Next Article in Journal
Determination of the Agricultural Eco-Compensation Standards in Ecological Fragile Poverty Areas Based on Emergy Synthesis
Next Article in Special Issue
External Pressure, Corporate Governance, and Voluntary Carbon Disclosure: Evidence from China
Previous Article in Journal
Social Interaction Scaling for Contact Networks
Previous Article in Special Issue
Multilevel Environmental Governance: Vertical and Horizontal Influences in Local Policy Networks
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sustainability
Volume 11
Issue 9
10.3390/su11092546
sustainability-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
Erratum published on 26 December 2019, see Sustainability 2020, 12(1), 229.
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

by
Yanxiao Cao
1,2,*,
Fei Li
1,2,
Yanan Wang
2,
Yu Yu
3,
Zhibiao Wang
2,
Xiaolei Liu
2 and
Ke Ding
2
1
Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China
2
School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China
3
Low Carbon Water Research Center, School of Environment and Nature Resources, Renmin University of China, Beijing 10087, China
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(9), 2546; https://doi.org/10.3390/su11092546
Submission received: 28 March 2019 / Revised: 19 April 2019 / Accepted: 29 April 2019 / Published: 2 May 2019
(This article belongs to the Special Issue Characteristics, Health Risk Assessment and Sustainable Management of Air Pollutants in Asia)
Browse Figures
Versions Notes

Abstract

:
This study clarifies whether vegetation can promote the decrease of indoor PM2.5 concentration. The indoor PM2.5 concentration in two periods of 2013 in Wuhan city was simulated by cigarette burning in a series of sealed chambers. Six common indoor potted plants were selected as samples to investigate the effect of plants on PM2.5 decline. The effects of potted plants on PM2.5 decline were analyzed from three aspects: plant species, leaf characteristics and relative humidity. The results show that the presence of potted plants accelerated the decline of PM2.5. The additional removal rates (excluding gravity sedimentation of PM2.5 itself) for Aloe vera and Epipremnum aureum were 5.2% and 30% respectively, when the initial PM2.5 concentration was around 200 μg/m3. The corresponding values were 0% and 17.2%, respectively, when the initial PM2.5 was around 300 μg/m3. Epipremnum aureum was the optimum potted plant for PM2.5 sedimentation, due to its rough and groove leaf surface, highest LAI (leaf area index, 2.27), and strong humidifying capacity (i.e., can promote chamber humidity to 65% in 30–60 minutes.). Actual indoor studies have also confirmed that a certain amount of Epipremnum aureum can promote the decrease of indoor PM2.5. This paper provides insights on reducing the concentration of fine particulate matter by indoor greening efforts.

