TECHNICAL PAPERS
Jul 1, 2008

Performances of Rainfall-Runoff Models Calibrated over Single and Continuous Storm Flow Events

Publication: Journal of Hydrologic Engineering
Volume 13, Issue 7

Abstract

Accurate parameter estimation is important for reliable rainfall-runoff modeling. Previous studies emphasize that a sufficient length of continuous events is required for model calibration to overcome the effect of initial conditions. This paper investigates the feasibility of calibrating rainfall-runoff models over a number of limited storm flow events. For a subcatchment having a moderate influence from initial soil moisture conditions, this study shows that rainfall-runoff models could still be calibrated reliably over a set of representative events provided that the events cover a wide range of peak flow, total runoff volume, and initial soil moisture conditions. This approach could provide an alternative calibration strategy for a small watershed that has a limited data length but consists of runoff events with a wide range of magnitudes. Compared to continuous-event calibration, event-based calibration appears to perform better in simulating the overall shape of hydrograph, peak flow and time to peak. However, continuous-event calibration was found to be more reliable in providing runoff volume, suggesting that continuous-event calibration should still be used when runoff volume is the main concern of a study.

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References

ASCE. (1992). Design and construction of urban stormwater management systems, New York.
Bedient, P. B., and Huber, W. C. (2002). Hydrology and flood plain analysis, 3rd Ed., Prentice-Hall, Upper Saddle River, N.J.
Bergstrom, S., Lindstrom, G., and Petterson, A. (2002). “Multi-variable parameter estimation to increase confidence in hydrological modelling.” Hydrolog. Process., 16, 413–421.
Brath, A., Montanari, A., and Toth, E. (2004). “Analysis of the effects of different scenarios of historical data availability on the calibration of a spatially-distributed hydrological model.” J. Hydrol., 291, 232–253.
Chau, K. W. (2006). “Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun River.” J. Hydrol., 329, 363–367.
Chau, K. W., Wu, C. L., and Li, Y. S. (2005). “Comparison of several flood forecasting models in Yangtze River.” J. Hydrol. Eng., 10(6), 485–491.
Chaubey, I., Haan, C. T., Grunwald, S., and Salisbury, J. M. (1999). “Uncertainty in the model parameters due to spatial variability of rainfall.” J. Hydrol., 220, 48–61.
Cheng, C.-T., Wu, X.-Y., and Chau, K. W. (2005). “Multiple criteria rainfall-runoff model calibration using a parallel genetic algorithm in a cluster of computers.” Hydrol. Sci. J., 50(6), 1069–1087.
Cheng, C.-T., Zhao, M.-Y., Chau, K. W., and Wu, X.-Y. (2006). “Using genetic algorithm and TOPSIS for Xinanjiang model calibration with a single procedure.” J. Hydrol., 316, 129–140.
Chow, V. T. (1964). Handbook of applied hydrology: A compendium of water resources technology, McGraw-Hill, New York.
Deletic, A. (2001). “Modelling of water and sediment transport over grassed areas.” J. Hydrol., 248, 168–182.
Doherty, J. (2003). PEST surface water utilities, Watermark Numerical Computing and Univ. of Idaho, Idaho Falls, Id.
Doherty, J. (2004). PEST model-independent parameter estimation, users’ manual, 5th Ed., Watermark Numerical Computing, Idaho.
Fontaine, T. A. (1995). “Rainfall-runoff model accuracy for an extreme flood.” J. Hydraul. Eng., 121(4), 365–374.
Gan, T. Y., Dlamini, E. M., and Biftu, G. F. (1997). “Effects of model complexity and structure, data quality, and objective functions on hydrologic modeling.” J. Hydrol., 192, 81–103.
Hach Company. (2002–2004). Sigma 950 flow meter: Instrument manual, Catalog Number 3314, Loveland, Colo.
Krause, P., Boyle, D. P., and Base, F. (2005). “Comparison of different efficiency criteria for hydrological model assessment.” Adv. Geosci., 5, 89–97.
Legates, D. R., and McCabe, G. J., Jr. (1999). “Evaluating the use of goodness-of-fit in hydrologic and hydroclimatic model validation.” Water Resour. Res., 35(1), 233–241.
Lighthill, M. J., and Whitham, C. B. (1955). “On kinematic wave, 1, flood movement in long rivers.” Proc. R. Soc. London, Ser. A, 229, 281–316.
Lin, J.-Y., Cheng, C.-T., and Chau, K.-W. (2006). “Using support vector machines for long-term discharge prediction.” Hydrol. Sci. J., 51(4), 599–612.
Madsen, H. (2000). “Automatic calibration of a conceptual rainfall-runoff model using multiple objectives.” J. Hydrol., 235, 276–288.
Madsen, H. (2003). “Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives.” Adv. Water Resour., 26, 205–216.
Madsen, H., Wilson, G., and Ammentorp, H. C. (2002). “Comparison of different automated strategies for calibration of rainfall-runoff models.” J. Hydrol., 261, 48–59.
McCuen, R., Johnson, P., and Ragan, R. (1996). Hydrology, FHWA-SA-96–067, Federal Highway Administration, Washington, D.C.
Mugo, J. M., and Sharma, T. C. (1999). “Application of a conceptual method for separating runoff components in daily hydrographs in Kimakia Forest catchments, Kenya.” Hydrolog. Process., 13, 2931–2939.
Nash, J. E., and Sutcliffe, J. V. (1970). “River flow forecasting through conceptual models. Part 1—A discussion of principles.” J. Hydrol., 10, 282–290.
Nzewi, E. U. (2001). The McGraw-Hill civil engineering PE exam depth guide: Water resource, McGraw-Hill, New York.
Rawls, W., Yates, P., and Asmussen, L. (1976). “Calibration of selected infiltration equations for the Georgia coastal plain.” ARS-S-113, Agricultural Research Service, U.S. Department of Agriculture, Washington, D.C.
Riad, S., Mania, J., Bouchaou, L., and Najjar, Y. (2004). “Predicting catchment flow in a semi-arid region via an artificial neural network technique.” Hydrolog. Process., 18, 2389–2394.
Shen, H.-W., and Li, R.-M. (1973). “Rainfall effect on sheet flow over smooth surface.” J. Hydr. Div., 99(5), 771–792.
Stephenson, D., and Meadows, M. E. (1986). Kinematic hydrology and modelling, Elsevier, New York.
Tan, S. K. (1995). “Effect of rainfall sequences and areal spread of rainfall on information for tropical catchment-runoff model.” Applied Research Project Report No. RP31/89, Nanyang Technological Univ., Nanyang, Singapore.
Thirumalaih, K., and Deo, M. C. (1998). “River stage forecasting using artificial neural networks.” J. Hydrol. Eng., 3(1), 26–32.
Tokar, A. S., and Johnson, P. A. (1999). “Rainfall-runoff modeling using artificial neural networks.” J. Hydrol. Eng., 4(3), 232–239.
Wanielista, M. P. (1997). Hydrology and water quality control, 2nd Ed., Wiley, New York.
Wilkerson, G. V., and McGahan, J. L. (2005). “Depth-averaged velocity distribution in straight trapezoidal channels.” J. Hydrol. Eng., 131(6), 509–512.
Wilson, E. M. (1989). Engineering hydrology, 4th Ed., MacMillan, Manchester, U.K.
Wu, J. S., Han, J., Annambhotla, S., and Bryant, S. (2005). “Artificial neural networks for forecasting watershed runoff and stream flows.”J. Hydrol. Eng., 10(3), 216–222.
Xiong, Y., and Melching, C. S. (2005). “Comparison of kinematic wave and nonlinear reservoir routing of urban watershed runoff.” J. Hydrol. Eng., 10(1), 39–49.
XP Software Inc. (2005). XP-SWMM users’ manual.
Yang, T.-C., Yu, P.-S., Kuo, C.-M., and Wang, Y.-C. (2004). “Application of fuzzy multiobjective function on a storm-event rainfall-runoff model calibration.” J. Hydrol. Eng., 9(5), 440–445.
Yu, P.-S., and Yang, T.-C. (2000). “Fuzzy multi-objective function for rainfall-runoff model calibration.” J. Hydrol., 238, 1–14.

