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首页> 外文期刊>Environmental Pollution >'Green barriers' for air pollutant capture: Leaf micromorphology as a mechanism to explain plants capacity to capture particulate matter
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'Green barriers' for air pollutant capture: Leaf micromorphology as a mechanism to explain plants capacity to capture particulate matter

机译:空气污染物捕获的“绿色障碍”:叶片微晶作为解释植物捕获颗粒物质的能力的机制

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摘要

Finding ways to mitigate atmospheric particulate matter (PM) is one of the key steps towards fighting air pollution and protecting people's health. The use of green infrastructure is one option that could help improving urban air quality and promoting more sustainable cities. Detailed knowledge of how plants capture particulate matter can support plant selection for this purpose. Previous studies have primarily focused on 2D techniques to assess the micromorphology of plant leaves. Here, 3D optical profilometry and SEM imaging (2D) are used to quantify leaf roughness and other micromorphological leaf traits of three contrasting plant species (Hedera helix 'Woerner', Thuja occidentalis 'Smaragd', and Phyllostachys nigra) located within a mixed-species green barrier. These techniques have allowed us to identify the relative distribution of adhered atmospheric PM with respect to the surface topography of leaves, with high spatial resolution. Leaf surface roughness did not show a direct relationship with PM deposition; however, the descriptors width, depth and frequency of the grooves are important to explain PM capture by the leaves. Additionally, the presence of wax on leaves was relevant for PM adherence. All species captured PM, with their overall PM capture efficiency ranked from highest to lowest as follows: Thuja occidentalis Hedera helix Phyllostachys nigra. All green barrier species contributed to air quality improvement, through PM capture, regardless of their location within the barrier. Having multiple species in a green barrier is beneficial due to the diverse range of leaf micromorphologies present, thus offering different mechanisms for particulate matter capture.
机译:寻找减轻大气颗粒物质(PM)的方法是对抗空气污染和保护人们健康的关键步骤之一。绿色基础设施的使用是一种选择,可以帮助提高城市空气质量,推动更多可持续城市。详细了解植物捕获颗粒物质如何支持植物选择。以前的研究主要集中在2D技术上,以评估植物叶片的微晶。这里,3D光学轮廓测量和SEM成像(2D)用于量化三种对比植物物种的叶粗糙度和其他微晶叶状性状(Hedera Helix'Woerner',Thuja Occidentalis'Smaragd'和Phyllostachys nigra)位于混合物种内绿色障碍。这些技术使我们能够识别粘附大气PM相对于叶片表面形貌的相对分布,具有高空间分辨率。叶面粗糙度没有显示与PM沉积的直接关系;然而,凹槽的描述符宽度,深度和频率对于解释叶子捕获是重要的。另外,蜡对叶片的存在与PM粘附相关。所有物种被捕获的PM,其总理PM捕获效率从最高降至最低,如下所示:Thuja occidentalis& hedera helix& Phyllostachys nigra。所有绿色障碍物种都导致空气质量改进,通过PM捕获,无论其在屏障内的位置如何。由于存在的多样化的叶片微晶体,在绿色屏障中具有多种物种是有益的,因此为颗粒物质捕获提供不同的机制。

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