Wang Junrui, Kong Weihan, Li Haimei, Sun Xiaodan, Sun Yingkun, Liu Yu
College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao, Shandong, China.
Marine Ecology Research Center, First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China.
Front Plant Sci. 2025 Jan 22;16:1495212. doi: 10.3389/fpls.2025.1495212. eCollection 2025.
Plant leaves can reduce the concentration of atmospheric particulate matter (PM) by absorbing it in the air, and this mitigates the deleterious human health effects of PM. However, the ability of plant leaves to retain dust is limited and varies continually due to various meteorological factors such as rainfall, extreme wind speed, and PM concentrations. Here, we measured the ability of seven types of turfgrass with leaves similar in macromorphology but varying in micromorphology to retain dust particles of different sizes; we also analyzed the effects of various meteorological factors, such as rainfall, maximum wind speed, and PM concentration, on the ability of leaves to retain particles of different sizes. There were significant differences in the ability of the seven types of turfgrass to retain particles of different sizes; the dust retention capacity of Zoysia sinensis was the strongest(2.04 g·m), and that of was the weakest(1.39 g·m). The elution rates of PM>10 after rainfall of 3 mm and 4 mm were significantly higher than those of PM and PM; the elution rates of PM, PM, and PM increased as the amount of rainfall increased. When the amount of dust on leaves is low, wind promotes increases in leaf PM retention. When the blade retains a certain amount of dust, the maximum wind speed is greater than 9.1 m·s, which leads to a decrease in the dust retention of lawn grass blades. The concentrations of PM and PM were positively correlated with the retention of particles of different particle sizes. Therefore, evaluations of the dust retention ability of plant leaves require consideration of the effects of local rainfall, maximum wind speed, PM concentration, and other factors.
植物叶片可通过吸收空气中的大气颗粒物(PM)来降低其浓度,从而减轻PM对人类健康的有害影响。然而,植物叶片的滞尘能力有限,且由于降雨、极端风速和PM浓度等各种气象因素而不断变化。在此,我们测量了七种宏观形态相似但微观形态不同的草坪草叶片滞留不同大小尘埃颗粒的能力;我们还分析了降雨、最大风速和PM浓度等各种气象因素对叶片滞留不同大小颗粒能力的影响。七种草坪草滞留不同大小颗粒的能力存在显著差异;中华结缕草的滞尘能力最强(2.04 g·m),而[此处原文缺失一种草坪草名称]的滞尘能力最弱(1.39 g·m)。3毫米和4毫米降雨后,>10微米的PM洗脱率显著高于PM和PM;PM、PM和PM的洗脱率随降雨量增加而增加。当叶片上的尘埃量较低时,风促进叶片PM滞留量增加。当叶片保留一定量的尘埃时,最大风速大于9.1米·秒,这导致草坪草叶片的滞尘量下降。PM和PM的浓度与不同粒径颗粒的滞留量呈正相关。因此,评估植物叶片的滞尘能力需要考虑当地降雨、最大风速、PM浓度等因素的影响。