Particulate matter pollution, especially in an urban environment, is a health risk that affects many people, and the current trend shows that these problems will increase in the near future. To combat this form of air pollution, many different strategies and policies are investigated: from reducing the emission of particulate matter to finding ways of filtering the air. In this study, we explore the idea of using trees in an urban area to reduce particulate matter concentration. Since the absorption of fine dust by trees is a complex problem, influenced by many factors, we use a computer model to simulate the effect of various trees throughout the year to find the optimal candidate. We find that coniferous trees have a significant advantage, since they also absorb during the winter months, where the air quality is worse. We also conclude that a large enough area of a well-suited tree species is a feasible way to increase air quality and in some cases even to reduce the particulate matter pollution to an acceptable level.

中文翻译：

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模拟树木全年减少城市地区颗粒物污染的潜力

颗粒物污染，尤其是在城市环境中，是影响许多人的健康风险，目前的趋势表明，这些问题在不久的将来会增加。为了对抗这种形式的空气污染，研究了许多不同的策略和政策：从减少颗粒物的排放到寻找过滤空气的方法。在这项研究中，我们探索了在城市地区使用树木来降低颗粒物浓度的想法。由于树木对细尘的吸收是一个复杂的问题，受多种因素的影响，我们使用计算机模型来模拟全年各种树木的效果，以寻找最佳候选者。我们发现针叶树具有显着的优势，因为它们在空气质量较差的冬季也会吸收。