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Title: SCS-CN based time-distributed sediment yield model
Authors: Tyagi J.V.
Mishra, Surendra Kumar
Singh R.
Singh V.P.
Published in: Journal of Hydrology
Abstract: A sediment yield model is developed to estimate the temporal rates of sediment yield from rainfall events on natural watersheds. The model utilizes the SCS-CN based infiltration model for computation of rainfall-excess rate, and the SCS-CN-inspired proportionality concept for computation of sediment-excess. For computation of sedimentographs, the sediment-excess is routed to the watershed outlet using a single linear reservoir technique. Analytical development of the model shows the ratio of the potential maximum erosion (A) to the potential maximum retention (S) of the SCS-CN method is constant for a watershed. The model is calibrated and validated on a number of events using the data of seven watersheds from India and the USA. Representative values of the A/S ratio computed for the watersheds from calibration are used for the validation of the model. The encouraging results of the proposed simple four parameter model exhibit its potential in field application. © 2008 Elsevier B.V. All rights reserved.
Citation: Journal of Hydrology (2008), 352(43924): 388-403
Issue Date: 2008
Keywords: A/S ratio
Curve number
Potential maximum erosion
SCS-CN method
ISSN: 221694
Author Scopus IDs: 7003753463
Author Affiliations: Tyagi, J.V., National Institute of Hydrology, Roorkee 247 667, Uttarakhand, India
Mishra, S.K., Department of Water Resources Development and Management, Indian Institute of Technology, Roorkee 247 667, Uttarakhand, India
Singh, R., Department of Hydrology, Indian Institute of Technology, Roorkee 247 667, Uttarakhand, India
Singh, V.P., Department of Biological and Agricultural Engineering, Texas A and M University, 321 Scoates Hall, 2117 TAMU, College Station, TX 77843-2117, United States
Corresponding Author: Tyagi, J.V.; National Institute of Hydrology, Roorkee 247 667, Uttarakhand, India; email:
Appears in Collections:Journal Publications [WR]

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