National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
The SCS-CN method has been widely used to estimate the surface runoff from rainfall-runoff events. However in North Western tract of India this is very poorly documented. So, the main objective of the study was to propose and select the best method for the computation of surface runoff including, new empirical method and to compare this by other approaches on the bases of Root mean square error (RMSE), Nash Sutcliffe efficiency (NSE), Coefficient of determination (R2), PB (Per cent biasness) and residual error. Rainfall-runoff data from Patiala-Ki-Rao and Saleran watershed was processed to compute the surface runoff. Five different methods including the original SCS-CN method were investigated and score was given to each method on the basis of different statistical performance tools. The results demonstrated that highest score was obtained by empirical method (M5), over the other methods i.e. 19 followed by M1 (13), M2 (11), M3 (9) and M4 (8). The results demonstrated that empirical method can be a better option in north western part of India for the estimation of the surface runoff.
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