Technical Notes
Feb 6, 2017

Estimating the Parameters of the Curve Number Model

Publication: Journal of Hydrologic Engineering
Volume 22, Issue 6

Abstract

A methodology is presented for combining the conventional Natural Resources Conservation Service (NRCS) 24-h rainfall distributions with Horton and Green–Ampt infiltration processes to estimate the curve number (CN) and initial abstraction (Ia) parameters of the NRCS curve number model. It is shown that the rainfall distribution, rainfall depth, and infiltration characteristics all affect CN and Ia, and the influence of these factors on CN and Ia under selected conditions are quantified. The results presented in this paper are particularly applicable to cases in which the dominant abstraction mechanism is infiltration.

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References

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Published In

Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 22Issue 6June 2017

History

Received: Nov 23, 2015
Accepted: Oct 19, 2016
Published ahead of print: Feb 6, 2017
Published online: Feb 7, 2017
Published in print: Jun 1, 2017
Discussion open until: Jul 7, 2017

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David A. Chin, F.ASCE [email protected]
Professor, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Miami, Coral Gables, FL 33124. E-mail: [email protected]

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