Literature DB >> 20388995

Determination of water quality index by fuzzy logic approach: a case of ground water in an Indian town.

A M Jinturkar1, S S Deshmukh, S V Agarkar, G R Chavhan.   

Abstract

The paper proposes fuzzy logic model that deals with the physico-chemical water analysis of ground water of Chikhli town for determination of Water Quality Index (WQI). The study was carried by collection of ground water samples from about eleven hand pumps located in this town. Ground water quality is studied by systematic collection and analysis of samples. The fuzzy logic is used for the deciding the water quality index on the basis of which, water quality rankings are given to determine the quality of water. The Water Quality Index presented here is a unitless number ranging from 1 to 10. A higher number is indicative of better water quality. Around 81% of samples were found suitable for drinking purpose. It is also observed that all the parameters fall within the permissible limits laid by WHO, ISI, and ICMR, except Total Hardness, Calcium and Magnesium. The quality parameters were compared with standards laid by the World Health Organization (WHO), Indian Standards Institute (ISI) and Indian Council of Medical Research (ICMR) for drinking water quality.

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Year:  2010        PMID: 20388995     DOI: 10.2166/wst.2010.095

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  1 in total

1.  A two-stage fuzzy chance-constrained water management model.

Authors:  Jiaxuan Xu; Guohe Huang; Zoe Li; Jiapei Chen
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-30       Impact factor: 4.223

  1 in total

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