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作 者:钟声[1] ZHONG Sheng(Jiangsu Provincial Environmental Monitoring Center,Nanjing,Jiangsu 210019,China)
出 处:《环境监控与预警》2021年第3期19-23,共5页Environmental Monitoring and Forewarning
基 金:江苏省环境监测基金资助项目(2003)。
摘 要:对夏季太湖野外水华蓝藻样本进行梯度稀释,将自动监测法与手工监测法(人工镜检法和分光光度法)进行比对分析,同时通过对野外样品的连续监测对实验结果进行验证。结果表明,对于以微囊藻为绝对优势种的夏季太湖水体,YSI-6600型和EXO2型便携式水质监测仪测得的叶绿素与人工镜检法测得的藻密度的调整后相关系数(R^(2)_(adj))均值分别为0.906和0.936,高于它们与分光光度法测得的叶绿素a的R^(2)_(adj)值(0.816,0.789),且这2种指标在各蓝藻浓度区段的回归系数变化较小,变异系数分别为0.24和0.19,可根据回归方程得到的自动监测法测得的叶绿素,预测人工镜检法测得的藻密度。对同期同点位野外实际水样的监测结果表明,YSI-6600便携式水质监测仪测得的叶绿素与人工镜检法测得的藻密度、分光光度法测得的叶绿素a的R^(2)_(adj)分别为0.899和0.769。相较于分光光度法,自动监测法在夏季太湖蓝藻水华的监测预警中具有更大优势。In this study,the gradiently diluted field cyanobacteria samples from Lake Taihu in summer,were used to compare the automatic monitoring method with manual monitoring method(manual microscopy and spectrophotometry),meanwhile,the experimental results are verified by continuous monitoring of field samples.The results showed that,in summer Lake Taihu dominated with Microcystis spp.,the mean values of linear correlation coefficient(R^(2)_(adj))between the chlorophyll concentrations determined by YSI-6600 and EXO2 portable water quality monitoring instruments and algae density determined by the manual microscopy in four algae concentration sections were 0.906 and 0.936,higher than those between chlorophyll concentrations and chlorophyll a concentrations determined by spectrophotometry(0.816,0.789).Furthermore,the regression coefficients between these two indexes varied slightly in four algae concentration sections,with the coefficient of variation of 0.24 and 0.19,respectively.According to the chlorophyll determined by automatic monitoring method based on the constructed regression equation,to predict algae density determined by manual microscopy method.The synchronous monitoring results showed that the values of linear correlation coefficient between the chlorophyll concentrations determined by instruments and algae density determined by manual microscopy,and chlorophyll measured by spectrophotometry,were 0.899 and 0.769,respectively.Hence,the automatic monitoring method is more suitable in monitoring and early warning of cyanobacterial blooms in Lake Taihu in summer compared with the spectrophotometry.
关 键 词:蓝藻水华 藻密度 叶绿素 线性相关性 自动监测法 人工镜检法 分光光度法 太湖
分 类 号:X832[环境科学与工程—环境工程]
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