Impact of 2nd wave of COVID-19-related lockdown on coastal water quality at Diu, western coast of India and role of total alkalinity on bacterial loads
A detailed coastal water monitoring near Diu coast, western part of India was performed from October, 2020 to May, 2021 covering the 2nd lockdown time. Average monthly fluctuation from 7 different sampling stations of total 9 physico-chemical parameters such as pH, salinity, turbidity, nitrite (NO 2...
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| Veröffentlicht in: | Environmental science and pollution research international 2022-06, Vol.29 (30), p.45971-45980 |
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| creator | Panja, Atanu Kumar Vasavdutta, Sonpal Sahoo, Tarini Prasad Shinde, Ambika H. Thorat, Ravikumar Bhagawan Chatterjee, Shruti Ray, Sanak Madhava, Anil Kumar Haldar, Soumya |
| description | A detailed coastal water monitoring near Diu coast, western part of India was performed from October, 2020 to May, 2021 covering the 2nd lockdown time. Average monthly fluctuation from 7 different sampling stations of total 9 physico-chemical parameters such as pH, salinity, turbidity, nitrite (NO
2
), nitrate (NO
3
), ammonia (NH
3
), phosphate (PO
4
), total alkalinity and silicate were recorded. Initially, Mann–Kendall trend test for all the 9 parameters showed non-zero trend, which may be either linear or non-linear. During 2nd lockdown period, there was a fluctuation of value for parameters like pH, salinity, nitrate, nitrite and phosphate. Average total bacterial count and differential bacterial count also gradually decreased from March, 2021 sampling. Principal component analysis (PCA) plot covering all the physico-chemical parameters as well as the differential bacterial count showed a distinct cluster of all bacterial count with total alkalinity value. Subsequently, mathematical equation was formulated between total alkalinity value and all differential bacterial count. Upto our knowledge, this is the first report where mathematical equation was formulated to obtain value of different bacterial load based on the derived total alkalinity value of the coastal water samples near Diu, India. |
| doi_str_mv | 10.1007/s11356-022-19168-0 |
| format | Article |
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2
), nitrate (NO
3
), ammonia (NH
3
), phosphate (PO
4
), total alkalinity and silicate were recorded. Initially, Mann–Kendall trend test for all the 9 parameters showed non-zero trend, which may be either linear or non-linear. During 2nd lockdown period, there was a fluctuation of value for parameters like pH, salinity, nitrate, nitrite and phosphate. Average total bacterial count and differential bacterial count also gradually decreased from March, 2021 sampling. Principal component analysis (PCA) plot covering all the physico-chemical parameters as well as the differential bacterial count showed a distinct cluster of all bacterial count with total alkalinity value. Subsequently, mathematical equation was formulated between total alkalinity value and all differential bacterial count. Upto our knowledge, this is the first report where mathematical equation was formulated to obtain value of different bacterial load based on the derived total alkalinity value of the coastal water samples near Diu, India.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-022-19168-0</identifier><identifier>PMID: 35156166</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Alkalinity ; Ammonia ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Bacteria ; Coastal waters ; Coasts ; COVID-19 ; Differential equations ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental monitoring ; Environmental science ; Mathematical analysis ; Nitrates ; Nitrogen dioxide ; Parameters ; pH effects ; Principal components analysis ; Research Article ; Salinity ; Salinity effects ; Sampling ; Turbidity ; Waste Water Technology ; Water analysis ; Water Management ; Water monitoring ; Water Pollution Control ; Water quality ; Water sampling</subject><ispartof>Environmental science and pollution research international, 2022-06, Vol.29 (30), p.45971-45980</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-1e2a1acf9e65439e3a4e8132d092a25908752165cabf9e2b5c41b2fb5812f8173</citedby><cites>FETCH-LOGICAL-c474t-1e2a1acf9e65439e3a4e8132d092a25908752165cabf9e2b5c41b2fb5812f8173</cites><orcidid>0000-0001-9989-8137</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-022-19168-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-022-19168-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35156166$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Panja, Atanu Kumar</creatorcontrib><creatorcontrib>Vasavdutta, Sonpal</creatorcontrib><creatorcontrib>Sahoo, Tarini Prasad</creatorcontrib><creatorcontrib>Shinde, Ambika H.</creatorcontrib><creatorcontrib>Thorat, Ravikumar Bhagawan</creatorcontrib><creatorcontrib>Chatterjee, Shruti</creatorcontrib><creatorcontrib>Ray, Sanak</creatorcontrib><creatorcontrib>Madhava, Anil Kumar</creatorcontrib><creatorcontrib>Haldar, Soumya</creatorcontrib><title>Impact of 2nd wave of COVID-19-related lockdown on coastal water quality at Diu, western coast of India and role of total alkalinity on bacterial loads</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>A detailed coastal water monitoring near Diu coast, western part of India was performed from October, 2020 to May, 2021 covering the 2nd lockdown time. Average monthly fluctuation from 7 different sampling stations of total 9 physico-chemical parameters such as pH, salinity, turbidity, nitrite (NO
