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Research Article | Open Access |

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) · Vol. 4, No. 7 · Published 2015

DOI: 10.14569/IJARAI.2015.040703

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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

How to Cite this Article

Arai, K., & Katano, T. (2015). 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, 4(7). https://doi.org/10.14569/IJARAI.2015.040703

Arai, Kohei, 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, vol. 4, no. 7, 2015, https://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},
  volume    = {4},
  number    = {7},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Toshiya Katano},
  doi       = {10.14569/IJARAI.2015.040703},
  url       = {https://doi.org/10.14569/IJARAI.2015.040703}
}

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