Generation of Total Runoff Hydrographs Using a Method Derived from a Digital Filter Algorithm
Publication: Journal of Hydrologic Engineering
Volume 14, Issue 1
Abstract
A reliable prediction of the total runoff hydrograph is necessary for water resources management. This study investigates two approaches to generate total runoff hydrograph by adding baseflow to direct runoff hydrographs. The first approach uses a method, derived from a digital filter algorithm for hydrograph separation, to generate baseflow hydrographs from direct runoff hydrographs. The method appears to perform well in producing the overall shape of the total runoff hydrographs and the acceptable mass balance errors for a year of water cycle. For application, the recession baseflow constant needs to be estimated reliably and the initial baseflow could be approximated to the long-term mean dry weather flow. The second approach assumes a constant baseflow rate. Although this approach is still capable of producing the overall hydrograph shape, it yields high mass balance errors in the total runoff hydrographs for both monthly and long-term periods. Further analysis shows that two-third of the mass balance errors are contributed from periods with direct runoff, implying that the constant baseflow assumption could introduce significant errors into the computations of total runoff hydrograph.
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References
Bergstrom, S., Lindstrom, G., and Petterson, A. (2002). “Multi-variable parameter estimation to increase confidence in hydrological modelling.” Hydrolog. Process., 16, 413–421.
Grossmann, A., and Morlet, J. (1984). “Decomposition of hardy function into square integrable wavelets of constant slope.” J. Math., 15, 732–736.
Krause, P., Boyle, D. P., and Base, F. (2005). “Comparison of different efficiency criteria for hydrological model assessment.” Adv. Geosci., 5, 89–97.
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.
Morlet, G. A., Fourgeau, I., and Giard, D. (1982). “Wave propagation and sampling theory.” Geophysics, 47, 203–236.
Mugo, J. M., and Sharma, T. C. (1999). “Application of a conceptual model for separating runoff components in daily hydrograph in Kimakia forest catchment, Kenya.” Hydrolog. Process., 13, 2931–2939.
Nathan, R. J., and McMahon, T. A. (1990). “Evaluation of automated techniques for base flow and recession analysis.” Water Resour. Res., 26, 1465–1473.
Sujono, J., Shikasho, S., and Hiramatsu, K. (2004). “A comparison of techniques for hydrograph recession analysis.” Hydrolog. Process., 18, 403–413.
Task Committee on Hydrology Handbook of Management Group D of the American Society of Civil Engineers. (ASCE). (1996). Hydrology handbook, 2nd Ed., ASCE, New York.
Tung, C.-P., Hong, N.-M., Chen, C.-H., and Tan, Y.-C. (2004). “Regional daily baseflow prediction.” Hydrolog. Process., 18, 2147–2164.
Vogel, R. M., and Kroll, C. N. (1992). “Regional geohydrologic and geomorphologic relationships for estimation of low-flow statistics.” Water Resour. Res., 28(9), 2451–2458.
Vogel, R. M., and Kroll, C. N. (1996). “Estimation of baseflow recession constants.” Water Resour. Manage., 10, 303–320.
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© 2009 ASCE.
History
Received: Mar 29, 2007
Accepted: Apr 8, 2008
Published online: Jan 1, 2009
Published in print: Jan 2009
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