“绿色壁垒”对空气污染物的捕获:叶微形态学作为解释植物捕获颗粒物能力的一种机制。

'Green barriers' for air pollutant capture: Leaf micromorphology as a mechanism to explain plants capacity to capture particulate matter.

机构信息

Department of Landscape Architecture, The University of Sheffield, The Arts Tower, S10 2TN, Sheffield, UK.

Department of Materials Science and Engineering, The University of Sheffield, Mappin Street, S1 3JD, Sheffield, UK.

出版信息

Environ Pollut. 2021 Nov 1;288:117809. doi: 10.1016/j.envpol.2021.117809. Epub 2021 Jul 21.

Abstract

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.

摘要

寻找减轻大气颗粒物(PM)的方法是应对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有助于改善城市空气质量和促进更可持续城市发展的一种选择。详细了解植物如何捕获颗粒物可以支持为此目的选择植物。以前的研究主要集中在二维技术上,以评估植物叶片的微观形态。在这里,使用三维光学轮廓术和 SEM 成像(二维)来量化三种对比鲜明的植物物种(常春藤 'Woerner'、西洋杉 'Smaragd' 和 刚竹 '黑皮')的叶片粗糙度和其他微观形态特征。这些技术使我们能够以高空间分辨率识别与叶片表面形貌有关的附着大气 PM 的相对分布。叶片表面粗糙度与 PM 沉积之间没有直接关系;然而,凹槽的宽度、深度和频率描述符对于解释叶片对 PM 的捕获很重要。此外,叶片上蜡的存在与 PM 附着有关。所有物种都捕获了 PM,其整体 PM 捕获效率从高到低依次为:西洋杉>常春藤>刚竹。所有绿色屏障物种都通过捕获 PM 来改善空气质量,无论它们在屏障内的位置如何。绿色屏障中存在多种物种是有益的,因为存在多种不同的叶片微观形态,从而提供了不同的颗粒物捕获机制。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索