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An approach of multi-element fusion method for harmful algal blooms prediction

  • Published:2022-12-03 Issue:11 Volume:30 Page:32083-32094
  • ISSN:1614-7499
  • Container-title:Environmental Science and Pollution Research
  • language:en
  • Short-container-title:Environ Sci Pollut Res

Author:

Chen Xiaoqian,Fu Yonggang,Zhou Honghua

Funder

Natural Science Foundation of Fujian Province

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Reference36 articles.

1. Agusa Y, Fujihashi T, Endo K et al (2018) Development of seawater temperature announcement system for quick and accurate red tide estimation. In: Sieminski A, Kozierkiewicz A, Nunez M et al (eds) Modern approaches for intelligent information and database systems, - 10th Asian Conference, ACIIDS 2018, Studies in Computational Intelligence, vol 769. Springer, Dong Hoi City, Vietnam, pp 245–253, DOI https://doi.org/10.1007/978-3-319-76081-0_21

2. Blondeau-Patissier D, Gower JF, Dekker AG et al (2014) A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans. Prog Oceanogr 123:123–144

3. Carvalho GA, Minnett PJ, Fleming LE et al (2010) Satellite remote sensing of harmful algal blooms: a new multi-algorithm method for detecting the Florida red tide (Karenia Brevis). Harmful Algae 9 (5):440–448

4. Chau K (2005) Algal bloom prediction with particle swarm optimization algorithm. In: Hao Y, Liu J, Wang Y et al (eds) Computational intelligence and security, international conference, CIS 2005, Lecture Notes in Computer Science, vol 3801. Springer, Xi’an, China, pp 645–650, DOI https://doi.org/10.1007/11596448_95

5. Chen C, Jiang H, Zhang Y et al (2010) Investigating spatial and temporal characteristics of harmful algal bloom areas in the east China sea using a fast and flexible method. In: The 18th International Conference on Geoinformatics: GIScience in Change, Geoinformatics 2010. June 18-20, 2010. IEEE, Peking University, Beijing, China, pp 1–4. https://doi.org/10.1109/GEOINFORMATICS.2010.5567490

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