1. Introduction

Over the last two decades, the impact of PM on human health have drawn increasing attention [1]. In particular, particulate matter with diameter of 2.5 μm or less (PM2.5), owned larger specific surface area and bigger adsorption ability, along with various toxic compounds, e.g., heavy metals, acid oxides, organic pollutants and pathogenic microorganisms [2,3] accumulated in human bronchi and lungs [4], cause premature mortality, pulmonary inflammation, accelerated atherosclerosis, and altered cardiac functions [5]. Besides, continuous exposure to high levels of PM2.5 may trigger cardiovascular diseases [6]. Therefore, PM2.5 has become a major concern for air pollution control because of its harmful impact on human health.
Urban residents spend 80% or more of their time indoors—at home, work, school or in leisure activities [7,8], and long-term exposure to indoor PM2.5 particles is a major threat to public health. Researchers have carried out extensive researches on the sources and control strategies of indoor PM2.5. The high pollution levels that are found in most large cities are transported into the indoor atmosphere by ventilation and infiltration airflows [1]. Solutions to reduce indoor PM2.5 are categorized into three aspects: reducing outdoor PM2.5 sources, reducing indoor PM2.5 sources and reducing the transport of outdoor PM2.5 into the indoor atmosphere. The most widespread approach in commercial buildings is the use of cloth filters, which are integrated in mechanical ventilation systems [1]. Portable, high-efficiency particulate air cleaners help remove residential indoor PM2.5, although the cost is unaffordable for most families.
In the search for eco-friendly and sustainable control measures, the ability of plants to capture and remove atmospheric PM particles has been widely investigated [9,10,11,12,13]. Scholars from various countries constructed fields and simulations (i.e., wind tunnels [14] and models [15]) on different scales to investigate PM deposition by plants. They focused on the following aspects: (i) vegetation factors, such as forest coverage, forest structure, vegetation species [16,17], tree structure and leaf characteristics [18]; (ii) meteorological conditions, such as precipitation, wind speed and boundary layer heights, air temperature, as well as relative humidity (RH) [14]; and (iii) PM characteristics, e.g., particle size distribution, chemical components, etc. [19]. These studies were usually carried out outdoors, some valuable conclusions had been obtained, which have important guiding significance for urban greening.
Over the last three decades, researches have demonstrated that indoor potted plants can significantly reduce the concentrations of most urban air pollutants, i.e. NO2, CO2, VOC, especially benzene and formaldehyde [20,21,22,23,24,25]. While it was established that urban vegetation can decrease outdoor PM2.5 levels, the specific role of potted plants in elimination of indoor PM2.5 particles is unknown. Thus, this study aimed at investigating the specific role of potted plants in indoor PM2.5 reduction. In particular, this work endeavors (i) to explore the effect of different potted plants on PM2.5 removal, (ii) to investigate the influence of potted plants on PM2.5 under different indoor PM2.5 concentrations, (iii) to further illustrate the difference in PM2.5 deposition caused by potted plants, (iv) and to provide reference suggestions for indoor greening efforts.

2. Materials and Methods

2.1. Material and Equipment

2.1.1. Potted-Plants Selection

Six potted plants bought from local markets were chosen as samples: Chlorophytum comosum, Spathiphyllum floribundum, Epipremnum aureum, Ficus elastica, Sansevieria and Aloe vera (Figure 1). We chose plants of similar age and growth status, with plant height of 25–35 cm.

2.1.2. Testing Instrument

Blounton HOL-1209 air quality detector (Brenton medical technology (Beijing) Co., Ltd., China) was employed as a PM2.5 detector, the measuring range of the instrument was 0–999 μg/m3, and its precision was ±10%. This instrument can simultaneously measure PM2.5 concentration and RH. A blank chamber was used to calibrate the detector. Mean values were obtained from two replicates of sample tests to reduce uncertainties.

2.1.3. Experiment Equipment

Particulate matter produced from cigarette smoke was mainly below 10.0 μm, and particulate matter below 2.5 μm in size accounted for more than 80% [26], therefore, cigarette smoke was chosen as the source of PM2.5 in this study. Experiments were conducted using a series of closed chambers with a volume of 60 L (40 cm length × 30 cm width × 50 cm height), as seen in Figure 2. To eliminate the effect of electrostatic force, the test chamber was made of glass panels with thickness of 6 mm [27]. A 1 cm round hole with a piston was made in the middle of the front face, used to insert the probe of the instrument. To prevent any leak during the tests, the chamber was sealed by both glue and adhesive foam-rubber insulation tape, and the test hole was sealed with a rubber stopper unless measuring. A small fan fixed inside each chamber to provide complete mixing of the smoke and a thermometer was used to check temperature and calibrate RH. The laboratory was illuminated over the experimental periods.

