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A Rain Duration and Modified AMC-dependent SCS-CN Procedure for Long Duration Rainfall-runoff Events

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  • S. Mishra
  • R. Pandey
  • M. Jain
  • Vijay Singh

Abstract

This paper presents a rain duration-dependent procedure based on the popular Soil Conservation Service Curve Number (SCS-CN) methodology for computation of direct surface runoff from long duration rains. Curve numbers are derived from long-term daily rainfall-runoff data, and antecedent moisture condition (AMC) related with antecedent duration. Analysis of data from five Indian (large, in terms of area) watersheds reveals the calculated curve numbers to decrease with the considered duration, showing the existence of a characteristic value of minimum CN or maximum initial abstraction to occur in a watershed for a pre-selected AMC. The testing of the proposed procedure on the separate (measured) rainfall-runoff event data sets from the same watersheds suggests satisfactory workability of the method. Copyright Springer Science+Business Media B.V. 2008

Suggested Citation

  • S. Mishra & R. Pandey & M. Jain & Vijay Singh, 2008. "A Rain Duration and Modified AMC-dependent SCS-CN Procedure for Long Duration Rainfall-runoff Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(7), pages 861-876, July.
    • Handle: RePEc:spr:waterr:v:22:y:2008:i:7:p:861-876
    DOI: 10.1007/s11269-007-9196-6
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    References listed on IDEAS

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    1. S. Mishra & R. Sahu & T. Eldho & M. Jain, 2006. "An Improved I a S Relation Incorporating Antecedent Moisture in SCS-CN Methodology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(5), pages 643-660, October.
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    1. I. Argyrokastritis & G. Kargas & P. Kerkides, 2009. "Simulation of Soil Moisture Profiles Using K(h) from Coupling Experimental Retention Curves and One-Step Outflow Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(15), pages 3255-3266, December.
    2. Xianhong Meng & Min Zhang & Jiahong Wen & Shiqiang Du & Hui Xu & Luyang Wang & Yan Yang, 2019. "A Simple GIS-Based Model for Urban Rainstorm Inundation Simulation," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    3. Napoli, Marco & Cecchi, Stefano & Orlandini, Simone & Zanchi, Camillo A., 2014. "Determining potential rainwater harvesting sites using a continuous runoff potential accounting procedure and GIS techniques in central Italy," Agricultural Water Management, Elsevier, vol. 141(C), pages 55-65.
    4. Ajaykumar Kadam & Sanjay Kale & Nagesh Pande & N. Pawar & R. Sankhua, 2012. "Identifying Potential Rainwater Harvesting Sites of a Semi-arid, Basaltic Region of Western India, Using SCS-CN Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2537-2554, July.
    5. Ramesh S. V. Teegavarapu & Singaiah Chinatalapudi, 2018. "Incorporating Influences of Shallow Groundwater Conditions in Curve Number-Based Runoff Estimation Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4313-4327, October.

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