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利用同一科或属的物种进行变量控制方法研究毛状体和叶片形态对 PM 干沉积速度的个体影响。

Individual effects of trichomes and leaf morphology on PM dry deposition velocity: A variable-control approach using species from the same family or genus.

机构信息

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 Education, 800 Dongchuan Rd, Shanghai, 200240, China; Shanghai Urban Forest Ecosystem Research Station, National Forestry and Grassland Administration, 800 Dongchuan Rd., Shanghai, 200240, China.

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 Education, 800 Dongchuan Rd, Shanghai, 200240, China; Shanghai Urban Forest Ecosystem Research Station, National Forestry and Grassland Administration, 800 Dongchuan Rd., Shanghai, 200240, China; Key Laboratory for Urban Agriculture, Ministry of Agriculture and Rural Affairs, 800 Dongchuan Rd., Shanghai, 200240, China.

出版信息

Environ Pollut. 2021 Mar 1;272:116385. doi: 10.1016/j.envpol.2020.116385. Epub 2020 Dec 30.

Abstract

Urban green infrastructure is closely linked to the alleviation of pollution from atmospheric particulate matter. Although particle deposition has been shown to depend on leaf characteristics, the findings from earlier studies are sometimes ambiguous due to the lack of controlling variables. In this study, we investigated the impact of leaf morphological characteristics on PM dry deposition velocity by employing a control-variable approach. We focused on four indices: trichome density, petiole length, aspect ratio (width-to-length ratio), and fractal deviation. For each index, tree species were chosen from the same family or genus to minimize the influence of other factors and make a group of treatments for an individual index. The dry deposition velocities of PM were determined through application of an indirect method. The results revealed that the presence of leaf trichomes had a positive effect on PM dry deposition velocity, and a higher trichome density also led to a greater particle deposition velocity. Lower leaf aspect ratio, shorter petioles, and higher leaf fractal deviation were associated with greater PM dry deposition velocity. The control-variable approach allows to investigate the correlation between deposition velocity and a certain leaf characteristic independently while minimizing the effects of others. Thus, our study can clarify how a single leaf characteristic affects particle deposition velocity, and expound its potential mechanism more scientifically than the published studies. Our research points out the importance of controlling variables, and also provides ideas for future researches on related factors to be found. Meanwhile the results would help provide insight into design improvements or adaptive management for the alleviation of air pollution.

摘要

城市绿色基础设施与大气颗粒物污染的缓解密切相关。尽管已经表明颗粒沉积取决于叶片特征,但由于缺乏控制变量,早期研究的结果有时并不明确。在这项研究中,我们采用控制变量的方法研究了叶片形态特征对 PM 干沉降速度的影响。我们关注了四个指标:毛密度、叶柄长度、长宽比(宽长比)和分形偏差。对于每个指标,我们选择来自同一科或属的树种,以最小化其他因素的影响,并为每个指标制作一组处理。通过间接方法确定 PM 的干沉降速度。结果表明,叶片毛密度的存在对 PM 干沉降速度有积极影响,毛密度越高,颗粒沉积速度也越大。较低的叶长宽比、较短的叶柄和较高的叶片分形偏差与较大的 PM 干沉降速度有关。控制变量的方法可以在最小化其他因素影响的同时,独立研究沉积速度与特定叶片特征之间的相关性。因此,我们的研究可以比已发表的研究更科学地阐明单个叶片特征如何影响颗粒沉积速度,并阐述其潜在机制。我们的研究指出了控制变量的重要性,也为未来研究相关因素提供了思路。同时,研究结果有助于深入了解设计改进或缓解空气污染的适应性管理。

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