Surface runoff estimation using geographic information system and soil conservation service-curve number method for sub catchments of Karamadai, Tamil Nadu
##plugins.themes.bootstrap3.article.main##
Abstract
Water conservation becomes essential as the resource becomes scarcer. The most important step in managing water resources is estimating watershed runoff generated from rainfall, as the runoff and rainfall are the key factors in determining water availability for surface storage and groundwater recharge. So, this study is mainly focused on estimating the surface runoff generated from the three sub-catchments of Karamadai, Tamil Nadu, India, using the heavy to extreme daily rainfall events received in the study area within the span of 20 years (2000–2019). The study was performed in the ArcGIS environment using remote sensing data. The SCSCN (Soil Conservation Service-Curve Number) method was used to estimate surface runoff. The changes in the land use in each sub-catchment were analysed in each decade and studied for their impact on the runoff depth. The land use and land cover classification map of the study area was prepared from LISS III satellite imagery for the years 2006 and 2016 by using supervised classification. The curve number was assigned based on land use as well as the hydrologic soil group. The weighted curve number was calculated from the area under each land use and then used to calculate storm runoff. The maximum runoff occurred in 2011 in all the catchments of the Karamadai block. It was found that more runoff occurred in the Mandrai Pallam catchment compared to Periya Pallam and Pare Pallam, as the Mandrai Pallam catchment had less soil moisture retention capacity than the other two catchments. So, more priority must be given to this catchment while planning to implement the soil and water conservation measures.
##plugins.themes.bootstrap3.article.details##
##plugins.themes.bootstrap3.article.details##
Antecedent Moisture Condition, Curve Number, GIS, Hydrologic Soil group, Runoff
Askar, M.K. (2014). Rainfall-runoff model using the SCS-CN method and geographic information systems: A case study of Gomal River watershed. WIT Transactions on Ecology and the Environment, 178, 159–170. https://doi.org/10.2495/WS130141
Astuti, I.S., Sahoo, K., Milewski, A. & Mishra, D.R. (2019). Impact of land use land cover (LULC) Change on surface runoff in an increasingly urbanized tropical watershed. Water Resources Management, 33, 4087–4103. https://doi.org/10.1007/s11269-019-02320-w
Chen, J., Theller, L., Gitau, M.W., Engel, B. A. & Harbor, J.M. (2017). Urbanization impacts on surface runoff of the contiguous United States. Journal of Environmental Management, 187, 470–481. https://doi.org/10.1016/j.jenvman.2016.11.017
Du, X., Jian, J., Du, C. & Stewart, R.D. (2022). Conservation management decreases surface runoff and soil erosion. International Soil and Water Conservation Research, 10(2), 188–196. https://doi.org/10.1016/j.iswcr.202 1.08.001
Ferreira S.C., Mourato S., Kasanin-Grubin M., Ferreira A.J.D., Destouni G. & Kalantari Z. (2020). Effectiveness of nature-based solutions in mitigating flood hazard in a mediterranean peri-urban catchment. Water, 12(10), 2893. https://doi.org/10.3390/w12102893
Greene, R.G. & Cruise, J.F. (1995). Urban watershed modeling using geographic information system. J. Water Res. Planning and Manag. 121(4), 318–325. https://doi.org/10.1061/(ASCE)0733-9496(1995)121:4(318)
Hadid, B., Duviella, E., Chiron, P. & Archimede, B. (2019). A flood mitigation control strategy based on the estimation of hydrographs and volume dispatching. IFAC-PapersOnLine, 52(23), 17–22. https://doi.org/10.1016/j.ifacol.2019.11.003
Hawkins R.H. (1993). Asymptotic determination of runoff curve numbers from data. J Irrig. Drain. Eng. 119(2),334–345. 10.1061/(ASCE)0733-9437(1993)119:2(334)
Hu, S., Fan, Y. & Zhang, T. (2020). Assessing the effect of land use change on surface runoff in a rapidly urbanized city : A case study of the central area of Beijing. Land. 9, 17; doi:10.3390/land9010017
Kumar, P.S., Babu, M.J.R.K., Praveen, T.V. & Vagolu, V.K. (2010). Analysis of the runoff for watershed using SCS-CN method and geographic information systems. Int. J. Eng. Sci. and Tech., 2(8), 3947-3654.
Lewis, D., Singer, M.J. & Tate, K.W. (2000). Applicability of SCS curve number method for a California Oak woodlands watershed. Journal of Soil and Water Conservation, 55(2), 226–230.
Muneer, A.S., Afan, H.A., Kamel, A.H., & Sayl, K.N. (2022). Runoff mapping using the SCS-CN method and artificial neural network algorithm, Ratga Basin, Iraq. Arab J Geosci 15, 666. https://doi.org/10.1007/s12517-022-09954-y
Murmu, S. & Biswas, S. (2012). Application of remote sensing and GIS technique in runoff estimation of a catchment using SCS model. Proceedings of the Regional Conference of the International Network of Women Engineers & Scientists (INWES), New Delhi.
Ponce, V.M. & Hawkins, R.H. (1996). Runoff curve number: Has it reached maturity? Journal of Hydrologic Engineering, 1, 11-19. https://doi.org/10.1061/(ASCE)1084-0699(1996)1,1(11)
Rao, K. N. (2020). Analysis of surface runoff potential in ungauged basin using basin parameters and SCS‑CN method. Applied Water Science, 10(1), 1–16. https://doi.org/10.1007/s13201-019-1129-z
Sajikumar, N. & Remya, R.S. (2015). Impact of land cover and land use change on runoff characteristics. Journal of Environmental Management, 161, 460–468. https://doi.org/10.1016/j.jenvman.2014.12.041
Shrestha, S., Cui, S., Xu, L., Wang, L., Manandhar, B. & Ding, S. (2021). Impact of land use change due to urbanisation on surface runoff using GIS-Based SCS–CN method: A case study of Xiamen city, China. Land, 10, 839. https://doi.org/10.3390/land10080839
Singh, G. (2014). Remote sensing and GIS approach for estimation of runoff of Shakkar river watershed. M Tech.(Ag. Eng) thesis, College of Agricultural Engineering.
Subramanya, K. (2008). Engineering Hydrology. Tata McGraw Hill, 3rd edition, pp.139-195.
Tasdighi, A., Arabi, M. & Harmel, D. (2018). A probabilistic appraisal of rainfall runoff modeling approaches within SWAT in mixed land use watersheds. J. Hydrol. 564:476-489. https://doi.org/10.1016/j.jhydrol.2018.07.035.
Tsihrintzis, V.A. & Hamid, R. (1997). Modeling and management of urban stormwater runoff quality: A review. Water Resources Management, 11, 136-164.
https://doi.org/10.1023/A:1007903817943
United States Department of Agriculture (1986). Urban hydrology for small watersheds, TR-55, United States Department of Agriculture, 210-VI-TR-55, 2nd edn., June1986.
Verma, R. K., Verma, S., Mishra, S. K. & Pandey, A. (2021). SCS-cn based improved models for direct surface runoff estimation from large rainfall events. Water Resources Management, 35:2149–2175. https://doi.org/10.1007/s11269-021-02831-5
Viji, R., Prasanna, P.R. & Ilangovan, R. (2015). GiS based SCS - CN method for estimating runoff in Kundahpalam watershed, Nilgries District, Tamilnadu. Earth Sciences Research Journal, 19(1), 59–64. https://doi.org/10.15446/esrj.v19n1.44714
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This work is licensed under Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) © Author (s)
