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An Improved I a S Relation Incorporating Antecedent Moisture in SCS-CN Methodology

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  • S. Mishra
  • R. Sahu
  • T. Eldho
  • M. Jain

Abstract

Employing a large dataset of 84 small watersheds (area=0.17 to 71.99 ha) of U.S.A., this paper investigates a number of initial abstraction (I a )-potential maximum retention (S) relations incorporating antecedent moisture (M) as a function of antecedent precipitation (P 5 ), and finally suggests an improved relation for use in the popular Soil Conservation Service Curve Number (SCS-CN) methodology for determination of direct runoff from given rainfall. The improved performance of the incorporated M=α $$sqrt{P_5S}$$ and I a =λ S 2 /(S + M) relations, where λ is the initial abstraction coefficient, in the SCS-CN methodology exhibits the dependence of I a on M, which is close to reality; the larger the M, the lesser will be I a , and vice versa. Such incorporation obviates sudden jumps in the curve number variation with antecedent moisture condition, an unreasonable and undesirable feature of the existing SCS-CN model. Copyright Springer Science+Business Media, Inc. 2006

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  • 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.
  • Handle: RePEc:spr:waterr:v:20:y:2006:i:5:p:643-660
    DOI: 10.1007/s11269-005-9000-4
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    1. S. K. Mishra & M. K. Jain & V. P. Singh, 2004. "Evaluation of the SCS-CN-Based Model Incorporating Antecedent Moisture," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(6), pages 567-589, December.
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    Cited by:

    1. Shray Pathak & Chandra Shekhar Prasad Ojha & Rahul Dev Garg & Min Liu & Daniel Jato-Espino & Rajendra Prasad Singh, 2020. "Spatiotemporal Analysis of Water Resources in the Haridwar Region of Uttarakhand, India," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    2. Pingjin Jiao & Di Xu & Shaoli Wang & Yingduo Yu & Songjun Han, 2015. "Improved SCS-CN Method Based on Storage and Depletion of Antecedent Daily Precipitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4753-4765, October.
    3. Muhammad Ajmal & Jae-Hyun Ahn & Tae-Woong Kim, 2016. "Excess Stormwater Quantification in Ungauged Watersheds Using an Event-Based Modified NRCS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1433-1448, March.
    4. Selome Tessema & Steve Lyon & Shimelis Setegn & Ulla Mörtberg, 2014. "Effects of Different Retention Parameter Estimation Methods on the Prediction of Surface Runoff Using the SCS Curve Number Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3241-3254, August.
    5. Muhammad Waseem & Muhammad Ajmal & Joo Heon Lee & Tae-Woong Kim, 2016. "Multivariate Drought Assessment Considering the Antecedent Drought Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4221-4231, September.
    6. Jabir Haruna Abdulkareem & Biswajeet Pradhan & Wan Nor Azmin Sulaiman & Nor Rohaizah Jamil, 2019. "Long-term runoff dynamics assessment measured through land use/cover (LULC) changes in a tropical complex catchment," Environment Systems and Decisions, Springer, vol. 39(1), pages 16-33, March.
    7. 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.
    8. Konstantinos Soulis & John Valiantzas, 2013. "Identification of the SCS-CN Parameter Spatial Distribution Using Rainfall-Runoff Data in Heterogeneous Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(6), pages 1737-1749, April.
    9. Wenhai Shi & Mingbin Huang & Kate Gongadze & Lianhai Wu, 2017. "A Modified SCS-CN Method Incorporating Storm Duration and Antecedent Soil Moisture Estimation for Runoff Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1713-1727, March.
    10. Mohamed Elhakeem & Athanasios Papanicolaou, 2009. "Estimation of the Runoff Curve Number via Direct Rainfall Simulator Measurements in the State of Iowa, USA," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2455-2473, September.
    11. 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.
    12. Muhammad Ajmal & Jae-Hyun Ahn & Tae-Woong Kim, 2016. "Excess Stormwater Quantification in Ungauged Watersheds Using an Event-Based Modified NRCS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1433-1448, March.
    13. Vijay P. Santikari & Lawrence C. Murdoch, 2019. "Accounting for Spatiotemporal Variations of Curve Number Using Variable Initial Abstraction and Antecedent Moisture," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 641-656, January.

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