Journal ArticleDOI
Multivariate statistics and water quality index (WQI) approach for geochemical assessment of groundwater quality—a case study of Kanavi Halla Sub-Basin, Belagavi, India
Venkanagouda B. B. Patil,Shannon Meryl Pinto,Thejashree Govindaraju,Virupaksha Shivakumar Hebbalu,Vignesh Bhat,Lokesh Nanjappa Kannanur +5 more
TLDR
It was noticeably depicted that 2/3rd of the KHSB groundwater quality falls under poor to very poor condition, and hardly 26% of groundwater available is portable, so this study contributes the effective use of multivariate statistics and WQI analysis for groundwater quality.Abstract:
Groundwater quality analysis has become essentially important in the present world scenario. In recent years, advanced technologies have replaced the traditional ones which are being helpful in simplifying the complex works. In this study, multivariate statistical analysis is carried out with the help of SPSS software for 45 groundwater samples of Kanavi Halla Sub-Basin (KHSB). The quality of groundwater is determined for various parameters which were analyzed and their concentration is correlated with other parameters using correlation matrix. The PCA technique is applied on water quality parameters, from which four components are extracted with 80.28% total variance. The extracted components suggest that the sources behind the higher loadings of each factor are by geological, agricultural, rainfall, domestic wastewater and industrial activities. Results of the Kaiser–Meyer–Olkin and Bartlett’s test conducted have value of 0.659 which is greater than the standard value (0.5). Based on water quality index (WQI), it was noticeably depicted that 2/3rd of the KHSB groundwater quality falls under poor to very poor condition, and hardly 26% of groundwater available is portable. Thus, this study contributes the effective use of multivariate statistics and WQI analysis for groundwater quality. It helps in understanding the hydro-geochemistry of the groundwater and also aids in minimizing the larger set of data into smaller set with effective interpretation.read more
Citations
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Journal ArticleDOI
Application of Multivariate Statistical Analysis in the Development of a Surrogate Water Quality Index (WQI) for South African Watersheds
TL;DR: The proposed surrogate WQI is considered scientifically stable, with a minimum magnitude of divergence from the ideal water quality values, and displayed a predictive pattern identical to the ideal graph, matching on both index scores and classification values.
Journal ArticleDOI
Prediction and evaluation of groundwater characteristics using the radial basic model in Semi-arid region, India
TL;DR: In this article, the authors identify the relationship between groundwater quality monitoring accuracy and environment eco-system, human health and agriculture practices and propose a method to identify the relationships between the two.
Journal ArticleDOI
An integrated approach to explore the suitability of nitrate-contaminated groundwater for drinking purposes in a semiarid region of India
Balamurugan Panneerselvam,Kirubakaran Muniraj,Karunanidhi Duraisamy,Chaitanya B. Pande,Shankar Karuppannan,Maciej Thomas +5 more
TL;DR: In this paper , a risk assessment of groundwater contaminated by nitrate (NO 3 − ) and evaluate the suitability of groundwater for domestic purposes in the Palani region of South India was performed.
Journal ArticleDOI
Groundwater quality index based on PCA: Wadi El-Natrun, Egypt
TL;DR: In this paper, a modified Ground Water Quality Index (GWQI) based on the weighted GWQI developed by Tiwari and Mishra (1985) was used to evaluate the suitability of the water for drinking and agricultural uses.
Journal ArticleDOI
Assessment of groundwater safety surrounding contaminated water storage sites using multivariate statistical analysis and Heckman selection model: a case study of Kazakhstan
Ivan Radelyuk,Kamshat Tussupova,Kamshat Tussupova,Magnus Persson,Kulshat Zhapargazinova,Madeniyet Yelubay +5 more
TL;DR: A high loading of anthropogenic contamination to groundwater from the petrochemical industry coupled with natural geochemical processes is confirmed from the 7-year monitoring program from one of the factories.
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