用藻类毒素为指标发现湖水中污染点的研究

USING CYANOTOXINS AS INDICATOR TO FIND HIGHER POLLUTION POINTS IN TAI-HU LAKE, CHINA

  • 摘要: 在太湖选择21个监测点,于1999年5-10月每月对太湖水质进行检测.应用统计学方法对各指标与各地区关系进行分析,最后应用逐步回归找出主要指标及主要污染地区.结果表明太湖水域中的MC几何平均浓度为407pgmL-1(20.94-18362.01pgmL-1),微囊藻毒素的存在和增长主要与微囊藻毒素生长的环境条件有关.用相关和逐步回归分析法查明微囊藻毒素与其生长与总磷呈正相关,与溶解氧呈负相关.其数学关系为:对数微囊藻毒素(pgmL-1)=6.38+1.79***对数总磷(ugL-1)-7.640*对数溶解氧(mgL-1),(R2=0.464,p<0.01).用公式中三项指标构成的多元交互图,可以寻找湖水中主要污染点的分布.太湖主要污染点在16、24和9、10两处湖湾中.

     

    Abstract: Cyanobacteria Toxins (Cyanotoxin, Mycrocystin, MC)were common in the eutrophic lakes of southern China. Using cyanotoxin as an indicator to find the higher pollution points in Tai Lake, China. From May to October, 1999,21points in Tai hu Lake were selected and detected 12 different indicators, including MC every month. The results of test were calculated means, standard deviation and correlation relations between indicators and districts. The stepwise regression was used to determine the relationship among all indicators. Dependent upon the established mathematical formula, using MC, total phosphorus and dissolve oxygen to find the main pollution points. Using ELISA test, the results of the geometrical mean of MC was 407 pgmL-1 (20.94 18362.02 pgmL-1). Through the stepwise regression method, the main influenced factors for concentration of MC were total phosphorus (positive correlation)and dissolved oxygen (negative correlation). The stepwise regression formula was as following: logMC=6.538+1.759*** log(total phospharus)-7.640* log(solved oxygen), (*P0.05, ***P0.0001).If conjugated with these three indicators we can find the main pollution points. Main pollution points in Tai hu Lake were located at points 16,24 and 9,10, in the bays of lake.

     

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