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DIFFERENT PERSPECTIVES OF GROUND WATER QUALITY PREDICTION

Abstract

Fresh water on the earth is unevenly distributed and is only about 1% of the total water available on the earth. But due to anthropogenic activities of man whole world is facing scarcity of quality water. Therefore knowledge about water, its availability, its quality, weather condition is much necessary. In order to handle enormous data volume, data mining techniques are essential. This paper presents perspectives of different authors for the prediction of water quality using different advanced techniques such as machine learning, artificial neural network, fuzzy logic etc.

 D.SHRUTHI , S.HARINATH

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