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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.2018.7(1): 2162-2172
DOI: https://doi.org/10.20546/ijcmas.2018.701.260


Calibration and Validation of Swat Model for Kunthipuzha Basin Using SUFI-2 Algorithm
Tejaswini* and K.K. Sathian
Department of Land and Water Resources and Conservation Engineering, KCAET,Tavanur-679573, Malappuram, Kerala, India
*Corresponding author
Abstract:

Calibration and validation are the two important processes needed to perform for physically based distributed watershed models before their use for hydrologic calculations. The present study was conducted to calibrate the SWAT model for Kunthipuzha basin using SUFI-2 algorithm in SWAT-CUP package. SUFI-2 algorithm accounts for most sources of uncertainties and it is also easy to handle. By considering these advantages and based on recommendation of many researchers, Sequential Uncertainty Fitting procedure (SUFI-2) was selected in this study for sensitivity analysis, calibration and validation of the model. SUFI-2 also got provision for performing both type of sensitivity analysis such as one-at-a time and global sensitivity analysis. In this study, both one-at-a time and global sensitivity analysis was conducted. Calibration was done for a period of 7 years starting from 2000 to 2006, whereas, validation was done for a 3 year period starting from 2007 to 2009. The values of statistical indices such as NSE and R2 were 0.81, 0.82 for calibration period and 0.73, 0.88 for validation period respectively which indicates the “very good” performance of the model in simulating hydrology. The p-factor and r- factor were 0.69 and 0.47 for calibration period, 0.57 and 0.51 for validation period respectively. SUFI-2 was found to be very convenient and easy to use than the other automatic calibration techniques.


Keywords: SWAT, SUFI-2, NSE, R2, p-factor, r-factor, Calibration and validation
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How to cite this article:

Tejaswini, V. and Sathian, K.K. 2018. Calibration and Validation of Swat Model for Kunthipuzha Basin Using SUFI-2 Algorithm.Int.J.Curr.Microbiol.App.Sci. 7(1): 2162-2172. doi: https://doi.org/10.20546/ijcmas.2018.701.260