Groundwater quality assessment for drinking water using fuzzy inference model (case study: Marvdasht Plain)

Document Type : Research Article

Authors

1 Assistant Professor, Faculty of New Sciences & Technologies, University of Tehran

2 null

Abstract

According to the capabilities of fuzzy method and its applications in a variety of engineering problems and decision-making under uncertainty, in this study, we compared the conventional methods is definitive and Mamdani fuzzy inference model. In this study, data from 30 deep and semi-deep wells in the year 1390 _ 1389 to assess the water quality of drinking plain water is used. And design a Fuzzy Inference System using membership functions and combines these functions according to the rules "if-then" fuzzy final quality of drinking water is determined. And later extended to the fuzzy and deterministic values, zoning groundwater quality index showed. The largest area dedicated to unacceptable quality for fuzzy inference method and 50.83 percent to 51.45 percent, is the definitive method. The desirable category in the definitive method and fuzzy 28.76 and 26.85 percent respectively and floor acceptable in certain ways and fuzzy, respectively, 19.79, 22.32 percent respectively. Fuzzy inference can be drawn that a suitable alternative method for assessing water quality associated with the uncertainty that has been taken into account.

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References

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Iranian journal of Ecohydrology
Volume 5, Issue 2
July 2018
Pages 663-673

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History

  • Receive Date: 22 July 2017
  • Revise Date: 07 April 2018
  • Accept Date: 04 January 2018
  • First Publish Date: 22 June 2018
  • Publish Date: 22 June 2018

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