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Research Paper | Civil Engineering | India | Volume 4 Issue 7, July 2015 | Rating: 7.1 / 10
Analysis of Ground Water Quality of Sangli-Miraj-Kupwad Industrial Area by Correlation And Regression Method
Vasanti S. Sadamate | Hema Patel [5]
Abstract: The present study was carried out to assist find impact of industrial activities on the ground water quality in Sangli-Miraj-Kupwad Industrial area. The total area taken under study is 390.11 Hectares.17 representative samples were collected from various sources such as bore well and surface water for analysis of physico-chemical and biological parameters. The physical parameters such as pH, Electrical Conductivity (EC), Total dissolved solids (TDS), Turbidity, Total Hardness, Magnesium, Sodium, Potassium, Sulphate, Nitrate, Chlorine were analyzed. Heavy Metals such as Copper, Ferrous, Cadmium, Mercury, Lead and Arsenic were analyzed to know the present situation of ground water quality. Results were compared with World Health Organization (WHO) and Bureau of Indian Standards (BIS). Ground water was found to be polluted at few sample collection sites and also heavy metals concentration such as Mercury, Arsenic and Lead are more than the standard limits. At present groundwater is not used for drinking purpose. The Correlation and Regression method for prediction of parameter values within reasonable degree of accuracy.
Keywords: Groundwater, water quality, bore well, water supply, correlation, regression method
Edition: Volume 4 Issue 7, July 2015,
Pages: 584 - 587