Affiliation:
1. Hunan Botanical Garden, Changsha 410116, China
2. Hunan Changsha-Zhuzhou-Xiangtan City Cluster National Research Station of Forest Ecosystem, Changsha 410116, China
3. College of Science, Central South University of Forestry and Technology, Changsha 410004, China
Abstract
With the rapid advancement of the global economy, there has been a noticeable escalation in the level of inhalable particulate matter (PM) pollution in the atmosphere. The utilization of plants has been recognized as an effective means to mitigate the escalation in the atmospheric PM concentration through the capture and retention of this particulate matter on their leaves. This research focuses on investigating the PM retention capacity of nine commonly found greening plant species in Changsha, China, located in the country’s mid-subtropical region. In this study, we employed an air aerosol generator (QRJZFSQ-II) and a portable leaf area meter (LI-3000C) to systematically evaluate the PM retention in unit leaf area for different PM values. In addition, the leaf surface structure was observed via scanning electron microscopy, and the relationship between the leaf microstructure and the retained particles was quantitatively analyzed. The results showed that (1) there were significant differences in the retention of TSP, PM10, and PM2.5 per unit leaf area among the nine greening tree species analyzed. Rosa saturata was found to have the best retention effect regarding TSP and PM2.5, and Rhododendron simsii was found to have the best retention effect regarding PM10. (2) There were significant differences in the contents of TSP and PM2.5 per leaf area among the different tree species with different life forms (p < 0.05), with the order of retention being shrub > arbor (needle leaves) > arbor (broad leaves). (3) Coniferous plants have a deep leaf surface texture, which is conducive to capturing more particles on their leaf surface, and (4) the long stomata diameter was significantly negatively correlated with PM retention, and the stomata density was significantly positively correlated with PM retention. However, the short diameter and small area of stomata demonstrated no significant correlation with PM retention (p < 0.05). Considering the selection of suitable tree species for greening in urban air pollution control, we suggest that Osmanthus fragrans, Pseudolarix amabilis, Rosa saturata, and Rhododendron simsii be used more frequently in urban areas affected by severe air pollution.
Funder
Hunan Forestry Science and Technology Innovation Project of China
Forest Science and Technology Innovation Project of Hunan Province
Hunan Forestry Science and Technology Innovation Project
Key Scientific Research Project of Hunan Provincial Department of Education
Reference39 articles.
1. Bui, H.T., Odsuren, U., Kim, S.Y., and Park, B.J. (2022). Particulate Matter Accumulation and Leaf Traits of Ten Woody Species Growing with Different Air Pollution Conditions in Cheongju City, South Korea. Atmosphere, 13.
2. Particulate matter on foliage of Betula pendula, Quercus robur, and Tilia cordata: Deposition and ecophysiology;Popek;Environ. Sci. Pollut. Res.,2020
3. Study on Characteristics of Elements in PM2.5 during Haze-Fog Weather in Winter in Urban Beijing;Wang;Spectrosc. Spect. Anal.,2013
4. The effect of particulate matter retention by common green plants in central Tropical Asia;Li;J. Northwest For. Univ.,2021
5. Using synthetic tracers as a proxy for summertime PM2.5 air quality over the Northeastern United States in physical climate models;Fang;Geophys. Res. Lett.,2013