Statistical Analysis of the Groundwater Samples from Bapatla Mandal, Guntur District, Andhra Pradesh, India

Abstract

Water is an elixir of life. It is an important component to human survival. Water should be purified for a better life style. It is the basic duty of every individual to conserve water resources. The present study attempts to bring an acute awareness among the people about the quality of ground water by taking water samples from specific locations for analysis. The experimental analysis was done for various Physico-chemical and biological parameters such as pH, Electrical Conductivity, TDS, CO 3 2-, TH, Ca 2+ , Mg 2+ , Cl-, NO 3-, SO 4 2-, Turbidity, Na + , K + , Fe, and Fetc., The results are compared with standards of WHO, USPH and BIS and ISIRI. In the present study, a statistical analysis for eight data points of drinking water at eight villages, of Guntur District has been done and the results were discussed here. The systematic correlation and regression analysis showed significant linear relationship among different pairs of water quality parameters.

Application of multivariate statistical analysis concepts for assessment of hydrogeochemistry of groundwater—a study in Suri I and II blocks of Birbhum District, West Bengal, India

“…These analyses assist us in systematically studying and interpreting hydrogeochemical patterns and correlationships between the various parameters determining water quality. Some examples of studies were multivariate analyses methods have been effectively employed in comprehending hydrochemical processes are studies by Güler et al (2002), Güler and Thyne (2004), Helsrup et al (2007), Yidana et al (2008a), Yidana andYidana (2009), Cloutier et al (2008), Machiwal and Jha (2015), Mrazovac and Miloradov (2011), Gummadi et al 2014, Bajpayee et al 2012, Jothivenkatachalam et al 2010 and others. Multivariate statistical methods do not directly present hydrogeochemical processes being carried out but gives an idea about the factors that control these processes.…”

Groundwater quality evaluation for domestic and irrigation purposes for the Nwanedi Agricultural Community, Limpopo Province, South Africa

“…Pearson correlation coefficient analysis ( Table 2 ) was used in the present study to measure aspects of linear relationship between two water parameters or variables. Gummadi et al. (2014) stated that when correlation coefficient values are close to −1 or +1 they indicate a linear correlation between variable x and y.…”

Evaluation for Irrigation Water Purposes of Groundwater Quality in the Vicinity of Sivas City Centre (Turkey) by Using Gis and an Irrigation Water Quality Index

“…Correlation analysis measures the proximity between the specified dependent and independent variables. Correlation coefficients which are close to −1 or + 1 are indicative of a linear correlation between x and y variables (Gummadi et al, ). When the correlation coefficient between two variables is zero, there is no correlation at the level of p < 0,05 between the two variables.…”