Ground Water Quality Assessment in Guntur district GIS data Using Data Mining Techniques

Abstract

Throughout this article we first attempted to analyse water quality research in the Andhra Pradesh district of Guntur. A thorough study of the consistency of groundwater was undertaken. 31 water samples of various physiochemical parameters, e.g. temperature, pH , electrical conductivity, totally dissolved solids , ammonium nitrates, total hardness, calcium, chloride, magnesium, sulphate, total alkalinity, potassium, total nitrogen, sodium , total phosphorus and dissolved oxygen have been collected and tested. The correlation analysis was also conducted as it is an outstanding method to estimate fair precision of parameter values. This research proposes a new methodological approach in conjunction with an ensemble model for data mining, through the use of the evidence-based confidence function and boosting the BRT regression tree GIS knowledge for groundwater quality visualization in Guntur. Spring areas for training and validation in individual and ensemble methods can be established and subdivided into two groups. Modeling results are drawn up to create potential maps for spring (groundwater). In order to evaluate groundwater content by taking different samples in various towns and cleanly synthesising water parameters that have been applied the diverse Data mining techniques