新乡绿化树种叶片与叶面降尘中的氯含量协同监测大气氯浓度研究

Chlorine Content of Green Tree Blades and Foliar Dust in Synergistic Biological Monitoring Air Pollutants

通过对新乡市内主要街道、公共绿地、公园和居民区进行调查,选择加拿大杨、银杏、红叶石楠、枇杷和紫叶李这5个较为常见的绿化树种作为供试树种,采用多重比较法对不同功能区5个绿化树种叶片与叶面降尘中的氯含量、大气中氯浓度进行分析。结果表明:5个绿化树种叶片氯含量和降尘中的氯含量均随大气氯浓度的增加而增加,增加幅度由大至小依次是加拿大杨、银杏、红叶石楠、枇杷和紫叶李;一元回归方程显示,加拿大杨、银杏、红叶石楠、枇杷和紫叶李叶片的氯含量与降尘中氯含量的相关性均极显著,5种植物的叶片氯含量与大气氯浓度的相关性也均极显著;二元回归方程显示,5种绿化树种叶片氯含量与降尘氯含量、大气中氯浓度三者拟合的相关性均极显著。所有方程的F检验均达到极显著水平。因此,绿化树种叶片及其叶面降尘均可作为大气氯化物污染的有效生物指示剂,可为区域环境监测提供参考。

Through the investigation of the main streets,public green spaces,parks and residential areas in Xinxiang,5 common greening species of Populus canadensis,Ginkgo biloba,Photinia serrulata,Eriobotrya japoni-ca,Prunus cerasifera were selected as test species.The multi-comparison method was used to analyze the chlorine content and the concentration of chlorine in the air in the leaves and leaves of 5 greening tree species in different functional areas.The results show that the chlorine content in blades and foliar dust of 5 greening tree species are increased with the increasing of atmospheric chlorine concentration,the increasing extent in turn is Populus canadensis,Ginkgo biloba,Photinia serrulata,Eriobotrya japonica and Prunus cerasifera.Unitary regression equation shows that the chlorine content of blades and foliar dust in Populus canadensis,Ginkgo biloba,Photinia serrulata,Eriobotrya japonica and Prunus cerasifera has extremely significant correlation respectively.The correlation between chlorine content and chlorine concentration in 5 plants is also significant.The binary regression equation shows that there are significant correlations between chlorine content in blades and foliar dust and chlorine concentration in atmosphere of 5 greening tree species.The F test of all equations reach a very significant level.Therefore,the blades and foliar dust of greening tree species could be used to monitor atmospheric chlorine pollution as effective biomark-ers,and could provide theoretical reference for regional environmental monitoring.