Assisted Deposition of PM2.5 from Indoor Air by Ornamental Potted Plants

Cao, Yanxiao; Li, Fēi; Wang, Yanan; Yu, Yu; Wang, Zhibiao; Ding, K. Y.

doi:10.3390/su11092546

Cited by 29 publications

(20 citation statements)

References 38 publications

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“…In other words, the potential and leaf area after 2 hours of exposure have a negative effect. The leaf structure is a distinct feature of individual species and affects the plant's capacity to block particulate matter in the air and adsorb particles (Saebø et al, 2012;Sehmel, 1980;Freer-Smith et al, 1997;Freer-Smith et al, 2014;Wang et al, 2010;Cao et al, 2019). In particular, the hairs on the leaf surface perform the role of holding the adsorbed particulate matter from being desorbed (Chen et al, 2017;Hwang et al, 2011).…”

Section: Particulate Matter Reduction Potential Of Plants By Exposure Timementioning

confidence: 99%

Assessment of the Particulate Matter Reduction Potential of Climbing Plants on Green Walls for Air Quality Management

Jeong

Kim

Han

et al. 2021

J. People Plants Environ

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Background and objective: To improve air quality, particulate matter (PM) can be reduced using green infrastructure. Therefore, in this study, we aimed to determine the particulate matter reduction potential of climbing plants used for green walls, an element of vertical green infrastructure. Methods: A sealed chamber with controlled environmental variables was used to assess the PM reduction level caused by climbing plants. PM concentration in the plant chamber was measured after two and four hours of PM exposure, and the reduction potential was assessed based on the leaf area. Results: Compared to the empty chamber (Control), the PM reduction speed per hour was higher in the plant chamber, which confirmed that climbing plants contribute to the reduction of PM in the air. The PM reduction speed immediately after exposure in the plant chamber was high, but this slowed over time. Additionally, PM has been continuously reduced in plants with large leaves. As a result of calculating the particulate matter reduction level based on leaf area, it was found that there was a difference by particle size. Actinidia arguta, Parthenocissus tricuspidata, Trachelospermum asiaticum, and Euonymus fortunei var. radicans showed a high reduction effect. The trichomes on the leaf surface of Trachelospermum asiaticum were found to affect PM reduction. Conclusion: PM adsorption on the leaf surface is an important factor in reducing its concentration. It was possible to compare different plants by quantifying the amount of PM reduction during a fixed time period. These results can be used as the basic data to select the plant species suitable for urban green walls in terms of PM reduction.

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Section: Particulate Matter Reduction Potential Of Plants By Exposure Timementioning

confidence: 99%

Assessment of the Particulate Matter Reduction Potential of Climbing Plants on Green Walls for Air Quality Management

Jeong

Kim

Han

et al. 2021

J. People Plants Environ

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show abstract

“…The indoor environmental standards are based on the current maintenance standards and recommended standards and are divided into five grades based on effects on humans [20][21][22], as shown in Table 3 below. Among the installed plants, Ficus (Ficus elastic and Ficus benghalensis) and Rhapis excelsa are effective at removing formaldehyde, xylene, and toluene, while Fragrant Aralia and Schefflera arboricola Hayata are known to be effective at purifying air [19]. Afterwards, changes in indoor air quality before and after garden installation were analyzed.…”

