Welcome to Chinese Journal of Ecology! Today is Share:

cje

Previous Articles     Next Articles

Capability of capturing different sized particles of common greening tree species in Beijing in autumn.

ZHAO Yun-ge1, LU Xiao-ying2, LU Shao-wei3,4, GU Jian-cai1, CHEN Bo3, LI Shao-ning3,4*#br#   

  1. (1College of Forestry, Agricultural University of Hebei, Baoding 071000, Heibei, China; 2 Beijing City Daxing District Nanhaizi Country Park Management Office, Beijing 100076, China; 3 Forestry and Pomology Institute, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100093, China; 4 Beijing Collaborative Innovation Center for Ecoenvironmental Improvement with Forestry and Fruit Trees, Beijing 100093, China).
  • Online:2017-01-10 Published:2017-01-10

Abstract: The particlecapturing capacities of common greening tree species in typical garden areas in Beijing were measured in autumn by aerosol regenerator (QRJZFSQ-I), and the adsorption amount of particulate matter per hectare of woodland was calculated. The results showed that the coniferous species had stronger ability of absorbing particles (PM10, PM2.5 and PM1.0) than broadleaf species. The abilities to adsorb different sized particles were not significantly different among coniferous species, but were significantly different among broadleaf trees at Nanhaizi Park, in which Populus spp. (1.256 kg·hm-2·a-1) and Salix babylonica (1.153 kg·hm-2·a-1) had the strongest adsorption capacity for PM10, and Fraxinus chinensis had the strongest adsorption capacity for PM2.5 (0.367 kg·hm-2·a-1) and PM1.0 (0.107 kg·hm-2·a-1). The same species at different sites showed the same adsorption capacity for total suspended particulates (TSP) and PM10, but not for PM2.5 and PM1.0. The maximum adsorption (11.043 kg·hm-2·a-1) of S. chinensis for PM2.5 and PM1.0 was observed at Nanhaizi Park, which was 15 times as much as that at Beijing Botanic Garden. PM10 accounted for a high percentage of the adsorbed particles, and gradually declined along the urbansuburbouter suburban gradient.