<?xml version="1.0" encoding="utf-8"?><article><front><Journal-meta><journal-id journal-id-type='publisher'>CWE/1583/2024</journal-id><journal-title >Current World Environment</journal-title><issn pub-type='PPub'>0973-4929</issn><issn pub-type='ePub'>2320-8031</issn><publisher><publisher-name>4</publisher-name></publisher></Journal-meta><article-meta><article-id pub-id-type='other'>CWE--92-00</article-id><title-group><article-title>&lt;p&gt;Mapping of Physicochemical Properties of Groundwater Using &lt;span style=&quot;background-color:rgb(255,255,255);color:rgb(0,0,0);&quot;&gt;QGIS&lt;/span&gt; of Bhopal District of Madhya Pradesh, India&lt;/p&gt;</article-title></title-group><contrib-group><contrib contrib-type='author'><name><surname></surname><given-names></given-names></name><xref ref-type='aff' rid='aff00'><sup></sup></xref></contrib><contrib contrib-type='author'><name><surname></surname><given-names></given-names></name><xref ref-type='aff' rid='aff00'><sup></sup></xref></contrib></contrib-group><aff id='aff001'><sup>1</sup><instname></instname>,<deptname>Department of Civil Engineering</deptname>, <instaddress>Jabalpur Engineering College</instaddress>, <instcity>Jabalpur</instcity>, <instcountry>India</instcountry>.</aff><pub-date pub-type='ppub'><publicationDate></publicationDate></pub-date><doi>10.12944/CWE.19.1.34</doi><volume>Volume 19</volume><issue>Volume 19</issue><page>404-415</page><abstract><title>Abstract</title><p>This study investigates the groundwater quality in the Bhopal district, located in the Madhya Pradesh state of India. The water quality parameters spatial distribution map is created using QGIS Desktop 3.22.16. The research aims to calculate the groundwater suitability for purposes of drinking by collecting 47 samples from various locations within the district. The analysis includes eleven parameters related to groundwater quality, which is pH, Turbidity, Alkalinity, Total Dissolved Solids, Electrical Conductivity, Calcium Hardness, Total Hardness, Magnesium Hardness, Chloride, Sulphate, and Iron. Water Quality Index (WQI) has been computed to classify the ground water quality of the study area.  Finally, a correlation matrix has been generated to explore the linear relationships between various water quality parameters, using correlation coefficients (r) as indicators of association. The present study shows that almost 80% of the quality is suitable for drinking, and about 20 % of the quality are under poor quality that needs treatment before consumption and at two locations the quality is very poor that needs urgent treatment.</p></abstract><kwd-group><title>Keywords</title><kwd>GIS</kwd><kwd> Groundwater</kwd><kwd> Interpolation</kwd><kwd> Water Quality</kwd><kwd> WQI</kwd></kwd-group><counts><ref-count count='' /><page-count count='' /></counts></article-meta></front></article>