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1 June 2018 Simulation of Remote-Sensed Chlorophyll Concentration with a Coupling Model Based on Numerical Method and CA-SVM in Bohai Bay, China
Xianquan Xiang, Wenhai Lu, Xiaojian Cui, Zhanbin Li, Jianhua Tao
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Xiang, X.; Lu, W.; Cui, X.; Li, Z., and Tao, J., 2018. Simulation of remote-sensed chlorophyll concentration with a coupling model based on numerical method and CA-SVM in Bohai Bay, China. In: Wang, D. and Guido-Aldana, P.A. (eds.), Select Proceedings from the 3rd International Conference on Water Resource and Environment (WRE2017). Journal of Coastal Research, Special Issue No. 84, pp. 1–9. Coconut Creek (Florida), ISSN 0749-0208.

Due to the high-complexity and non-linearity of the marine ecosystem, the internal functional mechanisms of the system have not been fully recognized. This lack of recognition of ecosystems restricts the use of traditional deterministic, aquatic, and ecological dynamic models based on mechanisms or assumptions. By introducing advanced intelligent algorithm support vector machine (SVM) and space display mode cellular automata (CA) from soft computing, a marine ecological module is constructed by combining SVM with CA. Simulation results such as water level, water depth, and flow velocity of the mechanism-based hydrodynamic modules are imported to the corresponding cell. The cell together with the existing cells and neighboring state, spatial location variables as well as extrinsic factors, exerts a combined effect on the cellular state of the cell soon afterwards, and then the coupling model based on the numerical method and soft computing is constructed. With the remote-sensed chlorophyll concentration data at Bohai Bay as the study object, the root-mean-square error (RMSE) of model simulation results were within the range of 0.042 μg/L to 0.373 μg/L, and the difference of spatial auto-correlation indicators Moran's I was within the range of 0.003 μg/L to 0.176 μg/L. Results indicate that an established coupling model encompasses a proper simulation of the temporal and spatial changing features of the chlorophyll concentration. This study thus integrates the traditional, hydrodynamic numerical module and ecological module based on soft computing methods, providing new means and ideas for simulated marine environment.

©Coastal Education and Research Foundation, Inc. 2018
Xianquan Xiang, Wenhai Lu, Xiaojian Cui, Zhanbin Li, and Jianhua Tao "Simulation of Remote-Sensed Chlorophyll Concentration with a Coupling Model Based on Numerical Method and CA-SVM in Bohai Bay, China," Journal of Coastal Research 84(sp1), 1-9, (1 June 2018).
Received: 14 March 2017; Accepted: 19 October 2017; Published: 1 June 2018
cellular automata
chlorophyll concentrations
Coupling model
remote sensing
soft computing
support vector machine
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