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DOI: 10.14569/IJARAI.2015.040703
PDF

Trend Analysis of Relatively Large Diatoms Which Appear in the Intensive Study Area of the Ariake Sea, Japan in Winter (2011-2015) based on Remote Sensing Satellite Data

Author 1: Kohei Arai
Author 2: Toshiya Katano

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 7, 2015.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Behavior of relatively large size of diatoms which appear in the Ariake Sea areas, Japan in winter based on remote sensing satellite data is clarified. Through experiments with Terra and AQUA MODIS data derived chlorophyll-a concentration and truth data of chlorophyll-a concentration together with meteorological data and tidal data which are acquired for 5 years (winter 2011 to winter 2015), it is found that strong correlation between the chlorophyll-a concentration and tidal height changes. Also it is found that the relations between ocean wind speed and chlorophyll-a concentration. Meanwhile, there is a relatively high correlation between sunshine duration a day and chlorophyll-a concentration.

Keywords: chlorophyl-a concentration; red tide; diatom; sunshine duration; ocean winds; tidal effect

Kohei Arai and Toshiya Katano, “Trend Analysis of Relatively Large Diatoms Which Appear in the Intensive Study Area of the Ariake Sea, Japan in Winter (2011-2015) based on Remote Sensing Satellite Data” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(7), 2015. http://dx.doi.org/10.14569/IJARAI.2015.040703

@article{Arai2015,
title = {Trend Analysis of Relatively Large Diatoms Which Appear in the Intensive Study Area of the Ariake Sea, Japan in Winter (2011-2015) based on Remote Sensing Satellite Data},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.040703},
url = {http://dx.doi.org/10.14569/IJARAI.2015.040703},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {7},
author = {Kohei Arai and Toshiya Katano}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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