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Study on Relationship Between Cyanobacteria Blooms and Chemical Biological Factors in a Shallow temperate zone Lake

机译:浅水区湖中蓝细菌盛开与化学生物因素的关系研究

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A 4-month data set was used to investigate historical changes between the number of the Cyanobacteria and concentrations of total nitrogen (TN), total phosphorus (TP), TN.TP, chemical oxygen dawdling (COD), NO_3, pH and Chl-a in a shallow temperate zone lake (Guishui Lake, Beijing, China). The aim was to evaluate changes in the risk of Cyanobacteria blooms, which have occurred several times in the lake every year. Observe that high ratios of total TN.TP (>20), and low concentration of TP (<0.3mg/L) may suppress the growth of the Cyanobacteria in the lake. Two thresholds that P=0.6mg/L and NO_3=1.0mg/L have been found to be related to the Cyanobacteria blooms in the lake. Based on the data collected at six water quality monitoring sites in the Lake, a nonlinear regression formula on growth of blue algae cells is established via ratio TN:TP and the concentrations of COD, NO_3, pH and Chl-a. The calculated results on the number of the Cyanobacteria cells via the nonlinear regression formulas are good in agreement with the monitoring data of the six water quality monitoring sites.
机译:4个月的数据集被用来研究蓝藻和总氮(TN),总磷(TP),TN.TP,化学氧磨蹭(COD),NO_3,pH和Chl-的浓度的数量之间的历史变化一个在浅温带湖(妫湖,北京,中国)。其目的是评估在蓝藻大量繁殖,已在湖每年都要发生几次的风险变化。观察总TN.TP(> 20),和TP的低浓度(<0.3mg的/ L)的高比率可以抑制蓝藻在湖的生长。即P = 0.6mg的/ L和NO_3 = 1.0毫克/ L已发现两个阈值被与在湖中的蓝藻开花。基于在湖6个水质监测点收集的数据,在蓝藻细胞生长的非线性回归式是通过比TN成立:TP和COD,NO_3,pH值的浓度和叶绿素a。经由非线性回归公式蓝藻细胞的数量,计算结果与6个水质监测点的监测数据一致良好。

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