Prioritization of Species Selection Criteria for Urban Fine Dust Reduction Planting

Cho, Dong-Gil

doi:10.13047/kjee.2019.33.4.472

Cited by 6 publications

(4 citation statements)

References 8 publications

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Section: Prunus Yedoensismentioning

confidence: 99%

“…The fine dust reduction planting model was composed of a multilayered structure of evergreen trees, deciduous trees, evergreen shrubs, deciduous shrubs, groundcover plants, and herbaceous flowers that block and absorb fine dust (Figure 4 and Table 3). Trees with fine dust reduction functions are mainly characterized by having hairy leaves, a wax layer, saw-toothed leaf margins, and dense leaves [28]. The fine dust reduction planting model was composed of a multilayered structure of evergreen trees, deciduous trees, evergreen shrubs, deciduous shrubs, groundcover plants, and herbaceous flowers that block and absorb fine dust (Figure 4 and Table 3).…”

Section: Evergreen Treesmentioning

confidence: 99%

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Development and Verification of the Effectiveness of a Fine Dust Reduction Planting Model for Socially Vulnerable Area

Choi

Chon

2021

Sustainability

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Creating a green infrastructure that is effective for reducing fine dust is a significant challenge for urban landscape planners. In this study, a fine dust reduction planting model that can be applied to socially vulnerable area was developed, and its effects were verified. Using PM10, PM2.5, temperature, relative humidity, wind direction, and wind speed measured for approximately one year, the changes in the concentration of fine dust according to the weather conditions were investigated. As a result of the analysis, there was a significant difference in the concentration of fine dust inside and outside the planting zone (p < 0.05). In addition, there is a significant difference between the fine dust reduction effect of the multilayered planting model and the single planting model (p < 0.05). The paper’s main findings are as follows: (1) When the green cover rate is over 50%, the concentration of fine dust is lower than that outside the planting zones. (2) Multilayered planting zones are more effective in reducing the concentration of fine dust than single-structured planting zones. (3) Multilayered planting zones reduce the concentration of fine dust by changing the microclimate. The results of this study can be used as basic data for small urban planting design to reduce fine dust for children’s health in socially vulnerable areas.

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Section: Prunus Yedoensismentioning

confidence: 99%

Section: Evergreen Treesmentioning

confidence: 99%

Development and Verification of the Effectiveness of a Fine Dust Reduction Planting Model for Socially Vulnerable Area

Choi

Chon

2021

Sustainability

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“…Kwon et al (2020) conducted an experiment on reducing PM in an acrylic chamber by dividing 12 species of woody plants for landscaping into the three groups of vines, trees, shrubs and small trees, and concluded that the vine plant group was more effective in removing PM than the other two groups. As such, many studies have been conducted on particulate pollutants for shrubs and trees in multi-layered plantings, but for herbaceous species, most of these studies have been focused on indoor foliage plants, such as air-purifying plants selected by NASA (Cho, 2019). Since research on the PM reduction effect of outdoor herbaceous plants has mainly been concentrated on limited ground cover plants such as Sedum species and grasses (Speak et al, 2012), research on the effect of various ground cover plants has been lacking.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the Particulate Matter Removal Capacity of 11 Herbaceous Landscape Plants

