DISCUSSIONS AND CLOSURES
Jan 1, 2000
Theoretical Justification of SCS Method for Runoff Estimation
Authors: E. Istanbulluoglu, Stephen Priestley, and Bofu YuAuthor Affiliations
Publication: Journal of Irrigation and Drainage Engineering
Volume 126, Issue 1
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References
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Hawkins, R. H. (1982). “Distribution of loss rates implicit in the SCS runoff equation.” Proc., Joint Mtg. of Arizona-Nevada Acad. of Sci., and Arizona Section Am. Water Resour. Assoc.
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Schaake, J. C., Koren, V. I., Duan, Q.-Y., Mitchell, K., and Chen, F. (1996). “Simple water balance model for estimating runoff at different spatial and temporal scales.” J. Geophys. Res., 101, 7461–7475.
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Boughton, W. C. (1987). “Evaluating partial areas of watershed runoff.”J. Irrig. and Drain. Engrg., ASCE, 113(3), 356–366.
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Levy, G., and Papps, D. (1999). “Development of a standardized storm runoff estimation methodology for the Auckland Region.” Proc., Comprehensive Stormwater & Aquatic Ecosystem Mgmt.
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Ponce, V. M., and Hawkins, R. H. (1996). “Runoff curve number: Has it reached maturity?”J. Hydrologic Engrg., ASCE, 1(1), 11–19.
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Priestley, S. J. (1997). “Storage model for infiltration.” Proc., 24th Hydro. & Water Resour. Symp.
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Moore, R. J. (1985). “The probability-distributed principle and runoff production at point and basin scales.” Hydrological Sci. J., 30, 273–297.
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Published online: Jan 1, 2000
Published in print: Jan 2000
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Authors
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E. Istanbulluoglu
Stephen Priestley
Grad. Res. Asst., Civ. and Envir. Engrg., Utah State Univ., Logan, UT 86322-4110.
Prin., Beca Carter Hollings and Ferner Ltd., Consulting Engrs., New Zealand.
Sr. Lect., Facu. of Envir. Sci., Griffith Univ., Nathan, Qld 4111, Australia.
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