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Research Article

The significance of basin slope for curve number estimation and the impact on flood prediction in arid basins

, , &
Received 19 Oct 2023, Accepted 10 Apr 2024, Published online: 23 May 2024
 

ABSTRACT

The Natural Resources Conservation Service Curve Number (NRCS-CN) method was developed in agricultural basins with slopes less than or equal to 5%. This research investigates the relationship between the basin slope and runoff depth in arid basins by the NRCS-CN method. The results show that there is a clear effect of the proposed curve number equation with slope (the slope adjusted CN, CNIIα) on the runoff depth in the studied basins, and this is consistent with the literature. However, large basin areas with a high percentage of alluvium area and vegetation, and high infiltration rates, counteract the slope of the basin, and consequently the basin slope will not have a significant effect on runoff. The correlation coefficient of various developed equations varies between 0.89 and 0.93 and the root mean square error of runoff depth varies between 11 mm for λ = 0.2 and 5.2 mm for λ = 0.01.

Editor A. Fiori; Associate Editor A. Petroselli

Editor A. Fiori; Associate Editor A. Petroselli

Disclosure statement

No potential conflict of interest was reported by the author(s).

References

  • Abdulrazzak, M.J., 1995. Losses of flood water from alluvial channels. Arid Land Research and Management, 9 (1), 15–24.
  • Ajmal, M., et al. 2016. Runoff estimation using the NRCS slope-adjusted curve number in mountainous watersheds. Journal of Irrigation and Drainage Engineering, 142 (4), 4016002. doi:10.1061/(ASCE)IR.1943-4774.0000998.
  • Ajmal, M., et al. 2020. A pragmatic slope-adjusted curve number model to reduce uncertainty in predicting flood runoff from steep watersheds. Water, 12 (5), 1469. doi:10.3390/w12051469.
  • Ajmal, M., et al. 2023. Development and testing of updated curve number models for efficient runoff estimation in steep-slope watersheds. Journal of Hydrology, 617, 129049. doi:10.1016/j.jhydrol.2022.129049.
  • Ajmal, M. and Kim, T.W., 2015. Quantifying excess stormwater using SCS-CN–based rainfall runoff models and different curve number determination methods. Journal of Irrigation and Drainage Engineering, 141 (3), 4014058‏. doi:10.1061/(ASCE)IR.1943-4774.0000805.
  • Akbari, A., 2015. Slope adjustment of runoff curve number (CN) using advanced spaceborne thermal emission and reflection radiometer (ASTER) global digital elevation model (GDEM) for Kuantan river basin. In: Earth resources and environmental remote sensing/GIS applications VI. Vol. 9644. Prague, Czech Republic: Journal of Forest Science, Czech Academy of Agricultural Sciences, ‏343–353.
  • Akbarimehr, M. and Naghdi, R., 2012. Assessing the relationship of slope and runoff volume on skid trails (Case study: nav 3 district). Journal of Forest Science, 58 (8), 357–362. doi:10.17221/26/2012-JFS.
  • Ansari, T.A., Katpatal, Y.B., and Vasudeo, A.D., 2016. Spatial evaluation of impacts of increase in impervious surface area on SCS-CN and runoff in Nagpur urban watersheds, India. Arabian Journal of Geosciences, 9 (18), 1–15. doi:10.1007/s12517-016-2702-5.
  • Aquaveo, 2012. WMS user manual v10.1. Provo, UT, USA: Aquaveo. http://wmsdocs.aquaveo.com/WMS_User_Manual_(v10.1).pdf.
  • Baltas, E.A., Dervos, N.A., and Mimikou, M.A., 2007. Determination of the SCS initial abstraction ratio in an experimental watershed in Greece. Hydrology and Earth System Sciences, 11 (6), 1825–1829. doi:10.5194/hess-11-1825-2007.
  • Bartlett, M.S., et al. 2016. Beyond the SCS‐CN method: a theoretical framework for spatially lumped rainfall‐runoff response. Water Resources Research, 52 (6), 4608–4627. doi:10.1002/2015WR018439.
  • Chaplot, V.A. and Le Bissonnais, Y., 2003. Runoff features for interrill erosion at different rainfall intensities, slope lengths, and gradients in an agricultural loessial hillslope. Soil Science Society of America Journal, 67 (3), 844–851. doi:10.2136/sssaj2003.8440.
  • D’Asaro, F., Grillone, G., and Hawkins, R.H., 2014. Curve number: empirical evaluation and comparison with curve number handbook tables in Sicily. Journal of Hydrologic Engineering, 19 (12), 4014035. doi:10.1061/(ASCE)HE.1943-5584.0000997.
  • Deshmukh, D.S., et al. 2013. Estimation and comparision of curve numbers based on dynamic land use land cover change, observed rainfall-runoff data and land slope. Journal of Hydrology, 492, 89–101. doi:10.1016/j.jhydrol.2013.04.001.
