污染区域大气环境质量生物监测的数学模式

Mathematical Models of Biological Monitoring of Atmospheric Environment Quality in Polluted

摘要:

以常规标准取样法、静态挂片吸收取样法分别测定了深圳南山区范围内大气二氧化硫、硫酸盐化速率和氟化物的含量,并同步测定了植物叶片的污染物含量。利用回归方法分析了3种测定结果的相互关系,并以植物叶片污染物含量为基础建立大气环境质量生物监测的数学模型,其中以叶片含硫量评价大气硫酸盐化速率的模型为夏季y=0.781x-0.754,冬季y=1.88x-2.283;以叶片含氟量评价大气氟化物的模型为夏季y=0.363x-7.511,冬季y=0.175x-3.461,这些模型均有很高的可信度(p<0.001)。

Abstract:

Sulfur dioxide concentration, sulfation rate and fluoride contents in atmosphere around the Nanshan district in Shenzhen were measured in summer and winter of 2000 using two different sampling methods (i.e. conventional standard sampling and static suspending piece absorption). At the same time, sulfur and fluorine contents in plant leaves were also measured. Regression analysis showed that pollutant concentrations in atmosphere were significantly correlated with the pollutant contents (x) in plant leaves. On the basis of these correlations, biomonitoring mathematical models for evaluation on air sulfation rate (y) were developed as y=0.781x-0.754 for summer and y=l.88x-2.283 for winter, whereas on air fluoride (y), y=0.363x-7.511 for summer and y=0.175x-3.461 for winter. It is suggested that the models are reliable.