【摘要】 蓝藻是河湖水华中常见优势种群,其生命活动、物质代谢与水温密切相关,针对该问题,以铜绿微囊藻为供试对象,利用物理模型模拟了不同温度下该藻引发的水华生消的过程.结果表明:该蓝藻水华生消与水温密切相关,当营养物质及其他条件适宜时,水温为28±1℃可促进水华发生;此时藻类比增长率最高,可达1.05;水体氮磷营养在藻类进入对数生长期即消耗殆尽,水体pH和溶解氧受藻类光合作用影响发生变化,经一个周期后达到稳定状态,水体电导率主要因氮磷营养含量降低而降低.以28℃下蓝藻叶绿素a随时间变化的观测值建立时序模型AR(3)进行预测,经检验,模型模拟精度较高,在实际工作中有一定的应用价值.更多还原

【Abstract】 Blue-green algae(Cyanobacteria) is the common dominant species of the algae bloom in lakes or rivers,whose life activity and metabolism are intimately related to water temperature.Taking the Microcystis aeruginosa as study object,the formation and dying-off of the algae bloom under different water temperatures are simulated with physical models.The results show that when the water temperature is 28±1℃,it will accelerate the formation of blue algae bloom with proper nutrient contents and other conditions.Then the ratio growth of algae added to be 1.05,the biggest one.The concentration of nitrogen and phosphor almost are consumed at the process of algae growth logarithm period.The pH value and dissolved oxygen are affected by photosynthesis,and changed to be stable after one period.Conductivity time dynamics confirmed to the nutrient content drop.The time serial model AR(3) is constructed with the monitoring data of chlorophyll a concentration under best water temperature to forecast the trend of algal bloom formation and disappearing.It is shown that it is proper to simulate the trend of algae bloom with the model,so as to have some application in the practice.更多还原