Shao Fei
College of Computer and Information Engineering, Beijing Technology and Business University, No. 11/33, Fucheng Road, Haidian District, 100048
Wang Xiaoyi
College of Computer and Information Engineering, Beijing Technology and Business University, No. 11/33, Fucheng Road, Haidian District, 100048
Shi Yan
College of Computer and Information Engineering, Beijing Technology and Business University, No. 11/33, Fucheng Road, Haidian District, 100048
Xu Jiping
College of Computer and Information Engineering, Beijing Technology and Business University, No. 11/33, Fucheng Road, Haidian District, 100048
Sheng Lu
College of Computer and Information Engineering, Beijing Technology and Business University, No. 11/33, Fucheng Road, Haidian District, 100048
Wang Li
College of Computer and Information Engineering, Beijing Technology and Business University, No. 11/33, Fucheng Road, Haidian District, 100048
Tang Lina
College of Computer and Information Engineering, Beijing Technology and Business University, No. 11/33, Fucheng Road, Haidian District, 100048
ABSTRACT
Based on the deep analysis of the formation process of algal blooms for the urban lakes and rivers, some key factors affecting the formation of algal blooms have been extracted. Furthermore, a recognition model of algae outbreak has been established based on the complex network to calculate the related parameters of the characters towards the complex network which is the way to achieve the recognition of the phenomenon mentioned above. By means of the experiment on the water quality in the urban lakes of Beijing, this method has been proved to be correct and efficient which provides the reference for the deeper research of the formation mechanism of algal blooms.
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How to cite this article
Shao Fei, Wang Xiaoyi, Shi Yan, Xu Jiping, Sheng Lu, Wang Li and Tang Lina, 2013. Research on Recognition Method of Algae Blooms Based on Complex Network. Journal of Applied Sciences, 13: 1847-1850.
DOI: 10.3923/jas.2013.1847.1850
URL: https://scialert.net/abstract/?doi=jas.2013.1847.1850
DOI: 10.3923/jas.2013.1847.1850
URL: https://scialert.net/abstract/?doi=jas.2013.1847.1850
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