Runoff estimation in steep slope forested Dzumah watershed of Upper Dhansiri, Nagaland using standard and modified Curve Number method
Abstract
In the present study, an attempt was made to assess the suitability of both the standard and modified NRCS-CN method in determining the amount of runoff in a steep slope watershed. Based on recent findings and improvements, the modification to the standard CN method consisted of integrating slope factor and adjustment of λ value in the initial abstraction (Ia) parameter from the traditional constant value of 0.2 to 0.05. The study was carried out in Dzumah watershed of Upper Dhansiri in Nagaland, northeastern India. Rainfall-runoff events were studied for two years i.e., 2019 to 2020 using both the standard and modified CN method.The runoff depths estimated by the standard CN method for 2019 and 2020 were only 109.95 mm and 33.25 mm, representing just 9.49% and 3.78% of total rainfall received in each year. On the other hand, the modified CN method estimated runoff depths of 505.34 and 340.97 mm, which was 43.60 and 38.76 % of the total rainfall received during 2019 and 2020. Rainfall-runoff correlation studies also revealed that the modified CN method showed better correlation with R2 values of 0.858 and 0.944 as compared to the standard CN method with R2 values of 0.166 and 0.650 during 2019 and 2020, respectively.The study indicated that standard CN method is inadequate for runoff estimation from steep slope forested watersheds. Integration of slope factor and λ value adjustments to standard CN method gave better runoff estimates as well as better rainfall-runoff correlation as compared to the standard CN method.
Keywords
References
Ajmal, M., Waseem, M., Kim, D. and Kim, T.W. 2020. A pragmatic slope-adjusted curve number model to reduce uncertainty in predicting flood runoff from steep watersheds. Water, 12, 1469.
Ajmal, M., Waseem, M., Kim, H.S. and Kim, T.W. 2016. Runoff estimation using the NRCS slope-adjusted curve number in mountainous watersheds. Journal of Irrigation Drainage and Engineering, 142, 1-12.
Al-Ghobari, H., Dewidar, A. and Alataway, A. 2020. Estimation of surface water runoff for a semi-arid area using RS and GIS-based SCS-CN method. Water, 12, 1924.
Ansari, T.A., Katpatal, Y.B. and Rishma, C. 2020. A Historical Review of Slope Based SCS Method and its Effect on CN and Runoff Potential Globally. Preprints, 2020100024. doi: 10.20944/preprints202010.0024.v1
Beck, H.E., de Jeu, R.A.M., Schellekens, J., van Dijk, A.I.J.M. and Bruijnzeel, L.A. 2009. Improving curve number based storm runoff estimates using soil moisture proxies. Journal of Selected Topics in Applied Earth Observation, 2(4), 250-259.
Carsel, R., Imhoff, J., Hummel, P., Cheplick, J. and Doniga, A. 1997. PRZM 3.1 Users Manual, National Exposure Research Lab, Office of Research and Development, US Environmental Protection Agency, Athens, Georgia.
Dhawale, A.W. 2013. Runoff estimation for Darewadi watershed using RS and GIS. International Journal of Recent Technology and Engineering, 1(6), 46-50.
Ebrahimian, M., Nurruddin, A.A.B., Soom, M.A.B., Sood, A.B. and Neng, L.G. 2012. Runoff estimation in steep slope watershed with standard and slope-adjusted curve number methods. Polish Journal Environmental Studies, 21(5), 1191-1202.
Feldman, A. 2000. Hydrologic Modeling System (HEC-HMS): Technical Reference Manual, U.S. Army Corps of Engineers: Washington DC.
Gajbhiye, S. and Mishra, S.K. 2012. Application of NRSC-SCS curve number model in runoff estimation using RS & GIS. PP. 346-352, In: IEEE-International conference on advances in engineering, science and management (ICAESM-2012).
Hawkins, R.H., Hjelmfelt, A.T. and Zevenbergen, A.W. 1985. Runoff probability, storm depth, and curve numbers. Journal of Irrigation and Drainage Engineering, 111(4), 330-340.
