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http://dx.doi.org/10.9715/KILA.2021.49.6.037

Characteristics of Particulate Matter 2.5 by Type of Space of Urban Park - Focusing on the Songsanghyeon Plaza in Busan -  

Ahn, Rosa (Dept. of Landscape Architecture, Pusan National University)
Hong, Sukhwan (Dept. of Landscape Architecture, Pusan National University)
Publication Information
Journal of the Korean Institute of Landscape Architecture / v.49, no.6, 2021 , pp. 37-48 More about this Journal
Abstract
Roadside pollution has been identified as the main cause of PM2.5 in urban areas. Green infrastructure has been understood to mitigate air pollution from roadside traffic effectively, but complication depend on environmental variables. This study aimed to investigate the characteristic of PM2.5 by the type of space in an urban park located in Songsanghyeon Plaza, surrounded by a 12-lane road on all sides. Type of space was typically classified as roadside square (A), sunken square (B), a mix of trees and hedges/shrubs (C), trees only (D), and grass square (E) according to the land-use type and layers of trees. PM2.5 was measured for nine days, three days for three different Air Quality Forecasts-Good level (0~15㎍/m3), Moderate level (16~35㎍/m3), and Unhealthy level (36~75㎍/m3). The analysis result was as follows. At good levels, there was statistical significance in the order of D, E < B, C < A. In the case of moderate levels and unhealthy levels, D and E were statistically lower than other land-use types. The characteristic of PM2.5 in the urban park by type of space was affected by atmospheric flow into the road. The relatively high concentration of A and C was located near the roads. Although B was far away from the road, the reason for the high concentration of PM2.5 was that no structures blocked the air pollution. Thanks to the type of space C, filtering the air pollution from the roads, the concentration of PM2.5 in D and E was relatively low.
Keywords
Roadside Pollution; Green Infrastructure; Layers of Trees; Atmospheric Flow;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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