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生态学杂志 ›› 2021, Vol. 40 ›› Issue (10): 3259-3267.doi: 10.13292/j.1000-4890.202110.027

• 研究报告 • 上一篇    下一篇

20种常用绿化树种叶面滞尘能力及滞尘粒度特征

闫倩1,徐立帅1,段永红1*,潘李超2,刘立文1,杨玉莹1   

  1. 1山西农业大学资源环境学院, 山西太谷 030800;2中国海洋大学信息科学与工程学院, 山东青岛 266100)
  • 出版日期:2021-10-10 发布日期:2022-04-01

Dust retention capacity and dust particle size of 20 commonly used greening tree species.

YAN Qian1, XU Li-shuai1, DUAN Yong-hong1*, PAN Li-chao2, LIU Li-wen1, YANG Yu-ying1   

  1. (1College of Resources and Environment, Shanxi Agricultural University, Taigu 030800, Shanxi, China; 2School of Information Science and Engineering, Ocean University of China, Qingdao 266100, Shandong, China).
  • Online:2021-10-10 Published:2022-04-01

摘要: 基于对20种常用绿化树种天然环境中叶面滞尘量和滞尘粒度的分析,并与大气降尘对比,探讨不同树种滞尘能力和滞尘的粒度差异,揭示了叶片形态与表面结构对滞尘机械组成的影响。结果表明:20个树种叶面滞尘量存在显著差异,冬青卫矛滞尘量最大,为1.75 g·m-2;鸡树条最小,为0.40 g·m-2,相差4.4倍;各树种叶面滞尘粒度分布曲线可分为双峰分布、三峰分布与四峰分布3类,同期的大气降尘粒度分布曲线呈三峰分布,大气降尘与20个树种滞尘粒度差异表明植物叶片对大气降尘具有选择性滞留作用;不同树种叶片对不同粒径组分的颗粒物滞留能力有差异,叶片滞尘中PM>10的体积含量最大,具有沟槽的叶片有利于滞留PM2.5,具有突起结构的叶片有利于滞留PM>10的颗粒物;具有绒毛、沟槽和突起等粗糙微结构的叶片具有较强的滞尘能力。研究结果有助于针对不同污染源筛选合适的绿化树种,缓解大气污染,改善空气质量。

关键词: 粒度, 叶表微结构, 大气降尘, 叶面滞尘, 叶片形态

Abstract: Based on analyses of leaf surface dust retention and retained dust particle size of 20 commonly used greening tree species in natural environment, and comparison with atmospheric dust, we analyzed the difference in dust retention capacity and particle size of different species, and examined the effects of leaf morphology and leaf surface microstructure on the mechanical composition of retained dust. There were significant differences in dust retention capacities of the 20 species. Euonymus japonicus showed the highest dust retention capacity of 1.75 g·m-2, while Viburnum opulus subsp. calvescens showed the lowest value of 0.40 g·m-2, being 4.4 times less than that of E. japonicus. The distribution curves of particle size of retained dust on leaf surfaces of 20 species were classified into three categories: two-peak distribution, three-peak distribution, and four-peak distribution. The particle size of atmospheric dust in the same period showed a three-peak distribution. The difference in particle size between atmospheric dust and retained dust by the 20 tree species indicates that leaves had a selective retention effect on atmospheric dust. The leaves of different tree species had different retention capacities for particles of differentsizes, and the volumetric content of PM>10 from foliage dust was the largest. The blades with grooves were more conducive to the retention of PM2.5, while the leaves with protruding structures were more conducive to the retention of PM>10. Blades with rough microstructures, such as fluff, grooves, and protrusions, had strong dust retention capacity. Our results can guide the selection of suitable greening tree species for different pollution sources, alleviating air pollution, and improving air quality.

Key words: particle size, leaf surface microstructure, atmospheric dust, dust retention on leaf surface, leaf morphology.