基于水体光学原理,确定了光照衰减系数与透明度之间的定量关系式;基于质量守恒原理,描述了氮磷营养盐与藻类之间的转化关系;耦合光因子和盐因子对藻类生长的驱动机制,建立了考虑光盐交互作用的富营养化数学模型.结合2015年4~7月在眉湖开展的水质监测数据,对模型进行了参数率定与验证.通过正交设计与情景模拟相结合,研究了光盐条件变化对藻类生长的驱动作用.结果表明,建立的富营养化模型能够较好的模拟不同光盐条件下藻类的生长趋势;低光照强度下营养盐浓度增加对藻类生长起到了抑制作用,营养盐浓度增加相同的倍数时TP浓度变化对藻类生长的影响作用要比TN浓度变化对藻类生长的影响作用大;整体上藻类的生长受到光照强度的影响高于营养盐,受到总磷的影响高于总氮,在设置的情境中光照强度、TP和TN浓度分别为89.6klx、0.168mg/L和2.72mg/L时最利于藻类生长.%A quantitative relation between light attenuation coefficient and water transparency was established based on the principle of water optics; described the relationship between nitrogen-phosphorus nutrients and algae based on the principle of mass conservation; constructed an eutrophication model accounting for the interaction effect of light and nutrients, which coupled the driving mechanisms of light and nutrients on algae growth. The model was calibrated and verified using water quality data monitored from April to July 2015 in the Meihu Lake. The model was then used to analyse the effect of change in light-nutrient content on algae growth, under different scenarios. Results showed that the algae had a good growth tendency under different light-nutrient conditions which was simulated by the established eutrophication model; there was an inhibitory action for algae under low light intensity when the nutrient concentrations increased, the effect of TP concentration was more important than TN concentration on algal growth when nutrient concentrations increased the same multiple; as a whole, algae growth is more affected by light intensity than nutrients, and more affected by total phosphorus than total nitrogen. The best scenario for algae growth is where illumination is 89.6klx, TP concentration is 0.168mg/L and TN concentration is 2.72mg/L.
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