千岛湖藻类及相关环境因子多元线性回归和鱼腥藻预测模型的建立

文章以千岛湖 1998～ 2 0 0 1年连续监测资料为基础 ,运用多元线性回归手段 ,以水温等 7项环境因子对叶绿素a、藻类细胞密度、鱼腥藻细胞密度作回归统计 ,建立多元回归方程 ,初步建立千岛湖蓝藻鱼腥藻细胞密度的预报模型。结果表明 ,水温和溶解氧是千岛湖藻类细胞密度的显著相关因子 ,在控制蓝藻鱼腥藻方面 ,削减入湖的 COD和磷元素总量具有现实意义

Model prediction of anabaena bloom using backward multiple regression between al gae & related environmental factors in Thousand-island Lake

This study deals with the relation between algae cell density and 7 e nvironmental factors such as water temperature (WT),secci-depth(SD),DO,COD,pH,T - P,T-N based on monitoring data from 1998-2001 in Thousand-island Lake The b ackw ard multiple regression statistical method as used to calculate the relation bet ween algal chlorophyll-a, algal cell density, anabaena cell density and these e nvironmental factors,On the base,made the model prediction of anabaena boom T he results showed that WT and DO were the most significant related factors to al gal cell density, To control anabaena boom, we reduce COD and T-P that have rea listically significance