Section: Calculation Of An Indoor Environment Comprehensive Indoor Aimentioning

confidence: 99%

Evaluation of IAQ Management Using an IoT-Based Indoor Garden

Kim

Kwak

Kim³

et al. 2020

IJERPH

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This study was designed to verify the effectiveness of smart gardens by improving indoor air quality (IAQ) through the installation of an indoor garden with sensor-based Internet-of-Things (IoT) technology that identifies pollutants such as particulate matter. In addition, the study aims to introduce indoor gardens for customized indoor air cleaning using the data and IoT technology. New apartments completed in 2016 were selected and divided into four households with indoor gardens installed and four households without indoor gardens. Real-time data and data on PM2.5, CO2, temperature, and humidity were collected through an IoT-based IAQ monitoring system. In addition, in order to examine the effects on the health of occupants, the results were analyzed based on epidemiological data, prevalence data, current maintenance, and recommendation criteria, and were presented and evaluated as indices. The indices were classified into a comfort index, which reflects the temperature and humidity, an IAQ index, which reflects PM2.5 and CO2, and an IAQ composite index. The IAQ index was divided into five grades from “good” to “hazardous”. Using a scale of 1 to 100 points, it was determined as follows: “good (0–20)”, “moderate (21–40)”, “unhealthy for sensitive group (41–60)”, “bad (61–80)”, “hazardous (81–100)”. It showed an increase in the “good” section after installing the indoor garden, and the “bad” section decreased. Additionally, the comfort index was classified into five grades from “very comfortable” to “very uncomfortable”. In the comfort index, the “uncomfortable” section decreased, and the “comfortable” section increased after the indoor garden was installed.

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“…Indoor PM concentrations are increased by cooking, cleaning, and other indoor activ-ities, and also when outdoor air enters. Alternatives to reduce indoor PM include reducing generation of outdoor PM, reducing the causes of indoor PM, and preventing inflow of outdoor PM (Cao et al, 2019). These alternatives may lower the indoor PM concentrations by inhibiting the generation, but there are limitations in removing PM that is already formed indoors.…”

Section: Introductionmentioning

confidence: 99%

Evaluation on the Potential of 18 Species of Indoor Plants to Reduce Particulate Matter

Jeong

Yoon

Han

et al. 2020

J. People Plants Environ

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Background and objective: The main objective of this study is to measure the amount of particulate matter (PM) reduction under different characteristics of leaves in 18 different species of indoor plants. Methods: First, a particular amount of PM was added to the glass chambers (0.9×0.86×1.3 m) containing the indoor plant (height = 40 ± 20 ㎝), and the PM concentration were measured at 2-hour intervals. The experiment with the same conditions was conducted in the empty chamber as the control plot. Results: The range of PM reduction per unit leaf area of 18 species of experimental plants was 3.3-286.2 ㎍⋅m -2 leaf, total leaf area was 1,123-4,270 ㎠, and leaf thickness was 0.14-0.80 ㎜ and leaf size 2.27-234.47 ㎠. As time passed, the concentration of PM decreased more in the chamber with plants than in the empty chamber. Among the 18 indoor plants, the ones with the greatest reduction in PM2.5 in 2 hours and 4 hours of exposure to PM2.5 were Pachira aquatica and Dieffenbachia amoena. As the exposure time of PM increased, the efficiency of reducing PM2.5 was higher in plants with medium-sized leaves than plants with large or small leaves. The effect of reducing PM2.5 was higher in linear leaves than round or lobed leaves. Plants with high total leaf area did not have advantage in reducing PM because the leaves were relatively small and there were many overlapping parts between leaves. In the correlation between leaf characteristics and PM 2.5 reductions, all leaf area and leaf thickness showed a negative and leaf size showed a positive correlation with PM reduction. Conclusion:The PM reduction effect of plants with medium-sized leaves and long linear leaves was relatively high. Moreover, plants with a large total leaf area without overlapping leaves will have advantaged in reducing PM. Plants are effective in reducing PM, and leaf characteristics are an important factor that affects PM reduction.

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Assisted Deposition of PM2.5 from Indoor Air by Ornamental Potted Plants

Cited by 29 publications

References 38 publications

Assessment of the Particulate Matter Reduction Potential of Climbing Plants on Green Walls for Air Quality Management

Assessment of the Particulate Matter Reduction Potential of Climbing Plants on Green Walls for Air Quality Management

Evaluation of IAQ Management Using an IoT-Based Indoor Garden

Evaluation on the Potential of 18 Species of Indoor Plants to Reduce Particulate Matter

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