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首页> 外文期刊>Polish Journal of Environmental Studies >Spatial-Temporal Variability and Dust-Capture Capability of 8 Plants in Urban China
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Spatial-Temporal Variability and Dust-Capture Capability of 8 Plants in Urban China

机译:中国城市8种植物的时空变异和除尘能力

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摘要

Urban plants have been proven to mitigate ambient particulate matter (PM), which can benefit urban planners in their attempts to control urban air pollution. In this study, PM depositions on the leaves of 8 tree species were quantitatively analysed in 7 functional areas of the city of Nanjing, China, over the course of one year. The results demonstrated that leaf PM included different particle size fractions (PM 10 and PM2.5), and differed among seasons and species. The highest amounts of total PM, PM 10, and PM2.5 were found in the industrial area, and the mean values were 80.24 mu g/cm(2), 52.14 mu g/cm(2), and 15.51 mu g/cm(2), respectively, and the highest accumulation of total PM (60.65 mu g/cm(2)), PM10 (37.29 mu g/cm(2)), and PM2.5 (11.23 mu g/cm(2)) occurred in winter. Significant differences were found between the tree species tested. Cedrus deodara exhibited high amounts of the total PM, PM10, and PM2.5 accumulations. This study examined the mass and quantity distribution of PM among tree species, and identified the particles combined with a scanning electron microscope (SEM). In terms of particle mass, 48% of the identified particles had a diameter of 10 mu m, and only 18.3% of them had a diameter of 2.5 mu m. In terms of particle number, the results indicated that 73% of them had a diameter of 2.5 mu m, and only 5.5% of them had a diameter of 10 mu m. To test the relationship between leaf traits and PM2.5 accumulation, results showed that stomata size, density, and hair were significantly related to the PM2.5 capture quantity. As far as we know, this is the first paper to present the mass and quantity distribution of the PM of different tree species in Nanjing. The results not only give comprehensive insights into the dust-retaining capability of tree species but also offer a selection of species for urban green areas where the goal is to mitigate urban airborne PM.
机译:事实证明,城市工厂可以减轻环境颗粒物(PM)的污染,这可以使城市规划人员尝试控制城市空气污染。在这项研究中,在一年的过程中,定量分析了中国南京市7个功能区中8种树种叶片上的PM沉积物。结果表明,叶片PM包含不同的粒径分数(PM 10和PM2.5),并且随季节和物种的不同而不同。在工业区发现的PM,PM 10和PM2.5总量最高,平均值分别为80.24μg / cm(2),52.14μg / cm(2)和15.51μg/ cm (2)和最高PM累积总量(60.65μg / cm(2)),PM10(37.29μg/ cm(2))和PM2.5(11.23μg / cm(2))发生在冬天。发现测试的树种之间存在显着差异。雪松(Cedrus deodara)展示了大量的PM,PM10和PM2.5总量。这项研究检查了树木中PM的质量和数量分布,并通过扫描电子显微镜(SEM)鉴定了颗粒。就颗粒质量而言,所鉴定的颗粒的48%的直径为10μm,而仅18.3%的颗粒的直径为2.5μm。就颗粒数而言,结果表明它们的73%具有2.5μm的直径,并且仅5.5%的具有10μm的直径。为了测试叶片性状与PM2.5积累之间的关系,结果表明,气孔大小,密度和毛发与PM2.5捕获量显着相关。据我们所知,这是第一篇介绍南京不同树种PM的质量和数量分布的论文。研究结果不仅可以全面了解树木的除尘能力,而且还可以为城市绿化区选择树种,其目的是减轻城市空气中的PM。

著录项

  • 来源
    《Polish Journal of Environmental Studies》 |2019年第1期|453-462|共10页
  • 作者单位

    Nanjing Forestry Univ, Jiangsu Prov Key Lab Ecol Engn, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing, Jiangsu, Peoples R China;

    Nanjing Forestry Univ, Jiangsu Prov Key Lab Ecol Engn, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing, Jiangsu, Peoples R China;

    Anhui Agr Univ, Sch Resources & Environm, Hefei, Anhui, Peoples R China;

    Anhui Agr Univ, Sch Resources & Environm, Hefei, Anhui, Peoples R China;

    Nanjing Forestry Univ, Jiangsu Prov Key Lab Ecol Engn, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing, Jiangsu, Peoples R China;

    Nanjing Forestry Univ, Jiangsu Prov Key Lab Ecol Engn, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing, Jiangsu, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    air pollution; particulate matter; spatial and temporal; urban tree species;

    机译:空气污染;颗粒物;时空;城市树种;

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