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Assessment of Seasonal Variations in Surface Water Quality of Cooum River in Chennai, India – A Statistical ApproachView Crossref metadata(active tab) <div id="edit-xml" class="form-item form-type-item"> <?xml version="1.0"?> <doi_batch version="4.4.1" xmlns="http://www.crossref.org/schema/4.4.1" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/schema/4.4.1 http://www.crossref.org/schemas/crossref4.4.1.xsd"><head><doi_batch_id>000699</doi_batch_id><timestamp>1714777451</timestamp><depositor><depositor_name>University of the Aegean</depositor_name><email_address>uoa@university.com</email_address></depositor><registrant>Global NEST Journal</registrant></head><body><journal><journal_metadata><full_title>Global NEST Journal</full_title><full_title>Global NEST: the international Journal</full_title><issn media_type="print">1790-7632</issn><issn media_type="electronic">2241-777X</issn></journal_metadata><journal_issue><titles><title>Issue 3</title></titles><publication_date><month>09</month><year>2024</year></publication_date><journal_volume><volume>18</volume></journal_volume><issue>3</issue></journal_issue><journal_article><titles><title>Assessment of Seasonal Variations in Surface Water Quality of Cooum River in Chennai, India – A Statistical Approach</title></titles><abstract xmlns="http://www.ncbi.nlm.nih.gov/JATS1"><p><div> <p>Rapid development in industrial sectors and population expansion has adverse impact on the <em>Cooum </em>river basin, especially Chennai region. The present study focuses on the assessment of seasonal variation in surface water quality of <em>Cooum </em>river basin. The samples were collected seasonally and are categorized as pre-monsoon, monsoon and post-monsoon during March 2013 to March 2014. Eighteen physicochemical parameters were assessed for eleven different samples collected along the channel of C<em>ooum</em> river basin. Statistical tools such as correlation analysis scatter plots, box plot and multivariate tools such as cluster analysis and principal component analysis were applied to categorize the <em>Cooum</em> river water quality. From the data sets, the ionic concentration, organic loads exhibits positive correlation (R<sup>2</sup>>0.7) for all three seasons. Also, box plot and scatter plot results revealed that during post-monsoon season the ionic concentration along with organic and inorganic levels were slightly higher than monsoon and pre-monsoon. Similarly, multivariate statistical tools such as principle component analysis (PCA) indicate that the ionic concentrations and organic load contributed more than 50% of variance while cluster analysis (CA) reveals that nature of pollutant load among the sites.</p> </div> <p> </p> </p></abstract><publication_date><month>06</month><day>03</day><year>2016</year></publication_date><pages><first_page>527</first_page><last_page>545</last_page></pages><publisher_item><identifier id_type="pii">gnest_01787</identifier></publisher_item><doi_data><doi>10.30955/gnj.001787</doi><timestamp>1714777451</timestamp><resource>https://journal.gnest.org/publication/gnest_01787</resource></doi_data></journal_article></journal></body></doi_batch> </div>
