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洪泽湖藻类与环境因子逐步回归统计和蓝藻水华初步预测 被引量:11

Prediction of Blue-Green Algae Bloom Using Stepwise Multiple Regression Between Algae & Related Environmental Factors in Hongze lake
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摘要 以洪泽湖2008—2010年的连续监测资料为基础,运用多元逐步回归统计方法,选择水温等12项环境因子与藻类叶绿素a等5项生物因子进行逐步回归分析,找出与生物因子显著相关的因子,建立多元逐步回归方程,预测洪泽湖藻类密度的变化情况,初步进行了洪泽湖蓝藻水华的预测预报。结果显示,总磷、总氮、氨氮和水深为洪泽湖藻类密度的显著相关因子,透明度、水温、水深为蓝藻密度的显著相关因子。 This study deals with the ralation between algal biomass and 12 environmental factors such as weter temperature(WT),suspend solids(SS),DO,COD,etc,based on the mongitoring data from 2008—2010 in Hongze lake.the stepwise multiple regression statistical method was used to calculate the relation between algalchlorophyll-a(Chla),total algal density,Blue-green algae density,etc,and these environmental factors.The results showed that D,TP,TN and NH3-N were the most significant related factors to algae density,WT,SD,D were the most significant related factors to blue-green algae density.These can be used to predict the Blue-green algae bloom in the Hongze lake.
出处 《中国环境监测》 CAS CSCD 北大核心 2012年第4期17-20,共4页 Environmental Monitoring in China
基金 江苏省环境监测科技基金项目(0908)
关键词 洪泽湖 多元逐步回归 蓝藻 预测 Hongze lake Stepwise multiple regression Blue-Green algae Prediction
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