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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15131
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dc.contributor.authorLal M.-
dc.contributor.authorMishra, Surendra Kumar-
dc.contributor.authorKumar M.-
dc.date.accessioned2020-10-15T12:45:59Z-
dc.date.available2020-10-15T12:45:59Z-
dc.date.issued2019-
dc.identifier.citationCatena (2019), 173(): 48-58-
dc.identifier.issn3418162-
dc.identifier.urihttps://doi.org/10.1016/j.catena.2018.09.002-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/15131-
dc.description.abstractThe present study evaluates the performance of five existing and three proposed antecedent moisture condition (AMC)-based runoff curve number (CN) conversion formulae utilizing the data of a large number of naturally observed rainfall (P)–runoff (Q) for an agricultural field located at Roorkee, Uttarakhand, India and available published data around the globe. For developing the proposed formulae, CNs were derived for P–Q datasets from 39 watersheds using standard initial abstraction ratio (λ) values as 0.20 and 0.030. The existing formulae outperformed the proposed formulae when tested numerically using the available National Engineering Handbook chapter–4 (NEH–4) tabular AMC-dependent CNs as target values. It might be because the existing formulae were derived from the same datasets used as targeted values (i.e. NEH–4 AMC defining tables). Therefore, when tested on large set of field data, the three proposed formulae performed better than the existing ones, the formula with λ = 0.030 the best of all. © 2018 Elsevier B.V.-
dc.language.isoen_US-
dc.publisherElsevier B.V.-
dc.relation.ispartofCatena-
dc.subjectAgricultural field-
dc.subjectAntecedent moisture condition-
dc.subjectCurve number-
dc.subjectNEH-4 table-
dc.subjectNRCS-CN-
dc.subjectRunoff-
dc.subjectSCS-CN-
dc.titleReverification of antecedent moisture condition dependent runoff curve number formulae using experimental data of Indian watersheds-
dc.typeArticle-
dc.scopusid56203222900-
dc.scopusid55463271000-
dc.scopusid57209558957-
dc.affiliationLal, M., Irrigation and Drainage Engineering Department, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand 263145, India, Department of Water Resources Development and Management, Indian Institute of Technology, Roorkee, Uttarakhand 247667, India-
dc.affiliationMishra, S.K., Department of Water Resources Development and Management, Indian Institute of Technology, Roorkee, Uttarakhand 247667, India-
dc.affiliationKumar, M., IAF Officer, India-
dc.description.fundingThe expenditure required for data monitoring at Roorkee site was funded by the Ministry of Water Resources, Govt. of India, New Delhi under the Research and Development project on “Experimental Verification of SCS Runoff Curve Numbers for Selected Soils and Land Uses”. The authors also acknowledge the researchers whose published data have been used in this study. Special thanks go to the anonymous reviewers for providing the useful comments to improve the manuscript.-
dc.description.correspondingauthorLal, M.; Irrigation and Drainage Engineering Department, Govind Ballabh Pant University of Agriculture and TechnologyIndia; email: mohan841987@gmail.com-
Appears in Collections:Journal Publications [WR]

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