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Research Article | Open Access |

One of the Possible Causes for Diatom Appearance in Ariake Bay Area in Japan In the Winter from 2010 to 2015 (Clarified with AQUA/MODIS)

Author 1: Kohei Arai
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 5, No. 4 · Published 2016

DOI: https://doi.org/10.14569/IJARAI.2016.050401

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Abstract

One of the possible causes for diatom appearance in Ariake bay area I Japan in the winter seasons from 2010 to 2015 is clarified with AQUA/MODIS of remote sensing satellite. Two months (January and February) AQUA/MODIS derived chlorophyll-a concentration are used for analysis of diatom appearance. Match-up data of AQUA/MODIS with the evidence of the diatom appearance is extracted from the MODIS database. Through experiments, it is found that diatom appears after a long period time of relatively small size of red tide appearance. Also, it depends on the weather conditions and tidal effect as well as water current in the bay area in particular.

Keywords

chlorophyl-a concentration red tide diatom MODIS satellite remote sensing

How to Cite this Article

Arai, K. (2016). One of the Possible Causes for Diatom Appearance in Ariake Bay Area in Japan In the Winter from 2010 to 2015 (Clarified with AQUA/MODIS). International Journal of Advanced Research in Artificial Intelligence, 5(4). https://doi.org/10.14569/IJARAI.2016.050401

Arai, Kohei. "One of the Possible Causes for Diatom Appearance in Ariake Bay Area in Japan In the Winter from 2010 to 2015 (Clarified with AQUA/MODIS)." International Journal of Advanced Research in Artificial Intelligence, vol. 5, no. 4, 2016, https://doi.org/10.14569/IJARAI.2016.050401.

@article{Arai2016,
  title     = {One of the Possible Causes for Diatom Appearance in Ariake Bay Area in Japan In the Winter from 2010 to 2015 (Clarified with AQUA/MODIS)},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {5},
  number    = {4},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJARAI.2016.050401},
  url       = {https://doi.org/10.14569/IJARAI.2016.050401}
}

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