  • Ebrahimian, M., et al. 2012. Runoff estimation in steep slope watershed with standard and slope-adjusted curve number methods. Polish Journal of Environmental Studies, 21 (5), 1191–1202.
  • Elfeki, A.M.M., et al. 2015. Incorporating transmission losses in flash flood routing in ephemeral streams by using the three-parameter Muskingum method. Arabian Journal of Geosciences, 8 (7), 5153–5165. doi:10.1007/s12517-014-1511-y.
  • Ewea, H.A., Elfeki, A.M., and Al-Amri, N.S., 2017. Development of intensity–duration–frequency curves for the Kingdom of Saudi Arabia. Geomatics, Natural Hazards and Risk, 8 (2), 570–584. doi:10.1080/19475705.2016.1250113.
  • Fang, H.Y., et al. 2008. Effect of rainfall regime and slope on runoff in a Gullied Loess region on the Loess Plateau in China. Journal of Environmental Management, 42 (3), 402–411.
  • Farran, M.M., Al‐Amri, N., and Elfeki, A.M., 2021b. Aquifer recharge from flash floods in the arid environment: a mass balance approach at the catchment scale. Hydrological Processes, 35 (8), e14318. doi:10.1002/hyp.14318.
  • Farran, M.M., et al. 2021a. A comparative study of the estimation methods for NRCS curve number of natural arid basins and the impact on flash flood predications. Arabian Journal of Geosciences, 14, 1–23.
  • Farran, M.M. and Elfeki, A.M., 2020a. Statistical analysis of NRCS curve number (NRCS-CN) in arid basins based on historical data. Arabian Journal of Geosciences, 13 (1), 1–15. doi:10.1007/s12517-019-4993-9.
  • Farran, M.M. and Elfeki, A.M., 2020b. Variability of the asymptotic curve number in mountainous undeveloped arid basins based on historical data: case study in Saudi Arabia. Journal of African Earth Sciences, 162, 103697. doi:10.1016/j.jafrearsci.2019.103697.
  • Farran, M.M. and Elfeki, A.M., 2020c. Evaluation and validity of the antecedent moisture condition (AMC) of Natural Resources Conservation Service-Curve Number (NRCS-CN) procedure in undeveloped arid basins. Arabian Journal of Geosciences, 13 (6), 1–17. doi:10.1007/s12517-020-5242-y.
  • Forootan, E., 2023. GIS-based slope-adjusted curve number methods for runoff estimation. Environmental Monitoring and Assessment, 195 (4), 489. doi:10.1007/s10661-023-11039-6.
  • Gajbhiye, S. and Mishra, S.K. (2012). Application of NRSC-SCS curve number model in runoff estimation using RS & GIS. In IEEE-International conference on advances in engineering, science and management (ICAESM-2012), Nagapattinam, Tamil Nadu, India. IEEE, ‏.346–352
  • Garg, V., et al. 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 (2), 141–159. doi:10.1504/IJHST.2013.057626.
  • Huang, M., et al. 2006. A modification to the soil conservation service curve number method for steep slopes in the Loess Plateau of China. Hydrological Processes: An International Journal, 20 (3), 579–589. doi:10.1002/hyp.5925.
  • Kichu, R., et al. 2023. Runoff estimation in steep slope forested Dzumah watershed of Upper Dhansiri, Nagaland using standard and modified curve number method. International Journal of Ecology and Environmental Sciences, 49 (6), 555–561. doi:10.55863/ijees.2023.2910.
  • Lal, M., Mishra, S.K., and Pandey, A., 2015. Physical verification of the effect of land feature and antecedent moisture on runoff curve number. Catena, 133, 318–327. doi:10.1016/j.catena.2015.06.001.
  • Lal, M., et al. 2017. Evaluation of the soil conservation service curve number methodology using data from agricultural plots. Hydrogeology Journal, 25 (1), 151‏. doi:10.1007/s10040-016-1460-5.
  • Mishra, S., et al. 2014. Experimental verification of the effect of slope and land use on SCS runoff curve number. Water Resources Management, 28 (11), 3407–3416. doi:10.1007/s11269-014-0582-6.
  • Mishra, S.K., Jain, M.K., and Singh, V.P., 2004. Evaluation of the SCS-CN-based model incorporating antecedent moisture. Water Resources Management, 18 (6), 567–589‏. doi:10.1007/s11269-004-8765-1.
  • Mishra, S.K. and Singh, V.P. 2002. SCS-CN-based hydrologic simulation package. In: V.P. Singh and D.K. Frevert, eds. Mathematical models in small watershed hydrology and applications. Vol. 80161. Littleton, CO: Water Resources Publications, 391–464.
  • Morbidelli, R., et al. 2018. Role of slope on infiltration: a review. Journal of Hydrology, 557, 878–886‏. doi:10.1016/j.jhydrol.2018.01.019.
  • Ogden, F.L., et al. 2017. Comment on “Beyond the SCS‐CN method: a theoretical framework for spatially lumped rainfall‐runoff response” by MS Bartlett et al. Water Resources Research, 53 (7), 6345–6350‏. doi:10.1002/2016WR020176.
