School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai, 200240, China; Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Ministry of Science and Technology, Ministry of Education, 800 Dongchuan Rd., Shanghai, 200240, China; Shanghai Urban Forest Ecosystem Research Station, National Forestry and Grassland Administration, 800 Dongchuan Rd., Shanghai, 200240, China.
College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China; Shanghai Academy of Environmental Sciences, Shanghai, 200233, China.
Environ Pollut. 2024 Nov 1;360:124785. doi: 10.1016/j.envpol.2024.124785. Epub 2024 Aug 21.
Respiratory health is negatively influenced by the dimensions and constituents of particulate matter (PM). Although mass concentration is widely acknowledged to be key to assessing dust retention by urban trees, the role of plant leaves in filtering PM from the urban atmosphere, particularly regarding the particle dimensions and chemical constituents of retained PM on the leaf, remains elusive. Here we combined single-particle aerosol mass spectrometry and a particle resuspension chamber to investigate how urban tree species capture PM constituents. Results indicate that leaves are efficient in capturing relatively larger particles (1.0-2.0 μm). Compositionally, airborne particles were mostly composed of elemental carbon (EC, 20%), organic carbon (OC, 17%), and secondary reaction products (13%). However, leaf surfaces revealed a preference for retaining crustal species, comprising 55% of captured particulates. Notably, specific tree species demonstrated varied affinities for different PM constituents: Osmanthus fragrans Lour. predominantly captured levoglucosan (LEV), indicative of its efficiency against biomass burning particles, whereas Cinnamomum camphora (L.) J.Presl and Sabina chinensis var. kaizuca W.C.Cheng & W.T.Wang were more effective in capturing heavy metals (HMs). XGBoost modelling identified indicator ions, e.g., CN, NO, NO, PO, with SHAP values surpassing 0.035, suggesting a preferential adsorption of these ions among different tree species. These findings demonstrate that the particulate capture efficiency of urban tree species varies with species-specific leaf properties, particularly in their ability to selectively adsorb particles containing hazardous constituents such as LEV and HMs. This study provides a scientific basis for the strategic selection of tree species in urban forestry initiatives aimed at improving air quality and public health.
呼吸系统健康会受到颗粒物(PM)的粒径和成分的负面影响。尽管质量浓度被广泛认为是评估城市树木粉尘滞留能力的关键因素,但植物叶片在过滤城市大气中的 PM 方面的作用,尤其是关于叶片上滞留 PM 的颗粒尺寸和化学成分,仍然难以捉摸。在这里,我们结合单颗粒气溶胶质谱仪和颗粒再悬浮室来研究城市树种如何捕获 PM 成分。结果表明,叶片能够有效地捕获相对较大的颗粒(1.0-2.0 μm)。从成分上看,空气中的颗粒主要由元素碳(EC,20%)、有机碳(OC,17%)和二次反应产物(13%)组成。然而,叶片表面显示出对保留地壳物质的偏好,占捕获颗粒的 55%。值得注意的是,特定的树种对不同的 PM 成分表现出不同的亲和力:Osmanthus fragrans Lour. 主要捕获左旋葡聚糖(LEV),表明其对生物质燃烧颗粒的去除效率较高,而 Cinnamomum camphora (L.) J.Presl 和 Sabina chinensis var. kaizuca W.C.Cheng & W.T.Wang 则更有效地捕获重金属(HM)。XGBoost 模型确定了指示离子,如 CN、NO、NO、PO,其 SHAP 值超过 0.035,表明不同树种对这些离子具有优先吸附性。这些发现表明,城市树种的颗粒捕获效率因物种特异性的叶片特性而异,特别是在选择性吸附含有 LEV 和 HM 等危险成分的颗粒方面。本研究为城市林业计划中树种的战略选择提供了科学依据,旨在改善空气质量和公众健康。