基于智能Agent的蓝藻水华暴发过程模型及仿真

通过实验确定水华暴发关键因子,分析关键因子与藻类变化的关系,研究藻类水华生消机理,用智能Agent仿真技术建立了湖库水华产生与暴发过程模型。在一系列规范约束下,构建实体、Agent和Agent间的交互协作模型,动态地描述湖库藻类生消过程及其关键因子动态变化,对藻类生长趋势和湖库水系的能量流动以及物质流动状态进行有效分析。仿真实验结果表明,该方法为藻类水华形成机理的研究提供一种行之有效的建模新途经。

Intelligent Agent Modeling and Simulating of Algal Bloom Formation Mechanism

The emergence and break out of algal bloom is a complex process, and the research of the process is very important for the prediction of algal bloom in theory and practice. To provide effective conceptual modeling method in depth study of the algal bloom formation mechanism, intelligent Agent is applied to the formation mechanism modeling of algal bloom in lake reservoirs. The key factors of algal bloom are determined through experiments, the growth and death mechanism of algae are studied, and the relationship between the key factors and the change of algae is analyzed. In a series of standard constraints, a dynamic simulation model is constructed to describe the Agent and the growth process of algal bloom in lake reservoirs, which effectively analyzes trends of algae growth, energy flow and material flow state of lakes and reservoirs water systems. Experiment and simulation show that the new modeling method is efficient for the study of algal bloom formation mechanism,