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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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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

Int.J.Curr.Microbiol.App.Sci.2017.6(6): 649-662
DOI: https://doi.org/10.20546/ijcmas.2017.606.077


Performance Evaluation of Different Runoff Estimation Methods in North Western Tract of India
Sumita Chandel1*, M.S. Hadda1, Pratima Vaidya2 and A.K. Mahal3
1Department of Soil Science, Punjab Agricultural University, Ludhiana, Punjab-141004, India
2Department of Environmental Science, Dr. Y S Parmar University of Horticuture and Forestry, Nauni, Solan-173230, India
3Department of Mathematics, Statistics and Physics, Punjab Agricultural University,Ludhiana, Punjab-141004, India
*Corresponding author
Abstract:

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.


Keywords: Empirical method, Nash Sutcliffe Efficiency (NSE), Root Mean Square Error (RMSE), SCS-CN and Surface runoff.
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How to cite this article:

Sumita Chande, M. S. Hadda, Pratima Vaidya and Mahal A. K. 2017. Performance evaluation of different runoff estimation methods in north western tract of India.Int.J.Curr.Microbiol.App.Sci. 6(6): 649-662. doi: https://doi.org/10.20546/ijcmas.2017.606.077