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Excess Stormwater Quantification in Ungauged Watersheds Using an Event-Based Modified NRCS Model

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  • Muhammad Ajmal
  • Jae-Hyun Ahn
  • Tae-Woong Kim

Abstract

Quantifying runoff from a storm event is a crucial part of rainfall-runoff model development. The objective of this study is to illustrate inconsistencies in the initial abstraction (I a ) and curve number (CN) in the Natural Resources Conservation Service (NRCS) model for ungauged steep slope watersheds. Five alternatives to the NRCS model were employed to estimate stormwater runoff in 39 forest-dominated mountainous watersheds. The change to the parameterization (slope-adjusted CN and I a ) leads to more efficient modified NRCS models. The model evaluations based on root mean square error (RMSE), Nash-Sutcliffe coefficient E, coefficient of determination (R 2 ), and percent bias (PB) indicated that our proposed model with modified I a, consistently performed better than the other four models and the original NRCS model, in reproducing the runoff. In addition to the quantitative statistical accuracy measures, the proposed I a modification in the NRCS model showed very encouraging results in the scatter plots of the combined 1799 storm events, compared to other alternatives. This study’s findings support modifications to the CN and the I a in the NRCS model for steep slope ungauged watersheds and suggest additional changes for more accurate runoff estimations. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:4:p:1433-1448
    DOI: 10.1007/s11269-016-1231-z
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    References listed on IDEAS

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    1. K. Geetha & S. Mishra & T. Eldho & A. Rastogi & R. Pandey, 2008. "SCS-CN-based Continuous Simulation Model for Hydrologic Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(2), pages 165-190, February.
    2. S. Mishra & Anubhav Chaudhary & Raj Shrestha & Ashish Pandey & Mohan Lal, 2014. "Experimental Verification of the Effect of Slope and Land Use on SCS Runoff Curve Number," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3407-3416, September.
    3. 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.
    4. 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.
    5. 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.
    6. J. Patil & A. Sarangi & O. Singh & A. Singh & T. Ahmad, 2008. "Development of a GIS Interface for Estimation of Runoff from Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(9), pages 1221-1239, September.
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