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Title: Comparative evaluation of SCS-CN-inspired models in applications to classified datasets
Authors: Sahu R.K.
Mishra, Surendra Kumar
Eldho T.I.
Published in: Agricultural Water Management
Abstract: One of the popular methods for estimating the depth of surface runoff for a given rainfall event is the Soil Conservation Service Curve Number (SCS-CN) method. Of late, several inconsistencies in its soil moisture accounting procedure have been pointed out by Michel et al. (2005), and a more rational procedure suggested. Recently, a modification incorporating an expression for estimation of initial soil moisture store level, a crucial parameter, was suggested by Sahu et al. (2007). The present study compares this modification with the original SCS-CN model and the other available variants on a large set of data of 76 small agricultural watersheds of the United States and finally suggests an improved model. The comprehensive comparison between these models reveals the proposed improvement to perform better than all other versions in all classified applications based on land use, soil type, combinations of land use and soil type, and precipitation regimes. A simplified version of the model is further suggested for practical applications. © 2010 Elsevier B.V. All rights reserved.
Citation: Agricultural Water Management (2010), 97(5): 749-756
Issue Date: 2010
Keywords: Curve number method
Rainfall-runoff modeling
Soil moisture accounting (SMA)
ISSN: 3783774
Author Scopus IDs: 57206353875
Author Affiliations: Sahu, R.K., Department of Soil and Water Conservation Engineering, College of Agricultural Engineering, R.A.U., Pusa, Samastipur, 848125, India
Mishra, S.K., Department of Water Resources Development and Management, Indian Institute of Technology, Roorkee, 247667, India
Eldho, T.I., Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India
Corresponding Author: Eldho, T.I.; Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India; email:
Appears in Collections:Journal Publications [WR]

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