Hawkins, R.H., Theurer, F.D. and Rezaeianzadeh, M. 2019. Understanding the basis of the curve number method for watershed models and TMDLs. Journal of Hydrologic Engineering, 24(7), 06019003. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001755
Huang, M., Jacgues, G., Wang, Z. and Monique, G. 2006. A modification to the soil conservation service curve number method for steep slopes in the Loess plateau of China. Hydrological Processes, 20(3), 579-589.
Jacobs, J.H. and Srinivasan, R. 2005. Effects of curve number modification on runoff estimation using WSR-88D rainfall data in Texas watersheds. Journal of Soil and Water Conservation, 60(5), 274-279.
Kichu, R. and Dutta, M. 2022. Assessment of soil erosion using GIS and remote sensing techniques in Dzumah watershed of upper Dhansiri, Nagaland. The Pharma Innovation Journal, 11(9), 2266-2273.
Kichu, R., Dutta, M., Nayak, R.C. and Hangshing, L. 2022. Quantitative morphometric analysis of Dzumah watershed of Upper Dhansiri, Nagaland, India. Indian Journal of Ecology, 49(3), 837-842.
Knisel, W.G. 1980. CREAMS: a field-scale model for chemical, runoff and erosion from agricultural management systems. Conservation Research Report No. 26, South East Area, US Department of Agriculture, Washington, DC.
Lim, K.J., Engel, B.A., Muthukrishnan, S. and Harbor, J. 2006. Effects of initial abstraction and urbanization on estimated runoff using CN technology. Journal of the American Water Resources Association, 42, 629-643.
Neitsch, S.L., Arnold, J.G., Kiniry, J.R., Williams, J.R. and King, K.W. 2002. Soil and Water Assessment Tool (SWAT): Theoretical Documentation, Version 2000, Texas Water Resources Institute, College Station, Texas, TWRI Report TR-191.
Ross, C.W., Prihodko, L., Anchang, J., Kumar, S., Ji, W. and Hanan, N.P. 2018. HYSOGs250m, global gridded hydrologic soil groups for curve-number-based runoff modeling. Scientific Data, 5, 180091. https://doi.org/10.1038/sdata.2018.91
Sharpley, A.N. and Williams, J.R. 1990. EPIC- Erosion/Productivity Impact Calculator: 1. Model Documentation, US Department of Agriculture Technical Bulletin No. 1768.US Government Printing Office, Washington, DC.
Shi, Z.H., Chen, L.D., Fang, N.F., Qin, D.F. and Cai, C.F. 2009. Research on the SCS-CN initial abstraction ratio using rainfall-runoff event analysis in the Three Gorges Area, China. Catena, 77, 1–7.
Tailor, D. and Shrimali, N.J. 2016. Surface runoff estimation by SCS curve number method using GIS for Rupen-Khan watershed, Mehsana district, Gujarat. Journal of Indian Water Resources Society, 36(4), 1-5.
Topno, A.; Singh, A.K. and Vaishya, R.C. 2015. SCS-CN runoff estimation for Vindhyachal region using remote sensing and GIS. International Journal of Advanced Remote Sensing and GIS 4(1): 1214-1223.
USDA-NRCS. 1986. Urban hydrology for small watersheds, Technical Release 55, Springfield, VA: National Technical Information Service.
Verma, S., Singh, A., Mishra, S.K., Singh, P.K. and Verma, R.K. 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.
Woodward, D.E., Hawkins, R.H., Jiang, R., Hjelmfelt, A.T. Jr., Van Mullem, J.A. and Quan, Q.D. 2003. Runoff curve number method: Examination of the initial abstraction ratio. World Water & Environment Resources, in: Congress 2003 and Related Symposia, EWRI, ASCE, Philadelphia, Pennsylvania, USA.
Young, R.A., Onstad, C.A., Bosch, D.D. and Anderson, W.P. 1989. AGNPS: a nonpoint-source pollution model for evaluating agricultural watersheds. Journal of Soil and Water Conservation, 44(2), 168-173.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.
COPYRIGHT of this Journal vests fully with the National Instional Institute of Ecology. Any commercial use of the content on this site in any form is legally prohibited.
International Journal of Ecology and Environmental Sciences