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Research Journal of Environmental Sciences
  Year: 2008 | Volume: 2 | Issue: 5 | Page No.: 340-352
DOI: 10.3923/rjes.2008.340.352
 
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Evaluation of Irrigation Water Quality Using Fuzzy Logic

R. Mirabbasi, S.M. Mazloumzadeh and M.B. Rahnama

Abstract:
In this study, the United States Salinity Laboratory diagram has been convert to the continuous form and then the concentration values of Electrical Conductivity (EC) and Sodium Adsorption Ratio (SAR) combined together by a Fuzzy Inference System (FIS). Finally, ground water quality of Sirjan plain aquifer in Iran has been classified for irrigation purpose by proposed methods. Results obtained from FIS showed 84% general agreement with the results from the USSL diagram evaluation. Results showed that water quality classification with proposed method is more precise in comparison with USSL diagram classification and it improved error effects in hydro chemical experiments.
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How to cite this article:

R. Mirabbasi, S.M. Mazloumzadeh and M.B. Rahnama, 2008. Evaluation of Irrigation Water Quality Using Fuzzy Logic. Research Journal of Environmental Sciences, 2: 340-352.

DOI: 10.3923/rjes.2008.340.352

URL: https://scialert.net/abstract/?doi=rjes.2008.340.352

COMMENTS
23 November, 2013
amr sadek:
i,d like to apply fuzzy logic in my researches
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