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Development of Water Quality Index and Regression Model for Assessment of Groundwater Quality


 
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1. Title Title of document Development of Water Quality Index and Regression Model for Assessment of Groundwater Quality
 
2. Creator Author's name, affiliation, country K. Ambiga; Department of Civil Engineering, SRM University, Chennai, Tamil Nadu, India
 
2. Creator Author's name, affiliation, country R. AnnaDurai; Department of Civil Engineering, SRM University, Chennai, Tamil Nadu, India
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Groundwater; Physico-Chemical Parameters; Seasons, WQI; Correlation and Regression Analysis
 
3. Subject Subject classification Water Quality Index, Correlation and Regression analysis, GIS
 
4. Description Abstract

Groundwater samples were collected from 35 locations in Ranipet, Vellore district; Tamil Nadu was assessed in the Monsoon, Post Monsoon and Pre Monsoon season from July 2012 to May 2013. Water quality assessment was carried out for the parameters like pH, Total hardness, Total dissolved solids, Total alkalinity, Electrical conductivity, Chloride, Calcium, Magnesium, Sodium, Potassium, Nitrate, sulfate, Phosphate, Iron, Chromium. The Water Quality Index values and Correlation coefficient values were calculated to check the exceedingly allied and interconnected with water quality parameters (WQPs). The Regression equations involving these known and linked with parameters were formulated for greatly correlated WQPs. Assessment of experimental and predictable values of the different WQPs parameters reveals that the regression equations developed in the study can be very well used for making water quality monitoring by observing the above parameters alone. The result of examination has been used to recommend a model for predicting water quality, the investigation reveals that the ground water of the area desires some extent of treatment before utilization, and it also needs to be confined from the perils of pollution.

 
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2015-03-31
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type Correlation and Regression
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-353
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 4 (Year 2015)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.) Map,
Groundwater model,
Physico - cehmical analysis
 
15. Rights Copyright and permissions

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