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Estimation of the Runoff Curve Number via Direct Rainfall Simulator Measurements in the State of Iowa, USA

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  • Mohamed Elhakeem
  • Athanasios Papanicolaou

Abstract

This study was the first to provide detailed methodological steps to estimate in-situ runoff curve number (CN) for selected agricultural fields in the State of Iowa via rainfall simulators. Representative fields in six counties were chosen to identify the effects of the following variables on runoff CN: rainfall intensity, soil type, soil moisture condition, tillage practice, and residue cover. The study also re-evaluated the range of the existing CN values for the different hydrologic soil groups in Iowa, and revised the equations describing the CN method to consider variables such as residue cover and soil moisture in a more detailed manner than the existing USDA method. The findings of this investigation showed that rainfall simulators are useful instruments for estimating in-situ runoff CN because rainfall intensity was adjustable during an experimental run. Further, the simulators eliminate the need of natural storm events. The range of the estimated CN values in summer agreed well (deviation less than 6%) with the reported CN values. However, the range of the estimated CN values in fall was generally less the reported CN values (deviation of about 40%) due to the high residue levels found in the fields after harvest. The effects of tillage practice and crop type were insignificant compared to residue cover and soil moisture. The study has also shown that the initial abstraction I a is not linearly proportional to the potential maximum retention S, which agrees with the available literature. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:23:y:2009:i:12:p:2455-2473
    DOI: 10.1007/s11269-008-9390-1
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    References listed on IDEAS

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    1. S. Mishra & M. Jain & P. Bhunya & V. Singh, 2005. "Field Applicability of the SCS-CN-Based Mishra–Singh General Model and its Variants," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(1), pages 37-62, February.
    2. 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.
    3. 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. David Kincl & David Kabelka & Jan Vopravil & Darina Heřmanovská, 2021. "Estimating the curve number for conventional and soil conservation technologies using a rainfall simulator," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 16(2), pages 95-102.
    2. Nahkala, Brady A. & Kaleita, Amy L. & Soupir, Michelle L., 2021. "Characterization of prairie pothole inundation using AnnAGNPS under varying management and drainage scenarios," Agricultural Water Management, Elsevier, vol. 255(C).
    3. Dulce Rodrigues & Paulo Oliveira & Teodorico Alves Sobrinho & Eduardo Mendiondo, 2013. "Hydrological benefits in the context of Brazilian environmental services program," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(4), pages 1037-1048, August.
    4. 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.
    5. Assefa, Shibeshi & Biazin, Birhanu & Muluneh, Alemayehu & Yimer, Fantaw & Haileslassie, Amare, 2016. "Rainwater harvesting for supplemental irrigation of onions in the southern dry lands of Ethiopia," Agricultural Water Management, Elsevier, vol. 178(C), pages 325-334.
    6. D. R. Edwards, 2017. "Long-Term Spatio-Temporal Variation in Runoff Curve Number under Consistent Cover Conditions: a Southeastern US Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3491-3505, September.

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