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Evaluation of AMC-Dependent SCS-CN-Based Models Using Watershed Characteristics

Author

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  • M. Jain
  • S. Mishra
  • V. Singh

Abstract

This paper presents a quantitative evaluation of the existing Soil Conservation Service Curve Number (SCS-CN) model, its variants, and the modified Mishra and Singh (MS) models for their suitability to particular land use, soil type and combination thereof using a large set of rainfall-runoff data from small to large watersheds of the U.S.A. The analysis reveals that the existing SCS-CN model is more suitable for high runoff producing agricultural watersheds than to watersheds showing pasture/range land use and sandy soils. On the other hand, the two different versions of the Mishra-Singh model are more suitable for both high and low runoff producing watersheds, but with mixed land use. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • M. Jain & S. Mishra & V. Singh, 2006. "Evaluation of AMC-Dependent SCS-CN-Based Models Using Watershed Characteristics," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(4), pages 531-552, August.
    • Handle: RePEc:spr:waterr:v:20:y:2006:i:4:p:531-552
    DOI: 10.1007/s11269-006-3086-1
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    Cited by:

    1. Sahu, R.K. & Mishra, S.K. & Eldho, T.I., 2010. "Comparative evaluation of SCS-CN-inspired models in applications to classified datasets," Agricultural Water Management, Elsevier, vol. 97(5), pages 749-756, May.
    2. Narayan C. Ghosh & Rahul Kumar Jaiswal & Shakir Ali, 2021. "Normalized Antecedent Precipitation Index Based Model for Prediction of Runoff from Un-Gauged Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(4), pages 1211-1230, March.

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