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Hydro-Chemical Investigation and Quality Assessment of Groundwater Industries: Softcomputing and Analysis

Hydro-Chemical Investigation and Quality Assessment of Groundwater Industries: Softcomputing and Analysis
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Author(s): N. Pavithra (Department of Civil Engineering, Government SKSJTI, Bengaluru, India)and Ramakrishnaiah C. R. (Department of Civil Engineering, BMS College of Engineering, Bengaluru, India)
Copyright: 2025
Pages: 28
Source title: Modern SuperHyperSoft Computing Trends in Science and Technology
Source Author(s)/Editor(s): Florentin Smarandache (University of New Mexico, USA)and Priyanka Majumder (Techno College of Engineering, Agartala, India)
DOI: 10.4018/979-8-3693-6875-6.ch007

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Abstract

This study assesses groundwater quality for drinking purposes in and around the Peenya Industrial Area using the Water Quality Index (WQI) method, focusing on 11 key physio-chemical parameters. The calculated WQI values range from 39.10 to 224.16, revealing that while 74% of groundwater samples outside the industrial area are drinkable, 83% within the area fall into a poor category, indicating unsuitability for consumption. Hydro-chemical facies analysis during the pre-monsoon season shows a Ca-Mg-HCO3 water type. ArcGIS was used to create geographical distribution maps for clearer spatial analysis. The study highlights the necessity of frequent groundwater monitoring and suggests that integrating soft computing techniques can improve prediction accuracy, facilitate trend analysis, and optimize long-term groundwater quality management in industrial regions.

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