Analysis of The Season Effect on The Shallow Ground Water Parameters using Multivariate Statistics

Abstract

Problems related to water resources are still a major concern in some regions in the tropical climate. The effect of seasonal changes on the physical parameters of water quality is quite clearly visible. This certainly can pose a serious risk if it takes place in the long term towards human health and the environment without conducting intensive studies. The approach of this study is to draw the relationship between seasonal changes and physical parameters of water quality in 185 points spread across 11 sub-districts. Water parameter data was analyzed using multivariate statistics. Based on multivariate analysis in the dry season, the regression equation Y = 343.482 X1 + 0.039 X2 - 0.016 X3 + 12.961 X4 + 124.773 X5 - 815.208 and rainy season Y = 273.119 X1 + 0.025 X2 + 0.336 X3 + 15.731 X4 + 39.731 X5 - 745.119 (X1 salinity, X2 resistivity, X3 depth, X4 TDS, and X5 temperature, with bound parameters or Y is conductivity). Based on the health standards of the Indonesia Health Ministry concluded that regions showed the zone of extreme changes is close to the coast.

ANOVA-based analysis using MATLAB for Groundwater quality assessment

“…Statistics provide many tools to test the data from which an analysis can be made [7,8]. It helps in condensing complex data into important gures that are understandable.…”