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Quality Assesment of Groundwaters Using Principal Component Analysis in Mianpur Area, Hyderabad, India


Affiliations
1 Deptt. of Geology, P. G. College of Science, Saifabad, Osmania University, Hyderabad-500 004, A. P., India
2 Deptt. of Statistics, P. G. College of Science, Saifabad, Osmania University, Hyderabad-500 004, India
 

Principal component analysis (PCA) of chemical variables of groundwater is used to interpret the relationship between the specific processes that control the quality of water. Groundwater samples were collected from Mianpur urban area, Hyderabad, and analysed for trace elements chemistry. The PCA separates the chemical variables into six principal components by HCO3, Cl, NO3, Al, Ba, Ca, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Ti and Zn. The principal component-I shows the significance on cadmium. The principal component-II shows the significance on calcium, chromium and iron. Tin, chromium, copper, manganese and lead show the significance on PC-III, PC-IV, PC-V and PC-VI, which are ignored as these show very less significance on the elements. These three principal components are identified with the processes of salinity, alkalinity and pollution, which are considered as lithologically and non-lithologically controlled factors. Identification of the zones helps to take appropriate management measures to improve quality of groundwater for sustainable development of the area.

Keywords

Principal Component Analysis, Groundwater Assessment, Mianpur Urban Area.
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  • Quality Assesment of Groundwaters Using Principal Component Analysis in Mianpur Area, Hyderabad, India

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Authors

Ishrath
Deptt. of Geology, P. G. College of Science, Saifabad, Osmania University, Hyderabad-500 004, A. P., India
G. Prabhakar
Deptt. of Geology, P. G. College of Science, Saifabad, Osmania University, Hyderabad-500 004, A. P., India
M. Raghavender
Deptt. of Statistics, P. G. College of Science, Saifabad, Osmania University, Hyderabad-500 004, India

Abstract


Principal component analysis (PCA) of chemical variables of groundwater is used to interpret the relationship between the specific processes that control the quality of water. Groundwater samples were collected from Mianpur urban area, Hyderabad, and analysed for trace elements chemistry. The PCA separates the chemical variables into six principal components by HCO3, Cl, NO3, Al, Ba, Ca, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Ti and Zn. The principal component-I shows the significance on cadmium. The principal component-II shows the significance on calcium, chromium and iron. Tin, chromium, copper, manganese and lead show the significance on PC-III, PC-IV, PC-V and PC-VI, which are ignored as these show very less significance on the elements. These three principal components are identified with the processes of salinity, alkalinity and pollution, which are considered as lithologically and non-lithologically controlled factors. Identification of the zones helps to take appropriate management measures to improve quality of groundwater for sustainable development of the area.

Keywords


Principal Component Analysis, Groundwater Assessment, Mianpur Urban Area.