مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

722
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

GROUNDWATER QUALITY ASSESSMENT FOR AGRICULTURAL PURPOSES USING FUZZY INFERENCE MODEL

Pages

  69-76

Abstract

 Nowadays, groundwater quality change and salinization of water resources is a major hazard to developing of agriculture, particularly in dry lands. In this study, the application of Fuzzy Set theory to evaluate quality of groundwater was studied. In recent years, fuzzy-logic-based methods have adjusted to spot uncertainty in environmental problems. In this study, the 49 groundwater samples of SARAB PLAIN in 2014 that analyzed in Hydrogeology laboratory of Tabriz University was used. Values of IRRIGATION INDICES including the Sodium Absorption Ratio, Permeability Index, the Kelley Ratio, Magnesium Adsorption Ratio, Residual Sodium Bicarbonate, Dissolved Sodium Percentage and Electrical Conductivity as an indicator of total dissolved solids in water are used in this research. Based onFuzzy Water Quality Model, the groundwater quality is classified in three categories; desirable, acceptable and unacceptable. Results showed 41 Samples come in desirable category with certainty level of 65 to 83 percent and 26 samples classified in the acceptable category whose certainty level ranged from 37 to 65.4 percent and the remaining three samples were in rejected category with the maximum certainty level of 23.4 percent.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    VADIATI, M., SGHARI MOGHADDAM, A.A., & NAKHAEI, M.. (2016). GROUNDWATER QUALITY ASSESSMENT FOR AGRICULTURAL PURPOSES USING FUZZY INFERENCE MODEL. IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING, 9(31), 69-76. SID. https://sid.ir/paper/134736/en

    Vancouver: Copy

    VADIATI M., SGHARI MOGHADDAM A.A., NAKHAEI M.. GROUNDWATER QUALITY ASSESSMENT FOR AGRICULTURAL PURPOSES USING FUZZY INFERENCE MODEL. IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING[Internet]. 2016;9(31):69-76. Available from: https://sid.ir/paper/134736/en

    IEEE: Copy

    M. VADIATI, A.A. SGHARI MOGHADDAM, and M. NAKHAEI, “GROUNDWATER QUALITY ASSESSMENT FOR AGRICULTURAL PURPOSES USING FUZZY INFERENCE MODEL,” IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING, vol. 9, no. 31, pp. 69–76, 2016, [Online]. Available: https://sid.ir/paper/134736/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top