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Title: Improved scs-cn-inspired model
Authors: Suresh Babu P.
Mishra, Surendra Kumar
Published in: Journal of Hydrologic Engineering
Abstract: The present study enhances the Soil Conservation Service curve number (SCS-CN) predictions by improving the model structure, considering the following issues of concern: implementation of antecedent moisture condition procedure, fixation of initial abstraction ratio (λ) at 0.2, usage of the potential maximum retention parameter, and incorporation of storm intensity or duration in runoff estimation. A fiveparameter M3 model is proposed, with storm duration and a new parameter Sabs (potential maximum retention), to overcome most of the above limitations prevailing in the SCS-CN model. For simplicity and practical applications obviating storm-duration data, a four-parameter M4 model is also proposed. The performance of the suggested and the available models has been evaluated using the data of 82 small watersheds in the United States of America. As demonstrated, the M3 model performs the best, whereas the conventional SCS-CN model performs the poorest among all the models studied.© 2012 American Society of Civil Engineers.
Citation: Journal of Hydrologic Engineering (2012), 17(11): 1164-1172
Issue Date: 2012
Keywords: AMC
CN method
Rainfall-runoff model
Storm duration.
ISSN: 10840699
Author Scopus IDs: 54780826400
Author Affiliations: Suresh Babu, P., DHI Water and Environment (S) Pte Ltd, 200 Pandan Loop, #08-03 Pantech 21, Singapore 128388, Singapore
Mishra, S.K., Dept. of Water Resource Development and Management, Indian Institute of Technology, Roorkee 247 667, India
Corresponding Author: Suresh Babu, P.; DHI Water and Environment (S) Pte Ltd, 200 Pandan Loop, #08-03 Pantech 21, Singapore 128388, Singapore; email:
Appears in Collections:Journal Publications [WR]

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