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标题：Correlation-regression model for physico-chemical quality of groundwater in the South Indian city of Gulbarga
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作者：Abdul Saleem ; Mallikarjun N. Dandigi ; K. Vijay Kumar 等
期刊名称：African Journal of Environmental Science and Technology
电子版ISSN：1996-0786
出版年度：2012
卷号：6
期号：9
页码：353-364
DOI：10.5897/AJEST12.047
语种：English
出版社：Academic Journals
摘要：Groundwater is a major source of municipal and private water supply in Gulbarga city. Water samples were collected from spatially referenced bore wells located in various wards of the city. 150 bore well water samples were analyzed for electrical conductivity (EC), pH, total dissolved solids (TDS), total hardness (TH), Ca2+, Mg2+, Na+, K+, HCO3-, CO32-Clˉ, SO42-,NO3ˉ, F and Fe. All tests were performed as per standard methods and water quality was compared for both Indian and WHO drinking water standards. Significantly positive correlation at 1 and 5% was found between many parameters. EC prediction with multiple R2value of 0.999 indicated that 99.9% variability in observed EC could be ascribed to Clˉ (76%), HCO3ˉ(12.5%), NO3-(10.3%) and SO42-(1.1%). Multiple regression models can predict EC at 5% level of significance. Nitrate, chlorides, TDS and fluoride concentration exceed permissible level of drinking water in 75, 41, 95 and 3.33% of the samples respectively. It is recommended to treat groundwater prior to domestic use.
关键词：Groundwater; water quality; bore well; water supply; correlation; regression