title: [Particulate matter adsorption capacity of 10 evergreen species in Beijing].
abstract: In the atmosphere, high concentrations of air particles PM (Particulate matter) cause not only environmental pollution, but also serious harm to human body. Green plants as an air filter, can effectively improve the air quality in urban and suburb, and protect human health. Therefore, it is necessary to understand the adsorption capacity of air particulate matter of different species. Based on aerosol generator (QRJZFSQ-I), the leaf surface of ten plants including six evergreen trees and four evergreen shrubs were measured to determine the atmosphere adsorption (TSP, PM10, PM2.5 and PM10) capacity in Beijing, the results showed that: (1) There was obvious difference in the PM adsorption capacity of the leaf surface of different species, the highest were Cedrus deodara and Pinus tabuliformis, which were (18.95 ± 0.71) μg x cm(-2) and (14.61 ± 0.78) μg x cm(-2) respectively, while Abiesfabri was the minimum, which was (8.02 ± 0.4) μg x cm(-2); (2) There was also difference in the per unit leaf area particulate adhesion ability among different tree species, the tree species with the strongest leaf PM10 adhesion ability were Pinus tabulformis and Cedrus deodara, those with the strongest leaf PM2.5 adhesion ability were Cedrus deodara, Juniperus procumbens , Juniperus chinensis cv. kaizuka and Pinus tabuliformis, while those with the strongest leaf PM10 adhesion ability were Cedrus deodara, Juniperus procumbens, Abies fabri and Pinus tabuliformis; (3) The proportions of particulate matters (PM10 and PM2.5) in TSP were different. PM10 had mainly two kinds of trends in April-June, one was firstly decreasing and then increasing, with the main tree type of the shrub species; and the other was increasing, with the main tree type of the tree species. But this change trend was not obvious in PM2.5.
authors.forename: Bing
authors.initials: B
authors.lastname: Wang
authors.lastname: Zhang Wei-kang
authors.forename: Xiang
authors.initials: X
authors.lastname: Niu
authors.forename: Xiao-yan
authors.initials: XY
authors.lastname: Wang
mesh_terms: D000327:Adsorption; D000393:Air Pollutants / Q000032:analysis*; D001272:Atmosphere; D004784:Environmental Monitoring; D052638:Particulate Matter / Q000032:analysis*; D018515:Plant Leaves / Q000378:metabolism; D064028:Tracheophyta / Q000378:metabolism*
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter