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Experimental Verification of the Effect of Slope and Land Use on SCS Runoff Curve Number

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  • S. Mishra
  • Anubhav Chaudhary
  • Raj Shrestha
  • Ashish Pandey
  • Mohan Lal

Abstract

The present study investigates experimentally the effect of watershed (i.e. field plot of 22 m × 5 m) slope on rainfall-generated runoff and, in turn, the runoff curve numbers (CN) resulting from field plots (with land use of maize and sugarcane on the soil falling in Hydrologic Soil Group C) located in Roorkee, (India). The results indicated that the plot of 5 % slope yielded the largest runoff and, in turn, CN compared to those due to the plots of 3 and 1 % grades, for the same rainfall, soil, and land use. The CN derived from the present study were quite close to the NEH-4 CN-values, indicating satisfactory match between the two. The use of slope adjusted CN-values in the standard CN method significantly (at 5 % level) improved the otherwise underestimated large runoff events, i.e. model efficiency E improved from 0.47 to 0.78, and R 2 from 0.71 to 0.83. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:11:p:3407-3416
    DOI: 10.1007/s11269-014-0582-6
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    Citations

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    Cited by:

    1. Dariusz Młyński & Andrzej Wałęga, 2020. "Identification of the Relationship between Rainfall and the CN Parameter in Western Carpathian Mountain Catchments in Poland," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    2. Xinyi Zhang & Qiande Zhu & Jing Sang & Xiaowen Ding, 2022. "Effects of rainfall and the slope gradient on the soil and water loss in a purple soil area," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 17(4), pages 232-242.
    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. 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.

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