Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul, 08826, Republic of Korea.
Urban Forests Division, National Institute of Forest Science, Seoul, 02455, Republic of Korea.
Environ Pollut. 2024 Apr 15;347:123699. doi: 10.1016/j.envpol.2024.123699. Epub 2024 Mar 7.
As global air pollution, particularly fine particulate matter (PM), has become a major environmental problem, various PM mitigation technologies including green infrastructure have received significant attention. However, owing to spatial constraints on urban greening, there is a lack of management plans for urban forests to efficiently mitigate PM. In this study, we assessed the PM reduction capabilities of Pinus densiflora (Korean red pine) and Quercus acutissima (sawtooth oak) by measuring the changes of PM concentrations using an experimental chamber system. In addition, the PM reduction efficiency in 90 min (PMRE) and the amount of PM reduction per leaf area (PMR) were compared based on arrangement structures and density levels. The results showed that the PM reduction by plants was significantly greater than that of the control experiment without any plants, and an additional reduction effect of approximately 1.38 times was induced by a 1.5 m s air flow. The PMRE of Korean red pine was the highest at medium density. In contrast, the PMRE of sawtooth oak was the highest at high density. The PMR of both species was highest at low densities. The different responses of the species to total reduction were well explained by total leaf area (TLA). The PMRE of both species was positively correlated with TLA. The PMR of sawtooth oak was approximately 2.3 times greater than that of Korean red pine. However, there were no significant differences in both PMRE and PMR between the arrangement structures. Our findings reveal the potential mechanisms of vegetation in reducing PM according to arrangement structure and density. This highlights the importance of efficiently using urban green spaces with spatial constraints on PM mitigation in the future.
随着全球空气污染,特别是细颗粒物(PM)的增加,已经成为一个主要的环境问题,各种 PM 缓解技术,包括绿色基础设施,已经受到了广泛关注。然而,由于城市绿化的空间限制,缺乏城市森林管理计划,以有效地缓解 PM。在这项研究中,我们通过使用实验箱系统测量 PM 浓度的变化,评估了红松(Pinaceae densiflora)和麻栎(Quercus acutissima)对 PM 的减少能力。此外,根据排列结构和密度水平,比较了 90 分钟内的 PM 去除效率(PMRE)和单位叶面积的 PM 去除量(PMR)。结果表明,植物对 PM 的去除作用明显大于没有任何植物的对照实验,并且在 1.5 m/s 的气流下,额外的去除效果约为 1.38 倍。红松在中等密度时的 PMRE 最高。相比之下,麻栎在高密度时的 PMRE 最高。两种树种的 PMR 在低密度时最高。两种树种对总去除的不同响应很好地解释了总叶面积(TLA)。两种树种的 PMRE 均与 TLA 呈正相关。麻栎的 PMR 约为红松的 2.3 倍。然而,排列结构对 PMRE 和 PMR 均没有显著影响。我们的研究结果揭示了植被根据排列结构和密度减少 PM 的潜在机制。这强调了在未来利用具有空间限制的城市绿地有效缓解 PM 的重要性。