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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15039
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dc.contributor.authorMishra, Surendra Kumar-
dc.contributor.authorJain, Manoj Kumar-
dc.contributor.authorPandey R.P.-
dc.contributor.authorSingh V.P.-
dc.date.accessioned2020-10-15T12:45:50Z-
dc.date.available2020-10-15T12:45:50Z-
dc.date.issued2003-
dc.identifier.citationWater and Energy International (2003), 60(3): 13-23-
dc.identifier.issn0972057X-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/15039-
dc.description.abstractUsing a large set of data of 138 small watersheds (0.17 ha ≤ area ≤ 83.37 ha) from U.S.A., this paper specifically evaluates the antecedent moisture condition (AMC) - dependent rainfall-runoff models which are based on the Soil Conservation Service Curve Number (SCS-CN) method (SCS, 1956). The study reveals that a modified version of the Mishra and Singh (MS) (2002a) model performs better than the existing SCS-CN method. Furthermore, the MS model is also advantageous in that it obviates sudden jumps in the curve number variation with AMC, which is an unreasonable and undesirable feature of the SCS-CN model.-
dc.language.isoen_US-
dc.relation.ispartofWater and Energy International-
dc.titleEvaluation of the AMC-dependent SCS-CN-based models using large data of small watersheds-
dc.typeArticle-
dc.scopusid55463271000-
dc.scopusid55555537300-
dc.scopusid7401527632-
dc.scopusid57211219633-
dc.affiliationMishra, S.K., Deptt. of Civil Engineering, Indian Institute of Technology, Bombay, Powai, India-
dc.affiliationJain, M.K., National Institute of Hydrology, Roorkee, Uttaranchal, India-
dc.affiliationPandey, R.P., National Institute of Hydrology, Roorkee, Uttaranchal, India-
dc.affiliationSingh, V.P., Deptt. of Civil/Environmental Eng., Louisiana State University, Baton Rouge, LA 70803-6405, United States-
dc.description.correspondingauthorMishra, S.K.; Deptt. of Civil Engineering, Indian Institute of Technology, Bombay, Powai, India-
Appears in Collections:Journal Publications [WR]

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