The Simulation of the Chlorophyll-A by Using the CA-SVM Method and Its Application in Bohai Bay

Author

Zheng, Dongsheng ; Sun, Jian ; Wang, Aimei ; Tao, Jianhua ; Xiang, Xianquan

Author_Institution

Sch. of Mech. Eng., Tianjin Univ., Tianjin, China

fYear

2012

fDate

1-3 June 2012

Firstpage

1

Lastpage

5

Abstract

Ecological environment is complex in Bohai Bay. Accompanied by the development of economy, pollution control problems have been put on agenda. Based on the remote sensing data, this article establishes a non-deterministic model to predict the concentration of Chlorophyll-a in Bohai Bay by using the combined model of cellular automata and support vector machine. Several programme are built, and their prediction results are compared with the remote sensing data. Through analysis and comparison, the most suitable prediction programme was obtained, and the main impact factors were got that affected the Chlorophyll-a concentration.

Keywords

ocean chemistry; Bohai bay; CA-SVM method; cellular automata; chlorophyll-a concentration; chlorophyll-a simulation; ecological environment; economy development; pollution control problems; remote sensing data; support vector machine; Biological system modeling; Data models; Optimization; Predictive models; Remote sensing; Simulation; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0872-4

Type

conf

DOI

10.1109/RSETE.2012.6260787

Filename

6260787