Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/7584
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dc.contributor.authorRajapaksha, K.-
dc.contributor.authorNaveendrakumar, G.-
dc.date.accessioned2025-06-01T18:31:15Z-
dc.date.available2025-06-01T18:31:15Z-
dc.date.issued2024-11-06-
dc.identifier.citationConference Proceedings of 13th Annual Science Research Session – 2024 on “"Empowering Innovations for Sustainable Development Through Scientific Research" on November 6th 2024. Faculty of Applied Sciences, South Eastern University of Sri Lanka, Sammanthurai.. pp. 45.en_US
dc.identifier.isbn978-955-627-029-7-
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/7584-
dc.description.abstractENSO (El Niño Southern Oscillation) events lead to ocean warming specifically affect marine phytoplankton abundance in the ocean by altering water temperature, and stratification, thereby impacting phytoplankton growth and distribution. This study analyzed a time series of satellite-derived Chlorophyll-a (Chl-a) concentration data, to investigate the mechanisms driving phytoplankton variability in the maritime zone of Sri Lanka. Although the impact of ENSO on marine phytoplankton is indirectly felt, scanty research is available for Sri Lanka. Thus, the objectives of this study were to investigate the Sea Surface Temperature (SST), and Chl-a concentration of sea using remotely sensed spatial data especially gathered using the MODIS satellite in the maritime zones of Sri Lanka. NASA’s Ocean Color Web images, obtained using SeaDAS Explorer (which utilizes data from MODIS), used for this study. The analysis focused on the period from 2004 to 2023, particularly the influence of the ENSO events and annual average values of Chl-a and SST in 0-12 and 12-24 nautical miles (nmi) shoreline bands in maritime zones subjected geostatistical analysis. Nearly 3000 points selected for the assessment of Landsat images in ArcMap 10.8 to validate the observational data. Chl-a exhibited a significant negative correlation with SST, with notable time lags, while showing a positive correlation with ENSO events. These findings enhance the understanding of the complex interplay between ENSO events, SST, and phytoplankton dynamics, highlighting the need for continued monitoring of seasonal ocean currents and climate-related changes in the ocean.en_US
dc.language.isoen_USen_US
dc.publisherFaculty of Applied Sciences, South Eastern University of Sri Lanka, Sammanthurai.en_US
dc.subjectChlorophyll-a concentrationen_US
dc.subjectENSO (El Niño Southern Oscillation)en_US
dc.subjectMarine phytoplankton healthen_US
dc.subjectMODIS satelliteen_US
dc.subjectSeaDAS.en_US
dc.titleImpact of enso on marine phytoplankton abundance in Sri Lanka: insights using sattelite dataen_US
dc.typeArticleen_US
Appears in Collections:13th Annual Science Research Session

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