Peak-Flow Forecasting with Genetic Algorithm and SWMM
This article has a reply.
VIEW THE REPLYPublication: Journal of Hydraulic Engineering
Volume 121, Issue 8
Abstract
The success of a catchment model is known to depend a great deal on the catchment-model calibration scheme applied to it. This paper presents the application of a genetic algorithm (GA) in the search for the optimal values of catchment calibration parameters. GA is linked to a widely used catchment model, the storm water management model (SWMM), and applied to a catchment in Singapore of about 6.11 km 2 in size. Six storms were considered: three for calibration and three for verification. The study shows that GA requires only a small number of catchment-model simulations and yet yields relatively high peak-flow prediction accuracy. The prediction error ranges from 0.045% to 7.265%.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
ASCE Task Committee on Evaluation Criteria for Watershed Models. (1990). “Summary report: Evaluation criteria for watershed models.”Proc., Symp. on Watershed Mgmt. of Irrig. and Drain., R. E. Riggins et al., eds., ASCE, New York, N.Y., 386–394.
2.
Baffaut, C., and Delleur, J. W.(1989). “Expert system for calibrating SWMM.”J. Water Resour. Plng. and Mgmt., ASCE, 115(3), 278–298.
3.
Davis, L. (1991). A handbook of genetic algorithms . Van Nostrand Reinhold, New York, N.Y.
4.
Duan, Q., Sorooshian, S., and Gupta, V.(1992). “Effective and efficient global optimization for conceptual rainfall-runoff models.”Water Resour. Res., 28(4), 1015–1031.
5.
Goldberg, D. E. (1989). Genetic algorithms for search, optimisation, and machine learning . Addison-Wesley Publishing Co., Reading, Mass.
6.
Grefenstette, J. J. (1983). A user's guide to Genesis . The Software Partnership, Melrose, Mass.
7.
Gupta, V. K., and Sorooshian, S.(1985). “The automatic calibration of conceptual catchment models using derivative-based optimization algorithms.”Water Resour. Res., 21(4), 473–485.
8.
Holland, J. H. (1975). Adaptation in natural and artificial systems . Univ. of Michigan Press, Ann Arbor, Mich.
9.
Huber, W. C., Heaney, J. P., Nix, S. J., Dickonson, R. E., and Polman, D. J. (1982). Storm water management model; User's manual, Version III, U.S. Envir. Protection Agency, Cincinnati, Ohio.
10.
Ibbitt, R. P., and O'Donnell, T.(1971). “Fitting methods for conceptual catchment models.”J. Hydr. Div., ASCE, 7(9), 1331–1342.
11.
Ibrahim, Y., and Liong, S. Y.(1992). “Calibration strategy for urban catchment parameters.”J. Hydr. Engrg., ASCE, 118(11), 1550–1570.
12.
Ibrahim, Y., and Liong, S. Y.(1993). “A method of estimating optimal catchment model parameters.”Water Resour. Res., 29(9), 3049–3059.
13.
Johnston, P. R., and Pilgrim, D. H.(1976). “Parameter optimization for watershed models.”Water Resour. Res., 12(3), 477–486.
14.
Liong, S. Y., Chan, W. T., and Lum, L. H.(1991). “Knowledge based system for SWMM runoff component calibration.”J. Water Resour. Plng. and Mgmt., ASCE, 117(5), 507–524.
15.
Liong, S. Y., and Ibrahim, Y.(1994). “Estimation of peak flow and runoff volume with response surface method.”J. Water Resour. Plng. and Mgmt., ASCE, 120(2), 161–175.
16.
Mein, R. G., and Brown, B. M.(1978). “Sensitivity of optimized parameters in watershed models.”Water Resour. Res., 14(5), 229–303.
17.
Wang, Q. J.(1991). “The genetic algorithm and its application to calibrating conceptual rainfall-runoff models.”Water Resour. Res., 27(9), 2467–2471.
18.
Whitley, D. (1993). “A genetic algorithm tutorial.”Tech. Rep. CS-93-103, Colorado State Univ., Fort Collins, Colo.
Information & Authors
Information
Published In
Journal of Hydraulic Engineering
Volume 121 • Issue 8 • August 1995
Pages: 613 - 617
Copyright
Copyright © 1995 American Society of Civil Engineers.
History
Published online: Aug 1, 1995
Published in print: Aug 1995
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.