Abstract

The current research aims to establish GIS-based water quality index by analysing 51 groundwater samples collected from various sectors of the Gautham Buddh Nagar district of Noida, U.P., India. To determine WQI the groundwater samples were exposed to a detailed physico-chemical experimentation of seven parameters such as pH, Total Hardness, Total Alkalinity, Chlorides, Turbidity, Carbonates and Bicarbonates. The values of the examined samples were compared with the water quality requirements of the Bureau of Indian Standards (BIS). The result of the present study indicates that 84.4% of water samples fell in good quality and that only 15.6% of water samples fell under the poor water category exceeding the acceptable and permissible limits of BIS approved drinking water quality standards (Indian Standard Drinking Water IS:10500–2012). This determined the WQI index for the same and the values ranged from 47.12 to 192.104. Along with that machine learning techniques helped us understand the relation between pH and WQI index, where pH fluctuation is compared to water quality. The study shows that treatment is needed in the region’s groundwater before it is used for drinking and other uses.

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