Hydrochemical Assessment of Surfacewater and Groundwater Quality at Bank Infiltration Site

Abstract

Groundwater and surface water quantity and quality are an important factor that contribute for drinking water demand and agriculture use. The water quality analysis was assessed using multivariate statistical analyses based on analytical quantitative data that include Discriminant Analysis (DA) and Principal Component Analysis (PCA), based on 36 water quality parameters from the rivers, lakes, and groundwater sites at Jenderam Hilir, which were collected from 2013 to 2014 (56 observations). The DA identified six significant parameters (pH, NO2-, NO3-, F, Fe2+, and Mn2+) from 36 variables to distinguish between the river, lake, and groundwater groups (classification accuracy = 98%). The PCA had confirmed 10 possible causes of variation in the groundwater quality with an eigenvalue greater than 1, which explained 82.931% of the total variance in the water quality data set.