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Research Paper | Civil Engineering | India | Volume 5 Issue 1, January 2016

Analysis of Groundwater Quality Parameters Using Mamdani Fuzzy Inference System (MFIS)

Payal Prajapati | Dr. Falguni Parekh ^[5]

Abstract: The quality of groundwater is most important for human and irrigation in any area. For this purpose to analyse the problems of pollution hazards of groundwater and to ascertain its suitability for drinking purpose in Nadiad district. Various methods are used for analysis of groundwater quality but last few decades Mamdani Fuzzy Inference System is widely used which will able to tell about final ground water quality compared to deterministic method. For this study, 509 groundwater wells have been collected in pre monsoon season and 495 groundwater wells have been collected in post monsoon season. Various groundwater parameters viz. EC, TDS, PH, Cl and Ca are used for analyzed groundwater quality. In this paper various membership function viz. Desirable, Acceptable and Not acceptable are used and fuzzy logic rules are defined. . The result showed that only 37 wells are classified in Desirable class i. e.7.26 %, 286 Wells are in Acceptable class i. e.56.18 % and 186 wells are in Not acceptable class i. e.36.54 %. in pre monsoon season and only 49 Wells are classified in Desirable class i. e.9.89 %, 271 wells are in Acceptable Class i. e.54.74 % and 175 Wells are in Not acceptable class i. e.35.35 %. in post monsoon season.

Keywords: Acceptable, Fuzzy Logic, Groundwater, MFIS, Quality

Edition: Volume 5 Issue 1, January 2016,

Pages: 1335 - 1340

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