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Study on Dynamic Model of Marine Ecosystem Based on Chlorophyll Concentration Distribution

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DOI: 10.23977/geors.2021.040106 | Downloads: 4 | Views: 323


XiangGuang Zhang 1, YongSheng Xu 1


1 Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong 266071, China

Corresponding Author

YongSheng Xu


Marine ecosystem has two important basic characteristics, namely, nonlinearity and hierarchy. Non-linearity leads to high correlation between ecological parameters in marine ecosystem dynamics model, which leads to large errors in simulation results. This paper describes the monitoring and prediction technology of chlorophyll a concentration based on MODIS image data, and based on this, interprets and analyzes MODIS image data, and establishes a water ecological dynamic model. Firstly, MODIS image data are interpreted and analyzed, and the initial data are processed by projection transformation and region of interest clipping, and then atmospheric correction is performed. At the same time, the remote sensing inversion model of chlorophyll a concentration of marine algae is established by using BP neural network technology combined with optical and radar remote sensing. The research results show that the method described in this paper can overcome the disadvantage of low resolution of MODIS image data and provide fast and real-time monitoring results.


Chlorophyll concentration, Marine ecosystem, Dynamic model


XiangGuang Zhang, YongSheng Xu. Study on Dynamic Model of Marine Ecosystem Based on Chlorophyll Concentration Distribution. Geoscience and Remote Sensing (2021) Vol. 4: 54-61. DOI:


[1] Yin J, Xu J, Xue Y, et al. Evaluating the impacts of El Nio events on a marine bay ecosystem based on selected ecological network indicators. Science of The Total Environment, vol. 763, no. 64, pp. 144205, 2021.
[2] Yang M, Wang J X. Marine High-tech Enterprise Ecosystem Based on Sustainable Development. Sustainable Computing: Informatics and Systems, vol. 28, no. 7, pp. 100399, 2020.
[3] Islam M S, Sun J, Liu H, et al. Environmental influence on transparent exopolymer particles and the associated carbon distribution across northern South China Sea. Journal of Oceanology and Limnology, vol. 39, no. 3, pp. 1430-1446, 2021.
[4] Andrade C, Alcantara E, Bernardo N, et al. An assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll- a concentration from a reservoir. Advances in Space Research, vol. 63, no. 7, pp. 2175-2188, 2019.
[5] Jang P G, Kang J H, Shin K. Study on the Distribution of Surface Chlorophyll-a and Subsurface Chlorophyll Maximum in the Southeastern Yellow Sea According to the Typhoon Paths and Water Masses. Ocean Science Journal, vol. 55, no. 3, pp. 1-20, 2020.
[6] Dorofeev V L, Sukhikh L I. Studying Long-Term Variations in Black-Sea Ecosystem Based on the Assimilation of Remote Sensing Data in a Numerical Model. Water Resources, vol. 46, no. 1, pp. 65-75, 2019.
[7] Wang T, F Chai, Xing X, et al. Influence of multi-scale dynamics on the vertical nitrate distribution around the Kuroshio Extension: An investigation based on BGC-Argo and satellite data. Progress In Oceanography, vol. 193, no. 9, pp. 102543, 2021.
[8] Grigoratou M, Monteiro F M, Ridgwell A, et al. Investigating the benefits and costs of spines and diet on planktonic foraminifera distribution with a trait-based ecosystem model. Marine Micropaleontology, vol. 166, no. 2, pp. 102004, 2021.
[9] Sun J, Xia J, Zhao X, et al. Effects of 1-aminobenzotriazole on the growth and physiological characteristics of Tamarix chinensis cuttings under salt stress. Forestry Research: English Version, vol. 32, no. 4, pp. 11, 2021.
[10] Thomas S, Pilditch C A, Thrush S F, et al. Does the Size Structure of Venerid Clam Populations Affect Ecosystem Functions on Intertidal Sandflats?. Estuaries and Coasts, vol. 44, no. 1, pp. 242-252, 2021.

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