Fang Lin, Xiaoya Zhang, Yajun Zhu, Mengmeng Wang. Chlorine Content of Green Tree Blades and Foliar Dust in Synergistic Biological Monitoring Air Pollutants[J]. Journal of Southwest Forestry University, 2018, 38(6): 145-150. DOI: 10.11929/j.issn.2095-1914.2018.06.019
Citation: Fang Lin, Xiaoya Zhang, Yajun Zhu, Mengmeng Wang. Chlorine Content of Green Tree Blades and Foliar Dust in Synergistic Biological Monitoring Air Pollutants[J]. Journal of Southwest Forestry University, 2018, 38(6): 145-150. DOI: 10.11929/j.issn.2095-1914.2018.06.019

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

  • 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 japonica, 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 biomarkers, and could provide theoretical reference for regional environmental monitoring.
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