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A systematic review of the leaf traits considered to contribute to removal of airborne particulate matter pollution in urban areas.
Environmental Pollution ( IF 8.9 ) Pub Date : 2020-11-24 , DOI: 10.1016/j.envpol.2020.116104
Karina Corada 1 , Huw Woodward 1 , Hiba Alaraj 1 , C Matilda Collins 1 , Audrey de Nazelle 1
Affiliation  

Global urban planning has promoted green infrastructure (GI) such as street trees, shrubs or other greenspace in order to mitigate air pollution. Although considerable attention has been paid to understanding particulate matter (PM) deposition on GI, there has been little focus on identifying which leaf traits might maximise airborne PM removal. This paper examines existing literature to synthesize the state of knowledge on leaf traits most relevant to PM removal. We systematically reviewed measurement studies that evaluated particulate matter accumulated on leaves on street trees, shrubs green roofs and green walls, for a variety of leaf traits. Our final selection included 62 papers, most from field studies and a handful from wind tunnel studies. The following were variously promoted as useful traits: coniferous needle leaves; small, rough and textured broadleaves; lanceolate and ovate shapes; waxy coatings, and high-density trichomes. Consideration of these leaf traits, many of which are also associated with drought tolerance, may help to maximise PM capture. Although effective leaf traits were identified, there is no strong or consistent evidence to identify which is the most influential leaf trait in capturing PM. The diversity in sampling methods, wide comparison groups and lack of background PM concentration measures in many studies limited our ability to synthesize results. We found that several ancillary factors contribute to variations in the accumulation of PM on leaves, thus cannot recommend that selection of urban planting species be based primarily on leaf traits. Further research into the vegetation structural features and standardization of the method to measure PM on leaves is needed.



中文翻译:

对被认为有助于去除城市地区空气悬浮颗粒物污染的叶片特征进行系统评价。

全球城市规划促进了绿色基础设施 (GI),例如行道树、灌木或其他绿地,以减轻空气污染。尽管已经对了解 GI 上的颗粒物 (PM) 沉积给予了相当多的关注,但很少关注确定哪些叶子特征可以最大限度地去除空气中的 PM 去除。本文检查了现有文献,以综合与 PM 去除最相关的叶片性状的知识状态。我们系统地回顾了测量研究,这些研究评估了在行道树、灌木绿色屋顶和绿色墙壁上积累的颗粒物质,以了解各种叶子特征。我们的最终选择包括 62 篇论文,大部分来自实地研究,少数来自风洞研究。以下被各种推广为有用的特性:针叶针叶;小的,粗糙和有纹理的阔叶;披针形和卵形;蜡质涂层和高密度毛状体。考虑这些叶片性状,其中许多也与耐旱性有关,可能有助于最大限度地捕获 PM。尽管确定了有效的叶片性状,但没有强有力或一致的证据来确定哪种叶片性状对捕获 PM 最有影响。许多研究中采样方法的多样性、广泛的比较组和缺乏背景 PM 浓度测量限制了我们综合结果的能力。我们发现有几个辅助因素会导致叶片上 PM 积累的变化,因此不能建议城市种植物种的选择主要基于叶片性状。

更新日期:2020-11-25
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