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Published In

Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 13Issue 7July 2008
Pages: 597 - 607

History

Received: Mar 22, 2007
Accepted: Sep 12, 2007
Published online: Jul 1, 2008
Published in print: Jul 2008

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Authors

Affiliations

Stephen Boon Tan [email protected].
Research Fellow, School of Civil and Environmental Engineering, Nanyang Technological Univ., Block N1, #B4b-07, 50 Nanyang Ave, Singapore 639798 (corresponding author). E-mail: [email protected].
Lloyd Hock Chua
Assistant Professor, School of Civil and Environmental Engineering, Nanyang Technological Univ., Block N1, #01c-70, 50 Nanyang Ave., Singapore 639798.
Eng Ban Shuy
Associate Professor, School of Civil and Environmental Engineering, Nanyang Technological Univ., Block N1, #01a-23, 50 Nanyang Ave., Singapore 639798.
Edmond Yat-Man Lo, A.M.ASCE
Associate Professor, School of Civil and Environmental Engineering, Nanyang Technological Univ., Block N1, #01a-28, 50 Nanyang Ave., Singapore 639798.
Lai Wan Lim
Project Officer, School of Civil and Environmental Engineering, Nanyang Technological Univ., Block N1, #B3b-28, 50 Nanyang Ave., Singapore 639798.

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