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The research aims to analyze co-relation between surface water quality parameters of Hilly and Ganges region of Sahibganj town on the basis of physical, chemical parameters like temperature, pH, DO (Dissolved solid), BOD (Biological oxygen Demand), COD (Chemical oxygen demand), TDS (Total Dissolved Solid), Turbidity, Fluoride, Total Alkalinity, Total Hardness, Calcium, Magnesium, Arsenic, etc.
Pearson co-relation is determined using co-related matrix to identify the highly co-related and interrelated water quality parameters. To test the significance of the pair of parameters, r- value is carried out. There is relationship between variables which shows that how one variable affects the other variable. The highest co-relation exists for Hardness with Calcium and Magnesium, while the minimum correlation exists between Alkalinity -pH and Fluoride-TDS. The regression model has been used to show how well the regression fits well with the observations, the R value shows the variance between the observations.
Keywords:
Ground water, Hilly & Ganga region, Co-relation, Sahibganj town, Water quality parameters.
Cite Article:
"Pearson and Regression Model Analysis of Groundwater Quality Assessment of Hilly and Ganges Region of Sahibganj Town.", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.444 - 453, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207066.pdf
Downloads:
000204904
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator