Multivariate Investigation of Heavy Metals in the Groundwater for Irrigation and Drinking in Garautha Tehsil, Jhansi District, India

Abstract

Groundwater is an important source for drinking and irrigation purposes. Due to anthropogenic activities, heavy metals have been leaching due to industrial waste and agricultural activities to the groundwater causing pollution. The assessment of groundwater quality is necessary to reduce the pollution to acceptable levels. Therefore, the aim of this study is to investigate heavy metal concentrations in the groundwater of the villages of Garautha Tehsil, Jhansi where the anthropogenic activities are active. The groundwater samples were analyzed by inductively coupled plasma – mass spectrometry (ICP-MS) and the results were compared to the 2012 Bureau of Indian Standard limits. Three multivariate statistical methods were used to analyze the groundwater quality for irrigation and drinking purposes and to investigate the geological and hydrogeological processes. The results of principal component analysis (PCA) identified four factors responsible for the data structure by illuminating the total variance of 77.83% of the dataset. The majority of groundwater samples contained Al, Co, Cu, Mn, Ni, Cr, Pb, and Fe within the acceptable limits except at few locations. However, the Al, Fe, and Mn concentration were high at a few sites due to rock–water interactions, whereas the concentration of As, Cd, and Zn were lower than their respective permissible limits in all groundwater samples. Furthermore, the groundwater quality for the use of irrigation is found to be acceptable at 19 locations, with only one high result.

Keywords:

• Groundwater pollution
• heavy metals
• multivariate statistical analysis
• drinking water
• inductively coupled plasma – mass spectrometry (ICP-MS)