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作 者:赵云阁[1] 鲁笑颖 鲁绍伟[3,4] 谷建才[1] 陈波[3] 李少宁[3,4]
机构地区:[1]河北农业大学林学院,河北保定071000 [2]北京市大兴区南海子郊野公园管理处,北京100076 [3]北京市农林科学院林业果树研究所,北京100093 [4]北京林果业生态环境功能提升协同创新中心,北京100093
出 处:《生态学杂志》2017年第1期35-42,共8页Chinese Journal of Ecology
基 金:国家林业局林业公益性行业科研专项(201204101);科技创新服务能力建设-协同创新中心-林果业生态环境功能提升协同创新中心(协同创新中心-市级)项目(PXM2016_014207_000038)资助
摘 要:选择不同区域典型园林区,于秋季应用气溶胶再发生器(QRJZFSQ-I)测定北京市常绿化树种叶片单位面积滞纳不同粒径颗粒物能力,并推算单位面积林地滞纳颗粒物的物质量。结果表明:针叶树种对各粒径颗粒物(PM_(10)、PM_(2.5)和PM_(1.0))的滞纳能力均高于阔叶树;针叶树种间对不同粒径颗粒物滞纳量没有显著差异,不同阔叶树在南海子公园(城区)差异显著,其中,对PM_(10)滞纳力强的树种为杨树(1.256 kg·hm^(-2)·a^(-1))和柳树(1.153 kg·hm^(-2)·a^(-1)),对PM_(2.5)和PM_(1.0)滞纳力强的树种为白蜡(0.367和0.107 kg·hm^(-2)·a^(-1));相同树种在不同地点对总悬浮颗粒物(TSP)和PM_(10)的滞纳规律相同,对PM_(2.5)和PM_(1.0)的滞纳规律与前两种类型颗粒物略有不同,桧柏对这两种颗粒物的最大值出现在南海子公园(11.043 kg·hm^(-2)·a^(-1)),是最小值北京植物园的15倍;树种滞纳的各种颗粒物以PM_(10)比例较大,且其比例变化按"城区-近郊-远郊"呈渐降的趋势。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,PM2.5and 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 PM2.5( 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 PM2.5and PM1.0. The maximum adsorption( 11. 043 kg · hm-2·a-1) of S.chinensis for PM2.5and PM1.0was 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.
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