Modeling the Dynamics of Chlorophyll-a in Bohai Bay Using a Bayesian Network Approach

Xiao Fu Xu; Hong Tao Nie; Jian Hua Tao

doi:10.4028/www.scientific.net/AMR.610-613.1056

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The Research and Design of Modern Agricultural Greenhouse Environment Test System
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Simulation and Analysis of Groundwater Environment in Shenfu New Town
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Modeling the Dynamics of Chlorophyll-a in Bohai Bay Using a Bayesian Network Approach
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The Hybrid Method to Predict Biochemical Oxygen Demand of Haihe River in China
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Simulated Analysis of Exploiting Space Flow Field on the Environmental Wind Influence in the Open Pit Mine
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Modeling the Dynamics of Chlorophyll-a in Bohai Bay Using a Bayesian Network Approach

Abstract:

The relative importance of chemical, physical and ecological processes in driving phytoplankton dynamics is poorly understood in Bohai Bay. Here we developed a Bayesian network (BN) model to integrate many of these processes and model the growth of chlorophyll-a in coastal area of Bohai Bay. BNs use probabilistic relationships rather than deterministic rules to quantify the cause and effect assumptions. The result shows that predictions of the model have an average accuracy of 65%, and chlorophyll-a dynamics were primarily driven by nutrients rather than physical environment and biological system. High concentration of nutrients was the suitable environmental condition for harmful algal blooms (HABs).