Kwon

Odsuren

Kim

et al. 2021

J. People Plants Environ

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Background and objective Particulate matter (PM) has a fatal effect on health. There have been many studies on the use of plants such as trees and shrubs as eco-friendly and sustainable biofilter for the removal of PM. In forming more green space, ground cover plants play an important role in multi-layered planting. This study was conducted to investigate the ability of plants to reduce PM, targeting Korean native ground cover plants with high availability in urban green spaces. Methods For 4 species of Asteraceae, 4 species of Liliaceae, and 3 species of Rosaceae, one species of plants at a time were placed in an acrylic chamber (800 × 800 × 1000 mm, L × W × H) modeling an indoor space. After the injection of PM, the amount of PM remaining in the chamber over time was investigated. Results For all three types of PM (PM10, PM2.5, PM1), significant difference occurred in the amount of PM remaining between plant species after 1 hour in the Liliaceae chamber, 3 hours in the Asteraceae chamber, and 5 hours in the Rosaceae chamber. With Liliaceae, the leaf area and the amount of PM remaining in the chamber showed a negative (−) correlation. With the Asteraceae and Rosaceae, there was a weak negative correlation between the leaf area and the amount of PM remaining in the chamber. Conclusion When using ground cover plants as a biofilter to remove PM, it is considered effective to select a species with a large total leaf area, especially for Liliaceae.

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“…In a study on PM removal efficiency according to the morphological characteristics of plant leave types, such as needle, compound, small and large leaves, Son et al (2019) asserted that PM adhesion occurred frequently in the wax layer, which meant that needle-leaf trees with high wax layer content displayed high PM10 removal amount. Cho (2019) pointed out the problem that domestic and overseas studies on plants for PM reduction have mainly focused on plants' absorption function rather than their adhesion function, and as a result tree species for PM reduction were selected very unsystematically and studies were carried out mostly based on indoor foliage plants such as air purification plants selected by NASA.…”

Section: Introductionmentioning

confidence: 99%

Removal Potential of Particulate Matter of 12 Woody Plant Species for Landscape Planting

Kwon

Urrintuya

Kim

et al. 2020

J. People Plants Environ

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Background and objective: Particulate matter (PM) is one of the serious environmental problems and threatens human health. Plants can clean the air by removing PM from the atmosphere. This study was carried out to investigate the PM removal efficiency of 12 species of woody plants. Methods: Actinidia arguta, Dendropanax morbiferus, Fraxinus rhynchophylla, Parthenocissus tricuspidata, Pittosporum tobira, Rhaphiolepis indica, Rhapis, Salix integra, Salix koreensis, Schisandra chinensis, Viburnum odoratissimum var. awabuki, and Vitis coignetiae were used as plant material. Six 15 cm (D) pots were placed in an acrylic chamber of 800 (D) × 800 (W) × 1000 (H) mm. The LED panel was used as a light source. The reduction of PM10, PM2.5, and PM1 for 300 minutes after the injection of PM was automatically measured. Results: The leaf area and the amount of PM in the chamber showed a negative correlation. 12 species of plants were compared by dividing the plants into 3 groups according to their characteristics: vines, trees, and shrubs and small trees. In the vine plant group, the averages of PM10, PM2.5, and PM1 were 7.917%, 8.796%, and 30.275%, respectively. In the shrubs and small trees group, the average of PM10, PM2.5, and PM1 were 10.142%, 11.133%, and 36.448%, respectively. In the trees group, the average of PM10, PM2.5, and PM1 were 11.475%, 12.892%, and 40.421%, respectively. When the initial concentration was 100%, PM10, PM2.5, and PM1 of Viburnum odoratissimum var. awabuki with the largest leaf area were 5.6%, 6.3%, and 21.0% after 5 hours, respectively, the best results among 12 species of plants. Conclusion:The vine plant group was more effective in removing PM than the other two groups. In the tree groups, the fact that the leaf development was relatively inactive at a plant height of 30 cm was considered to have an effect on the removal of particulate matter.

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Prioritization of Species Selection Criteria for Urban Fine Dust Reduction Planting

Cited by 6 publications

References 8 publications

Development and Verification of the Effectiveness of a Fine Dust Reduction Planting Model for Socially Vulnerable Area

Development and Verification of the Effectiveness of a Fine Dust Reduction Planting Model for Socially Vulnerable Area

Comparison of the Particulate Matter Removal Capacity of 11 Herbaceous Landscape Plants

Removal Potential of Particulate Matter of 12 Woody Plant Species for Landscape Planting

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