2014
DOI: 10.12691/ajwr-2-3-2
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Statistical Analysis of the Hydrogeochemical Evolution of Groundwater in the Rangampeta area, Chittoor District, Andhra Pradesh, South India

Abstract: Multivariate statistical techniques involving factor analysis (FA) and R-mode hierarchical cluster analysis (HCA) were performed on 30 groundwater samples from Rangampeta, Chittoor District, Andhra Pradesh, South India to extract principal processes controlling the water chemistry. The groundwater samples were analyzed for distribution of chemical elements Ca, Mg, Na, K, Si, HCO 3 , CO 3 , Cl, and SO 4 . It also includes pH, and electrical conductivity (EC). Gibbs diagrams were also constructed to identify the… Show more

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Cited by 18 publications
(8 citation statements)
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“…Therefore, the chemistry of the groundwater can be influenced by anthropogenic activities. Gillardet et al (1999) (Jalali 2009;Nagaraju et al 2014). Han and Liu (2004) and Jalali (2009) (Fig.…”
Section: Identification Of the Hydrochemical Processesmentioning
confidence: 99%
“…Therefore, the chemistry of the groundwater can be influenced by anthropogenic activities. Gillardet et al (1999) (Jalali 2009;Nagaraju et al 2014). Han and Liu (2004) and Jalali (2009) (Fig.…”
Section: Identification Of the Hydrochemical Processesmentioning
confidence: 99%
“…It explains that Pb and Zn was derived into groundwater by non-point sources like agricultural fertilizers (Zn based) leaching process, usage of carbon waste to irrigation land from industries, toxic pesticides and fungicides and point sources from industries which located on the belt of the river basin. There are several textile industries located in and around Karur district; the government implemented the zero discharge effluents into river, big factories had even dug tube wells to a depth of HCA was done to classify the parameters into groups based on their similarity with each other, whereas the Q-mode was performed to classify the parameters into groups based on their dissimilarity with each other (Nagaraju, Sunil Kumar, Thejaswi, & Sharifi, 2014;Davis, 2002). R-mode CA was performed on the surface water samples constitute of three clusters, where as elements belong to same group was instigating from the same sources.…”
Section: Detection Of Pollution Sourcementioning
confidence: 99%
“…PCA is an efficient tool to discriminate patterns in groundwater chemistry from huge physical and chemical analytical data (Kiymaz and Karadavut 2014;Nagaraju et al 2014;Okiongbo and Douglas 2015). Factor analysis is one of the significant multivariate techniques that perform through PCA method.…”
Section: Principal Component Analysis (Pca)mentioning
confidence: 99%