城市植被PM2.5去除能力的季节和空间变化

IF 7.3 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution Pub Date : 2025-02-07 DOI:10.1016/j.envpol.2025.125800

Wei Yang , Wenpeng Lin , Yue Li , Yiwen Shi , Yi Xiong

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引用次数: 0

摘要

细颗粒物（PM2.5）是造成城市空气污染最严重的因素之一，对人类健康和环境质量构成重大风险。城市植被作为一种天然的缓解污染的方法，可以通过吸附和沉积等过程有效降低空气中有害颗粒物的浓度。虽然许多研究已经量化了城市植被在PM2.5去除中的作用，但人们对这一过程在城市环境中的空间变异性和季节性波动仍知之甚少。此外，很少有研究定量地探讨影响这种能力的环境因素。本文以上海市为例，将i-Tree生态模型与局地气候带（lcz）分类相结合，估算了2022年城市植被对PM2.5的影响。结果表明，植被对PM2.5的去除效果显著，年总去除量为835 t，单位叶面积平均去除量为0.51 g。全年空气质量最高改善21.7%，平均改善4.09%。去除通量全年呈现明显的“双峰”格局，峰值出现在春末夏末。不同区域PM2.5去除能力存在显著的空间差异，排名如下：开放式低层建筑>；大型低层>；布什/灌木比;散落的树木>；别人。值得注意的是，开放式低层区域在去除通量和总去除量方面都显示出相当大的潜力。38 ~ 42mm的蒸散量对去除PM2.5最有效。但当蒸散量超过50mm时，脱除效率表现出明显的边际递减效应，与叶片气孔开闭调控密切相关。这项研究的结果强调了植被在改善空气质量方面的重要性，并为城市规划和环境政策提供了有价值的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Estimating the seasonal and spatial variation of urban vegetation's PM2.5 removal capacity

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Estimating the seasonal and spatial variation of urban vegetation's PM2.5 removal capacity

Fine particulate matter (PM_2.5) is one of the most severe factors contributing to urban air pollution, posing significant risks to human health and environmental quality. Urban vegetation, acting as a natural method for pollution mitigation, can effectively reduce harmful air particle concentrations through processes like adsorption and deposition. While much research has quantified urban vegetation's role in PM_2.5 removal, the spatial variability and seasonal fluctuations of this process in urban environments remain poorly understood. Furthermore, few studies have quantitatively explored the environmental factors that influence this capability. Using Shanghai as a case study, this research estimates the PM_2.5 reduction by urban vegetation in 2022, integrating the i-Tree Eco model with Local Climate Zones (LCZs) classification. The results indicate that vegetation plays a significant role in PM_2.5 removal, with a total annual removal of 835 tons and an average removal rate of 0.51 g

\cdot m^{- 2} \cdot {y e a r}^{- 1}

per unit leaf area. The maximum annual air quality improvement reached 21.7%, with an average of 4.09%. The removal flux exhibited a clear "double peak" pattern throughout the year, with peaks occurring in late spring and late summer. Significant spatial variations in PM_2.5 removal capacity were observed across different LCZs, ranked as follows: Dense Trees > Open Lowrise > Large Lowrise > Bush/Shrub > Scattered Trees > Others. Notably, Open Lowrise areas demonstrated considerable potential in both removal flux and total removal. The 38–42 mm evapotranspiration range was found to be the most effective for PM_2.5 removal. However, when evapotranspiration exceeded 50 mm, removal efficiency showed a clear diminishing marginal effect, closely linked to the regulation of leaf stomatal opening and closing. The findings of this study underscore the importance of vegetation in improving air quality and provide valuable insights for urban planning and environmental policy.

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来源期刊

Environmental Pollution 环境科学-环境科学

CiteScore

16.00

自引率

6.70%

发文量

2082

审稿时长

2.9 months

期刊介绍： Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.