Study of the effectiveness of several tree canopy types on roadside green belt in influencing the distribution of NO2 gas emitted from transportation

3rd International Seminar On Sciences "Sciences On Precision And Sustainable Agriculture"

Desyana, R.D.^1 ; Sulistyantara, B.^1 ; Nasrullah, N.^1 ; Fatimah, I.S.^1

Department of Landscape Architecture, Bogor Agricultural University, Kampus IPB Darmaga, Jl. Meranti, Wing 9/Level 4, Bogor

16680, Indonesia^1

关键词: Air pollutants;    Air samplers;    Air sampling;    Control area;    Gmelina arborea;    High potential;    Horizontal distribution;    Urban air pollution;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/58/1/012045/pdf
DOI  :  10.1088/1755-1315/58/1/012045

来源: IOP

【 摘 要 】

Transportation is one significant factor which contributes to urban air pollution. One of the pollutants emitted from transportation which affect human's health is NO2. Plants, especially trees, have high potential in reducing air pollutants from transportation through diffusion, absorbtion, adsorption and deposition. Purpose of this study was to analyze the effectiveness of several tree canopy types on roadside green belt in influencing distribution of NO2gas emitted from transportation. The study conducted in three plots of tree canopy in Jagorawi Highway: Bungur (Lagerstroemia speciosa), Gmelina (Gmelina arborea) and Tanjung (Mimusops elengi). The tree canopy ability in absorbing pollutant is derived by comparing air quality on vegetated area with ambience air quality at control area (open field). Air sampling was conducted to measure NO2concentration at elevation 1.5m, 5m and 10m at distance 0m, 10m and 30m, using Air Sampler Impinger. Concentration of NO2was analyzed with Griess-Saltzman method. From this research, the result of ANOVA showed that tree plot (vegetated area) affected significantly to NO2concentration. However the effect of distance from road and elevation was not significant. Among the plots, the highest NO2concentration was found on Control plot (area without tree canopy), while the lowest NO2concentration was found in Tanjung plot. Tanjung plot with round shape and high density canopy performed better in reducing NO2than Bungur plot with round shape and medium density canopy, regardless the sampling elevation and distance. Gmelina plot performed the best in reducing horizontal distribution of NO2concentration at elevation 1.5 and 5m, but the result at elevation 10m was not significant.