  • Parissopoulos, G. and Wheater, H., 1992. Experimental and numerical infiltration studies in a wadi stream bed. Hydrological Sciences Journal, 37 (1), 27–37. doi:10.1080/02626669209492559.
  • Pishvaei, M.H., et al. 2020. Effects of hillslope geometry on spatial infiltration using the TOPMODEL and SCS-CN models. Hydrological Sciences Journal, 65 (2), 212–226‏. doi:10.1080/02626667.2019.1686636.
  • Ponce, V.M. and Hawkins, R.H., 1996. Runoff curve number: has it reached maturity? Journal of Hydrologic Engineering, 1 (1), 11–19‏. doi:10.1061/(ASCE)1084-0699(1996)1:1(11).
  • Sabzevari, T., 2010. Development of catchments geomorphological instantaneous unit hydrograph based on surface and subsurface flow response of complex hillslopes. Doctoral dissertation, Thesis (PhD). Islamic Azad University.
  • Sabzevari, T. and Noroozpour, S., 2014. Effects of hillslope geometry on surface and subsurface flows. Hydrogeology Journal, 22 (7), 1593‏. doi:10.1007/s10040-014-1149-6.
  • Sabzevari, T., et al. 2010. A steady-state saturation model to determine the subsurface travel time (STT) in complex hillslopes. Hydrology and Earth System Sciences, 14 (6), 891–900‏. doi:10.5194/hess-14-891-2010.
  • Sahu, R.K., Mishra, S.K., and Eldho, T.I., 2010. An improved AMC-coupled runoff curve number model. Journal of Hydrology Process, 24 (20), 2834–2839. doi:10.1002/hyp.7695.
  • Sahu, R.K., Mishra, S.K., and Eldho, T.I., 2012. Performance evaluation of modified versions of SCS curve number method for two watersheds of Maharashtra, India. ISH Journal of Hydraulic Engineering, 18 (1), 27–36. doi:10.1080/09715010.2012.662425.
  • Sahu, R.K., et al. 2007. An advanced soil moisture accounting procedure for SCS curve number method. Journal of Hydrology Process, 21 (21), 2872–2881.
  • Saudi Arabian Dames and Moore, 1988. Representative basins study for wadi: Yiba, Habwnah, Tabalah, Liyyah and Al-Lith (Main Report) Kingdom of Saudi Arabia. Ministry of Agriculture and Water, Water Resource Development Department.
  • Sharma, I., Mishra, S.K., and Pandey, A., 2022. Can slope adjusted curve number models compensate runoff underestimation in steep watersheds?: a study over experimental plots in India. Physics and Chemistry of the Earth, Parts A/B/C, 127, 103185. doi:10.1016/j.pce.2022.103185.
  • Sharpley, A.N. and Williams, J.R., 1990. EPIC-erosion/productivity impact calculator: 1, model documentation. USDA Technology Bull, 1759, 235.
  • Shi, Z.H., et al. 2009. Research on the SCS-CN initial abstraction ratio using rainfall-runoff event analysis in the Three Gorges Area, China. Catena, 77 (1), 1–7‏. doi:10.1016/j.catena.2008.11.006.
  • Soulis, K.X. and Valiantzas, J.D., 2013. Identification of the SCS-CN parameter spatial distribution using rainfall-runoff data in heterogeneous watersheds. Water Resources Management, 27 (6), 1737–1749. doi:10.1007/s11269-012-0082-5.
  • Tedela, N.H., et al. 2012. Runoff curve numbers for 10 small forested watersheds in the mountains of the eastern United States. Journal of Hydrologic Engineering, 17 (11), 1188–1198. doi:10.1061/(ASCE)HE.1943-5584.0000436.
  • USDA-NRCS, 2004. National engineering handbook: section 4: hydrology, soil conservation service. Washington, DC: USDA.
  • Valle Junior, L.C.G.D., Rodrigues, D.B.B., and Oliveira, P.T.S.D., 2019. Initial abstraction ratio and Curve Number estimation using rainfall and runoff data from a tropical watershed. Rbrh, 24, e5. doi:10.1590/2318-0331.241920170199.
  • Verma, S., et al. 2018. Efficacy of slope-adjusted curve number models with varying initial abstraction coefficient for runoff estimation. International Journal of Hydrology Science and Technology, 8 (4), 317–338. doi:10.1504/IJHST.2018.095534.
  • Wheater, H.S., et al. 1991a. A multivariate spatial-temporal model of rainfall in S.W. Saudi Arabia. I. Data characteristics and model formulation. Journal of Hydrology, 125 (3–4), 175–199. doi:10.1016/0022-1694(91)90028-G.
  • Wheater, H.S., et al. 1991b. A multivariate spatial-temporal model of rainfall in southwest Saudi Arabia. II regional analysis and long-term performance. Journal of Hydrology, 125 (3–4), 201–220. doi:10.1016/0022-1694(91)90029-H.
  • Woodward, D.E., et al. 2003. Runoff curve number method: examination of the initial abstraction ratio. In: World water & environmental resources congress 2003, Philadelphia, Pennsylvania. 23–26 June 2003, 1–10.
  • Yuan, Y., et al. 2014. Initial abstraction and curve numbers for semiarid watersheds in Southeastern Arizona. Hydrological Processes, 28 (3), 774–783. doi:10.1002/hyp.9592.

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