2
), nitrate (NO
3
), ammonia (NH
3
), phosphate (PO
4
), total alkalinity and silicate were recorded. Initially, Mann–Kendall trend test for all the 9 parameters showed non-zero trend, which may be either linear or non-linear. During 2nd lockdown period, there was a fluctuation of value for parameters like pH, salinity, nitrate, nitrite and phosphate. Average total bacterial count and differential bacterial count also gradually decreased from March, 2021 sampling. Principal component analysis (PCA) plot covering all the physico-chemical parameters as well as the differential bacterial count showed a distinct cluster of all bacterial count with total alkalinity value. Subsequently, mathematical equation was formulated between total alkalinity value and all differential bacterial count. Upto our knowledge, this is the first report where mathematical equation was formulated to obtain value of different bacterial load based on the derived total alkalinity value of the coastal water samples near Diu, India.</description><subject>Alkalinity</subject><subject>Ammonia</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Bacteria</subject><subject>Coastal waters</subject><subject>Coasts</subject><subject>COVID-19</subject><subject>Differential equations</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental monitoring</subject><subject>Environmental science</subject><subject>Mathematical analysis</subject><subject>Nitrates</subject><subject>Nitrogen dioxide</subject><subject>Parameters</subject><subject>pH effects</subject><subject>Principal components analysis</subject><subject>Research Article</subject><subject>Salinity</subject><subject>Salinity effects</subject><subject>Sampling</subject><subject>Turbidity</subject><subject>Waste Water Technology</subject><subject>Water analysis</subject><subject>Water Management</subject><subject>Water monitoring</subject><subject>Water Pollution Control</subject><subject>Water quality</subject><subject>Water 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Bhagawan</au><au>Chatterjee, Shruti</au><au>Ray, Sanak</au><au>Madhava, Anil Kumar</au><au>Haldar, Soumya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of 2nd wave of COVID-19-related lockdown on coastal water quality at Diu, western coast of India and role of total alkalinity on bacterial loads</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2022-06-01</date><risdate>2022</risdate><volume>29</volume><issue>30</issue><spage>45971</spage><epage>45980</epage><pages>45971-45980</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>A detailed coastal water monitoring near Diu coast, western part of India was performed from October, 2020 to May, 2021 covering the 2nd lockdown time. Average monthly fluctuation from 7 different sampling stations of total 9 physico-chemical parameters such as pH, salinity, turbidity, nitrite (NO
2
), nitrate (NO
3
), ammonia (NH
3
), phosphate (PO
4
), total alkalinity and silicate were recorded. Initially, Mann–Kendall trend test for all the 9 parameters showed non-zero trend, which may be either linear or non-linear. During 2nd lockdown period, there was a fluctuation of value for parameters like pH, salinity, nitrate, nitrite and phosphate. Average total bacterial count and differential bacterial count also gradually decreased from March, 2021 sampling. Principal component analysis (PCA) plot covering all the physico-chemical parameters as well as the differential bacterial count showed a distinct cluster of all bacterial count with total alkalinity value. Subsequently, mathematical equation was formulated between total alkalinity value and all differential bacterial count. Upto our knowledge, this is the first report where mathematical equation was formulated to obtain value of different bacterial load based on the derived total alkalinity value of the coastal water samples near Diu, India.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35156166</pmid><doi>10.1007/s11356-022-19168-0</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-9989-8137</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Environmental science and pollution research international, 2022-06, Vol.29 (30), p.45971-45980 |
| issn | 0944-1344 1614-7499 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8852930 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Alkalinity Ammonia Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Bacteria Coastal waters Coasts COVID-19 Differential equations Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental monitoring Environmental science Mathematical analysis Nitrates Nitrogen dioxide Parameters pH effects Principal components analysis Research Article Salinity Salinity effects Sampling Turbidity Waste Water Technology Water analysis Water Management Water monitoring Water Pollution Control Water quality Water sampling |
| title | Impact of 2nd wave of COVID-19-related lockdown on coastal water quality at Diu, western coast of India and role of total alkalinity on bacterial loads |
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