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The impact of rainfall in remobilising particulate matter accumulated on leaves of four evergreen species grown on a green screen and a living wall

机译:降雨在绿色屏幕上生长的四种常绿物种的叶片上积累的颗粒物质的影响

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Green walls have recently been identified as a green infrastructure (GI) solution to the problem of particulate matter (PM) air pollution. Green wall systems mostly use evergreen plants as the leaves are retained throughout the year; however, researchers have argued that evergreen foliage becomes saturated with PM and fails to capture more due to a long retention time on the leaves. This study evaluated the potential of (simulated) rainfall to remobilise these captured PM and renew the capture ability of the leaf surfaces of four evergreen species (Heuchera villosa Michx, Helleborus x sternii Turrill, Bergenia cordifolia (Haw.) Sternb., Hedera helix L.) used in a living wall and a green screen located along a busy road in Stoke-on-Trent, UK. The approach used compared PM densities on pre- and post-rain exposed leaf surfaces (using leaf halves of the same leaf) and using a paired t-test to identify any significant reduction in PM due to the rainfall. An Environmental Scanning Electron Microscope (ESEM) and ImageJ image analysis software were employed to quantify the PM densities on leaves. The reduction of PM on leaves, following exposure to 16 mm hr(-1) simulated rain in six different rainfall durations was estimated in all four species in order to evaluate any variable impact of rainfall on different species of plants. PM wash-off levels on leaves of H. helix by 41 mm hr(-1) rain was also evaluated, using the same rainfall durations, to assess any differential impact of rainfall intensity on PM wash-off. This study revealed a significant impact of rainfall in washing the particles off the leaves in all rainfall durations used. A one-way Anova in a Generalised Linear Model showed a differential impact of rainfall in remobilising PM on different species of plants. The rainfall with higher intensity (41 mm hr(-1)) showed a significantly higher impact on PM wash-off compared to 16 mm hr(-1) rain. The results of this study demonstrated the potential of green walls to act as good PM traps throughout the year by recycling their capture surfaces.
机译:最近被鉴定为绿色基础设施(GI)解决颗粒物质(PM)空气污染问题。绿墙系统主要使用常绿植物,因为叶子全年保留;然而,研究人员认为,由于叶子上的长期保留时间,常绿叶子变得饱和并且未能捕获更多。本研究评估了(模拟)降雨的潜力,以重复这些捕获的PM,并更新四种常绿物种的叶片表面的捕获能力(Heuchera Villosa Michx,Helleborus x Sternii Turrill,贝格尼州Cordifolia(Haw。)Sternb。,Hedera Helix L 。)用于生活墙和一个沿着英国斯托克托特的繁忙路的绿色屏幕。该方法使用于预雨暴露的叶片表面和雨后暴露的叶片表面上的PM密度(使用相同叶的叶子),并使用配对的T检验来识别由于降雨导致的PM的任何显着降低。使用环境扫描电子显微镜(ESEM)和ImageJ图像分析软件来量化叶子上的PM密度。在所有四种物种中估算了六种不同的降雨持续时间的16mm HR(-1)模拟雨后,叶片上的PM叶片减少,以评估降雨对不同种植种类的任何可变影响。 PM叶片叶片的PM洗涤水平41 mm HR(-1)雨也使用相同的降雨持续量评估,评估降雨强度对PM冲洗的任何差异影响。这项研究揭示了降雨对在所用的所有降雨持续时间内洗掉叶片的颗粒的显着影响。广义线性模型中的单向ANOVA在不同种植物中的植物中的预热下降雨对降雨的差异影响。较高强度的降雨量(41毫米(-1))对PM洗涤的影响显着更高,而16 mm HR(-1)雨。本研究的结果表明,通过回收它们的捕获表面,绿壁在整个年度暂时充当PM陷阱的潜力。

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