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Improved SCS-CN Method Based on Storage and Depletion of Antecedent Daily Precipitation

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  • Pingjin Jiao
  • Di Xu
  • Shaoli Wang
  • Yingduo Yu
  • Songjun Han

Abstract

The accurate simulation or prediction of storm runoff is one of the most important bases of water resource management and environmental quality assessment of water and soil. The soil conservation service-curve number (SCS-CN) method cannot effectively determine the effect of antecedent precipitation storage and depletion on runoff, which limits the accuracy of the method’s runoff prediction. Thus, potential initial abstraction and decay constant were developed in this study to improve the SCS-CN method. Potential initial abstraction determined the maximum rainfall storage before runoff and the threshold of daily effective rainfall, and the decay constant was used to describe the dynamic depletion of antecedent daily effective rainfall induced by evapotranspiration and seepage. The improved SCS-CN method was evaluated withthe runoff data observed in four cropping systems and three drainage areas, and it proved that the improved SCS-CN method predicted runoff more accurately than the original SCS-CN method. The inproved SCS-CN method increased both NSE and R 2 values by more than 20 % for the four cropping systems, and increased R 2 values by 11.9, 13.9 and 9.6 % for the plot, field, and catchment, respectively, compared with the original SCS-CN method. The decay constant did not vary with cropping systems and drainage areas. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:13:p:4753-4765
    DOI: 10.1007/s11269-015-1088-6
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    References listed on IDEAS

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    1. Muhammad Ajmal & Muhammad Waseem & Jae-Hyun Ahn & Tae-Woong Kim, 2015. "Improved Runoff Estimation Using Event-Based Rainfall-Runoff Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 1995-2010, April.
    2. S. Mishra & M. Jain & P. Suresh Babu & K. Venugopal & S. Kaliappan, 2008. "Comparison of AMC-dependent CN-conversion Formulae," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(10), pages 1409-1420, October.
    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.
    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.
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    2. Ravindra Kumar Verma & Sangeeta Verma & Surendra Kumar Mishra & Ashish Pandey, 2021. "SCS-CN-Based Improved Models for Direct Surface Runoff Estimation from Large Rainfall Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2149-2175, May.
    3. 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.
    4. Chunlin Li & Miao Liu & Yuanman Hu & Tuo Shi & Min Zong & M. Todd Walter, 2018. "Assessing the Impact of Urbanization on Direct Runoff Using Improved Composite CN Method in a Large Urban Area," IJERPH, MDPI, vol. 15(4), pages 1-14, April.

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