微宇宙环境下调控初始条件的藻类预测模型

为建立更为精确的藻类预测模型以满足具有不同营养盐特征的水体藻类生物量预测需求,在微宇宙环境中调控初始营养盐条件,模拟藻类生长过程并引入相关修正因子建立藻类预测模型.结果表明:氮磷比为5∶1时,引入总氮(TN)为修正因子的预测方程精度高;氮磷比为15∶1和25∶1时,以总磷(TP)为修正因子的预测方程精度高.微宇宙环境下调控初始条件所建立起的藻类生长预测模型有助于水厂更为精确地预测藻类生物量.

Algae concentration prediction models under controlled initial conditions in microcosm environment

To achieve more accurate algae concentration prediction models for satisfying with the needs of water bodies with different nutrients’ characteristics,the algae prediction models were modified by introducing related correction factors under controlled initial conditions in the microcosm environment.Results showed that the prediction model was more precise by introducing total nitrogen(TN) as the correction factor when the ratio of nitrogen to phosphorus was 5∶ 1,while the model was more accurate by introducing total phosphorus(TP) when the ratio of nitrogen to phosphorus was 15∶ 1 and 25∶ 1.The algae concentration prediction models under controlled initial conditions in the microcosm environment were helpful to predict algae concentration accurately for water plants.