Abstract
Runoff is an important and valuable variable used in planning of water resources and design of hydraulic structures. A number of models have been developed to calculate runoff from a rainfall event. The Soil Conservation Service Curve Number (SCS-CN) methodology is one of the most widely accepted event-based methods and is extensively used for estimation of surface runoff for a known precipitation event from small un-gauged agricultural watersheds. The model is satisfactorily established in hydrologic engineering. The main cause for its wide applicability lies in the fact that it is easy to use, and it incorporates major runoff generating watershed characteristics: soil type, land use, surface condition, and AMC. The only parameter curve number CN is critical for exact runoff prediction. According to the SCS-CN concept, the runoff quantity agricultural watershed depends on the above four major watershed characteristics. The CN values resulting from exhaustive investigations in the United States for all soil and land uses have been investigated and reported in National Engineering HandbookChapter-4 (NEH-4). Since the inception of SCS-CN method, only a few or no efforts appear to have been made to justify curve number rationality to watersheds in other countries. The slope was excluded in its original development, and it is included as a factor in the recently developed new models. Investigations were carried out on agricultural plot of size (12.0 × 3.0 m2) located Toda Kalyanpur, Uttarakhand, India to calculate the effect of slope, soil type, AMC, and land use on the runoff and runoff curve number in selected three grades of 8, 12, and 16% with same Hydrologic Soil Group (HSG) “A.” There were nine0 plots of three land uses, maize, finger millet, and fallow lands for investigation. As expected, the conclusion of land use on runoff curve number was such that the fallow lands showed the largest runoff and the CN values. With the increase of slope, the CN and runoff quantity increased which we got in 16% slope, fallow land. The effect of soil was more prominent than the slope. The soil was, however, the same for all experimental plots, i.e. HSG-A. The SCS-CN parameter potential maximum retention (S) showed an inverse relation with the measured AMC value.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bhuniya PK, Mishra SK, Berndtsson R (2003) Discussion on the estimation of the confidence interval for CN. Journal of Hydrologic Engineering, ASCE 8(4):232–233
Chaudhary A, Mishra SK, Pandey A (2013) Experimental Verification of Effect of Slope on CN. Journal of Indian Water Resources Society 33(1):40–46
Hawkins H, Hjelmfelt AT Jr, Zevenbergen W (1985) Runoff Probability, storm depth, and CN. Journal of Irrigation and Drainage Engineering, ASCE 111(4):330–339
Hawkins RH (1979) CN from partial area watersheds. Journal of Irrigation and Drainage Engineering Division, ASCE 105(HY4):375–389
Hjelmfelt AT Jr (1991) Investigation of CN procedures. Hydraulic Engineering Division, ASCE 117(6):725–737
Hjelmfelt AT Jr (1980) CN procedure as infiltration method. Journal of Hydraulics Division, ASCE 106(HY6):1107–1110
Huang M, Jacgues G, Wang Z, Monique G (2006) A modification to the SCS-CN method for steep slopes in the Loess Plateau of China. Hydrol Process 20(3):579–589
Hydrology, (1985) National Engineering Handbook. Supplement A, Sect, p 4
Jain MK, Mishra SK, Babu PS, Venugopal K, Singh VP (2006) An enhanced CN model incorporating storm duration and non-linear Ia-S relation. Journal of Hydrologic Engineering, ASCE 11(6):631–635
McCuen RH (1982) A guide to hydrologic analysis using SCS Methods. Prentice-Hall Inc., Englewood Cliffs, New Jersey
Mishra SK, Singh VP (2002) “SCS-CN based hydrologic simulation package. In: Singh VP, Frevert DK (eds) Mathematical models in small watershed hydrology”. Water Resources Publication, Littleton, Co, pp 391–464
Mishra SK, Singh VP (2004) Validity and extension of the SCS-CN method for computing infiltration and rainfall-excess rates. Hydrol Process 18:3323–3345
Mishra, S.K., and Singh, V.P (2013), “Soil conservation SCS-CN methodology (Vol.42)”, .Springer Science & Business Media
Mishra, S.K., A. Pandey, & V.P. Singh, (2012) “Special Issue on SCS-CN Methodology”. Journal of Hydrologic Engineering, ASCE, Nov. 2012.
Mishra SK, Jain MK, Pandey RP, Singh VP (2005) watershed area- based evaluation of the AMC-dependent SCS-CN-based rainfall-runoff models. Hydrol Process 19:2701–2718
Mishra SK, Tyagi JV, Singh VP, Singh R (2006) SCS-CN-based modelling of sediment yield. J Hydrol 324:301–322
Mishra, S.K., Rawat, S.S., Pandey, R.P., Chakraborty, S., Jain, M.K., and Chaube, U.C. (2012)."The relation between CN and PET”. Journal of Hydrologic Engineering, Manuscript HEENG-1496.
Ponce VM, Hawkins RH (1996) “CN: Has It Reached Maturity?”Journal of Hydrologic Engineering. ASCE 1:11–19
SCS (1986) 2003)’,Hydrology’, National Engineering Handbook, Supplement A, Section 4, Chapter 10. Soil Conservation Service, USDA, Washington, D.C.
Swain S, Verma MK, Verma MK (2018) Streamflow estimation using SWAT model over Seonath River Basin, Chhattisgarh, India. In: Hydrologic modelling, water science and technology library, vol 81. Springer Singapore, pp 659–665
Swain S, Patel P, Nandi S (2017a) Application of SPI, EDI and PNPI using MSWEP precipitation data over Marathwada, India. In: Geoscience and remote sensing symposium (IGARSS) 2017, pp 5505–5507
Swain S, Patel P, Nandi S (2017b) A multiple linear regression model for precipitation forecasting over Cuttack district, Odisha, India. In: 2nd International conference for Convergence in Technology (I2CT) 2017. IEEE, pp 355–357
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Singh, C.B., Kumre, S.K., Mishra, S.K., Singh, P.K. (2021). Effect of Land Use on Curve Number in Steep Watersheds. In: Pandey, A., Mishra, S., Kansal, M., Singh, R., Singh, V. (eds) Water Management and Water Governance. Water Science and Technology Library, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-030-58051-3_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-58051-3_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-58050-6
Online ISBN: 978-3-030-58051-3
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)