.
18.
Otero, J., Labadie, J., Haunert, D., and Daron, M. (1995). “Optimization of Managed Runoff to the St. Lucie Estuary.”Proc., 1st Int. Conf. on Water Resour. Engrg., W. Espey and P. Combs, eds., ASCE Press, New York.
19.
SAS language and procedures: usage. (1990). Version 6, 1st Ed., SAS Inst., Inc., Cary, N.C.
20.
Schaffer, J. D. (1985). “Multiple objective optimization with vector evaluated genetic algorithms.”Proc., 1st Int. Conf. on Genetic Algorithms and Their Applications, Carnegie-Mellon Univ., Pittsburg, Pa., 93–100.
21.
“Stormwater management for transportation facilities.” (1993). Nat. Cooperative Hwy. Res. Program 174, Transportation Research Board. National Research Council, Washington, D.C.
22.
Taur, C.-K., Toth, G., Oswald, G. E., and Mays, L. W.(1987). “Austin detention basin optimization model.”J. Water Resour. Plng. and Mgmt., ASCE, 113(7), 860–878.
23.
Teng, W.-C., and Chou, T.-Y.(1995). “The study of landuse patterns exchange on runoff.”J. Chinese Soil and Water Conservation, 26(2), 89–102.
24.
Yeh, C.-H., and Tuan, C.-H.(1994). “Hydrological and hydraulic characteristics of flood-detention dams.”J. Chinese Soil and Water Conservation, 25(4), 181–189.
Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 123 • Issue 6 • November 1997
Pages: 336 - 343
Copyright
Copyright © 1997 American Society of Civil Engineers.
History
Published online: Nov 1, 1997
Published in print: Nov 1997
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