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Title: Assessment of ground water quality in Guntur district using data preprocessing approach
Authors: Kamakshaiah Kolli, R. Seshadri
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2015
Volume: 10
Issue: 9
Language: English
Keywords: Ground water qualityPhysicochemical parameterswater quality analysisData-Mining techniques
In this paper we have made an attempt has to study water quality analysis in Guntur District. In Andrapradesh. In order to assess the detailed analysis of ground water quality has been carried out. Totally 31 water samples have been collected and tested for various physicochemical parameters such as pH, Temperature, Electrical Conductivity, Ammonical Nitrogen, Total Dissolved Solids, Total Hardness, Calcium, Magnesium, Chloride, Sulphate, Total Alkalinity, Fluoride, Sodium, Potassium, Total Phosphorus, Salinity, Total Nitrogen and Dissolved Oxygen. Correlations study was also carried out as it is an excellent tool for the prediction of parameter values within reasonable degree of accuracy. A systematic correlation study showed significant linear relationship among different pairs of water quality parameters. We have applied the Various Data-Mining techniques to analyze the ground water quality by taking a number of samples in various villages and cleanly synthesized the parameters on the water.
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