Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/57713
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dc.contributor.authorPoornima, D-
dc.contributor.authorShanthi, R-
dc.contributor.authorThangaradjou, T-
dc.contributor.authorSaravanakumar, A-
dc.contributor.authorSarangi, R K-
dc.date.accessioned2021-07-15T07:55:52Z-
dc.date.available2021-07-15T07:55:52Z-
dc.date.issued2021-06-
dc.identifier.issn2582-6727 (Online); 2582-6506 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/57713-
dc.description454-464en_US
dc.description.abstractMultivariate statistical analysis such as multiple linear regression (MLR) and principal component analysis (PCA) are used to study the effect of physico-chemical parameters on chlorophyll distribution along the southwest Bay of Bengal from January 2012 to June 2014. Physical properties recorded showed clear seasonal patterns in sea surface temperature (26.2 – 32.8 °C), salinity (24 – 36 PSU), pH (7.808 to 8.428), photosynthetic photon flux (522 – 1220.4 μM m-2s-1) with the minimum and maximum values during monsoon and summer seasons, respectively. In contrast, the chemical variables such as nitrite (0.15 to 2.35 μM), nitrate (1.02 to 6.58 μM), ammonia (0.11 – 5.22 μM), total nitrogen (1.04 to 11.58 μM), inorganic phosphate (0.16 – 2.97 μM), total phosphorus (0.55 – 8.60μM) and reactive silicate (2.00 to 23.95 μM) showed the minimum and maximum concentration during summer and monsoon seasons, respectively. The high and low chlorophyll (0.10 to 6.92 μg l-1) and dissolved oxygen (4.07 and 7.884 mg l-1) concentrations are observed during summer and pre-monsoon seasons, respectively. PCA found that nitrogenous nutrients and chlorophyll are positively loaded and sea surface temperature (SST) was negatively loaded in all the seasons except during summer season. Inter-comparison of modeled and in-situ chlorophyll-a (chl-a) concentration showed a significant correlation during monsoon season by 93 % of matchup with a R2 = 0.930, N = 60 and SEE = ±0.369 compared to other seasons. Regression analysis also predicted the positive influence of nitrate and ammonia and negative influence of SST with chl-a.en_US
dc.language.isoenen_US
dc.publisherNIScPR-CSIR, Indiaen_US
dc.sourceIJMS Vol.50(06) [June 2021]en_US
dc.subjectBay of Bengalen_US
dc.subjectChlorophyllen_US
dc.subjectMultiple linear regressionen_US
dc.subjectNitrateen_US
dc.subjectPrincipal component analysisen_US
dc.subjectSSTen_US
dc.titleStatistical tools for studying the temporal variations in chlorophyll-a concentration along the Southwest Bay of Bengal watersen_US
dc.typeArticleen_US
dcterms.sourceIJMS Vol.50(06) [June 2021]en_US
Appears in Collections:IJMS Vol.50(06) [June 2021]

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