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http://dx.doi.org/10.13087/kosert.2021.24.4.61

Analysis of the effect of street green structure on PM2.5 in the walk space - Using microclimate simulation -  

Kim, Shin-Woo (Graduate School of Seoul National University Seoul)
Lee, Dong-Kun (Dept. of Landscape Architecture and Rural System Engineering, Seoul National University)
Bae, Chae-Young (Interdisciplinary program in Landscape Architecture & Integrated major in smart city global convergence, Seoul National University)
Publication Information
Journal of the Korean Society of Environmental Restoration Technology / v.24, no.4, 2021 , pp. 61-75 More about this Journal
Abstract
Roadside greenery in the city is not only a means of reducing fine dust, but also an indispensable element of the city in various aspects such as improvement of urban thermal environment, noise reduction, ecosystem connectivity, and aesthetics. However, in studies dealing with the effect of reducing fine dust through trees in existing urban spaces, microscopic aspects such as the adsorption effect of plants were dealt with, structural changes such as the width of urban buildings and streets, and the presence or absence of trees, Impact studies that reflect the actual form of In this study, the effect of greenery composition applicable to urban space on PM2.5 was simulated through the microclimate epidemiologic model ENVI-met, and field measurements were performed in parallel to verify the results. In addition, by analyzing the results of fine dust background concentration, wind speed, and leaf area index, the sensitivity to major influencing variables was tested. As a result of the study, it was confirmed that the fine dust reduction effect was the highest in the case with a high planting amount, and the reduction effect was the greatest at a low background concentration. Based on this, the cost of planting street green areas and the effect of reducing PM2.5 were compared. The results of this study can contribute as a basis for considering the effect of pedestrian space on air quality when planning and designing street green spaces.
Keywords
street tree layout scenarios; Street canyon; PM2.5; ENVI-met model; Microscale simulations;
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