Abstract
The soil conservation service curve number (SCS-CN) method is one of the most commonly used methods to compute the direct runoff from a rainfall event. Since the method was established, numerous researches were undertaken to improve the method through accurate estimation of its parameter and especially the curve number (CN). However, the essence of the SCS method, as an event-based Hortonian mechanism method, remained unchanged. The main assumption of the method related to the rainfall input is that the rainfall is continuous in time and uniform over the watershed. Mohammad and Adamowski (2015) paper apparently used the SCS method to estimate the annual runoff using the annual rainfall as one cumulative rainfall input value, which is a violation of the event-based principle of the method and of the assumption of the continuity of the rainfall event.
To re-estimate the average annual runoff more realistically for the Asir region, Saudi Arabia, daily rainfall data from 14 rainfall stations are used for calculating the resulting runoff depths, on a daily event-by-event rainfall basis, throughout the whole simulation period. The resulting runoff depths are added for each year, and the total cumulative annual runoff values for each year are averaged to get the average annual runoff. The runoff values based on the previously mentioned procedure are an upper limit of the actual average annual runoff as the underlying SCS equations discard evaporation and similar long-term losses. Nevertheless, the average runoff values obtained in the discussion paper are an order of magnitude (at least five to tenfold) lower than the ones of the original paper. An equation is proposed to obtain a more realistic estimate of the average annual runoff, to be used with the average annual rainfall as an input, if the annual value is the only available rainfall information.
Similar content being viewed by others
References
Ajmal M, Waseem M, Ahn J-H, Kim T-W (2016) Runoff estimation using the NRCS slope-adjusted curve number in mountainous watersheds. J Irrig Drain Eng 142:04016002
Awadallah AG, Saad H, Elmoustafa A, Hassan A (2016) Reliability assessment of water structures subject to data scarcity using the SCS-CN model. Hydrol Sci J 61:696–710
Choi JY, Engel BA, Chung HW (2002) Daily streamflow modelling and assessment based on the curve-number technique. Hydrol Process 16:3131–3150
Deshmukh DS, Chaube UC, Hailu AE, Gudeta DA, Kassa MT (2013) Estimation and comparison of curve numbers based on dynamic land use land cover change, observed rainfall-runoff data and land slope. J Hydrol 492:89–101
Garg V, Nikam BR, Praveen K. Thakur PK, Aggarwal SP (2013) Assessment of the effect of slope on runoff potential of a watershed using NRCS-CN method. International Journal of Hydrology Science and Technology 3:141–159
Geetha K, Mishra SK, Eldho TI, Rastogi AK, Pandey RP (2007) Modifications to SCS-CN method for long-term hydrologic simulation. J Irrig Drain Eng 133:475–486
Geetha K, Mishra S, Eldho T, Rastogi A, Pandey R (2008) SCS-CN-based continuous simulation model for hydrologic forecasting. Water Resour Manag 22:165–190
Harris I, Jones PD, Osborn TJ, Lister DH (2014) Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 dataset. Int J Climatol 34:623–642
Huang MB, Gallichand J, Wang Z, Goulet M (2006) A modification to the soil conservation service curve number method for steep slopes in the loess plateau of China. Hydrol Process 20:579–589
Huff FA (1967) Time distribution of rainfall in heavy storms. Water Resour Res 3:1007–1019
Knisel WG (1980) CREAMS: a field scale model for chemicals, runoff and erosion from agricultural management systems. US Dept. of Agriculture, Washington, DC
Mishra SK, Singh VP (2003) Soil conservation service curve number (SCS-CN) methodology, 1st edn. Kluwer Academic Publishers, London
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 SK, Chaudhary A, Shrestha RK, Pandey A, Lal M (2014) Experimental verification of the effect of slope and land use on SCS runoff curve number. Water Resour Manag 28:3407–3416
Mohammad FS, Adamowski J (2015) Interfacing the geographic information system, remote sensing, and the soil conservation service - curve number method to estimate curve number and runoff volume in the Asir region of Saudi Arabia. Arab J Geosci 8:11093–11105
Pike JG (1964) The estimation of annual run-off from meteorological data in a tropical climate. J Hydrol 2:116–123
Ponce VM, Hawkins RH (1996) Runoff curve number: has it reached maturity? J Hydrol Eng 1:11–19
Shafiq M, Ahmad B (2001) Surface runoff as affected by surface gradient and grass cover. Journal of Engineering and Applied Sciences 20:88–92
Sharpley AN, Williams JR (1990) EPIC-erosion/productivity impact calculator: 1. Model documentation. USDA tech. Bull. No. 1768. US Dept. of Agriculture, Washington, DC
Subyani AM (2004) Geostatistical study of annual and seasonal mean rainfall patterns in southwest Saudi Arabia. Hydrol Sci J 49:803–814
Turc L (1954) Le bilan d’eau des sols. Relations entre les précipitations, l’évaporation et l’écoulement. Ann Agronomy 5:491–596
USDA (1972) Hydrology In: National engineering handbook. US Dept. of Agriculture Washington, DC: Soil Conservation Service
USDA (1986) Urban hydrology for small watersheds. US Dept. of Agriculture technical release 55. National Resources Conservation Service, Washington, DC
Van Mullem JA (1989) Runoff and peak discharges using green-Ampt infiltration model. J Hydraul Eng 117:354–370
Williams JR, LaSeur WV (1976) Water yield model using SCS curve numbers. J Hydraul Div 102:1241–1253
Woodward DE, Gburek WJ (1992) Progress report ARS/SCS curve number work group, proceedings ASCE water forum '92. ASCE, New York, pp 378–382
Woodward DE, Hawkins RH, Jiang R, Hjelmfelt AT, Van Mullem JA, Quan QD (2004) Runoff curve number method: examination of the initial abstraction ratio, In Proceedings of the World Water and Environmental Resources Congress and Related Symposium. ASCE Publications: Philadelphia, PA
Yuan Y, Nie W, McCutcheon SC, Taguas EV (2014) Initial abstraction and curve numbers for semiarid watersheds in southeastern Arizona. Hydrol Process 28:774–783
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Awadallah, A.G., Farahat, M.S. & Haggag, M. Discussion of “Interfacing the geographic information system, remote sensing, and the soil conservation service-curve number method to estimate curve number and runoff volume in the ASIR region of Saudi Arabia” by Fawzi S. Mohammad, Jan Adamowski. Arab J Geosci 10, 214 (2017). https://doi.org/10.1007/s12517-017-2984-2
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12517-017-2984-2