2.2. Experimental Method

2.2.1. Removal Efficiency of PM2.5 by Potted-Plants and Its Influencing Factors

According to the historical air quality data of Wuhan in 2013, the average concentration of PM2.5 ranged from 11 μg/m3 to 284 μg/m3. The monitoring data of indoor PM2.5 in Wuhan in 2013 [28] was taken as a reference (40–340μg/m3). Taking into account the impact of the most disadvantageous conditions, the initial PM2.5 concentration in this experiment were set to around 200 μg/m3 and 300 μg/m3, respectively.
The leaves of the potted plants were first washed and naturally dried, and the pots were wrapped in plastic bags. Each potted plant was placed inside the test chamber, and an empty chamber served as blank control. All the test chambers were filled with equal amounts of cigarette smoke (cigarette burning time inside was controlled and a fan was used to mix the smoke). The top door of each chamber was closed until PM2.5 concentration was in the test range. PM2.5 and RH were recorded every 10 minutes for 180 minutes. The experiment was carried out in a temperature-controlled laboratory at 20 ± 3 ℃. All experiments were repeated twice.
After the experiment, six kinds of plant leaves were picked, and nail polish was applied to them to obtain the epidermis [29]. Fine structure of the leaf surface was observed by inverted fluorescence microscope (BDS 200-FL, Chongqing Optec Instrument CO., LTD, Chongqing, China). For determination of the leaf area index (LAI, leaf area/ground area, dimensionless), three pieces of large, medium and small leaves were taken from the six potted plants. After scanning, the area of each leaf was measured according to the principle that the pixel ratio in Photoshop software was equal to the area ratio, and the corresponding average value was recorded. Total plant area is the product of average leaf area and leaf number. The maximum vertical projected area of the plant was taken and the method of area measurement was the same as above. The leaf area index is the ratio of the two areas [30,31,32].

2.2.2. Actual Indoor Study

Two rooms with the same internal structure and external conditions, adjacent to each other with an area of 16 m2 were selected as test rooms. After closing for a week, the indoor PM2.5 concentrations were basically the same. Eight pots of Epipremnum aureum were placed in one room, and there was no potted plant in the other room. After a cigarette was burned in both rooms, PM2.5 concentration values were recorded every 10 minutes and continuously monitored for 180 minutes. Since the test room area was less than 50 m2, one measuring point was set according to the requirements of the indoor air monitoring technical guidelines in the Indoor Air Quality Standard (GB/T 18883–2002) [33]. The measuring point was located in the center of the room, 120 cm above the ground. The experiment was repeated twice under similar conditions and the experimental data were averaged.

3. Results and Discussion

3.1. Deposition Effect of PM2.5 by Potted Plants under Different PM2.5 Concentrations

The variation of PM2.5 particles in the chamber with potted plant exhibited a downtrend similar to those in the empty chamber under different PM2.5 concentrations (Figure 2). Moreover, the test chamber with potted plants showed superior performance on PM2.5 removal than the empty chamber in both conditions, except that Aloe vera exhibited poor PM2.5 removal efficiency at high PM2.5 concentrations. Besides, for most potted plants, PM2.5 curves declined more sharply at low PM2.5 concentrations (Sansevieria was an exception), while it was better under high concentration conditions in terms of total PM2.5 removal, suggesting that the density of the particles settling upon the leaf surface increased with increasing PM2.5 concentration [34].
Additionally, the maximum PM2.5 removal rate for the six potted plants, as well as the empty chamber, occurred in the first hour (Figure 3), and total PM2.5 removal rate in the empty chamber exceeded 40% under both conditions, indicating that gravitational sedimentation was an effective way in decreasing the concentration of solid particles [27]. However, the removal rate of PM2.5 in test chambers were higher than that in the empty chamber under both conditions, suggesting that the presence of potted plants promoted the deposition of PM2.5. The most intuitive reason can be attributed to the presence of potted plants occupying a certain volume in the chamber, thereby shortening the effective distance between PM particles and collectible surfaces [27].

3.2. Influencing Factors of PM2.5 Deposition by Potted Plants

To investigate the dust settlement capability of different potted plants, influencing factors included plant species, leaf characteristics and RH were investigated as follows.

3.2.1. Influence of Plant Species

As seen in Figure 3 and Figure 4, the decline rates of PM2.5 particles in chambers with different potted plants were considerably different. Significant removal efficiency (71.5% at high PM2.5 and 59.2% at low PM2.5) was observed in the chamber with Epipremnum aureum, while the chamber with Aloe vera showed a slight advantage over the empty chamber. Relatively stable removal rates were observed in the three chambers with Sansevieria, Spathiphyllum floribundum and Ficus elastica, while for Sansevieria, the PM2.5 removal rate increased at high PM2.5.
Figure 4 showed removal rates of potted plants at different initial PM2.5 concentrations for every hour. PM2.5 removal rates in the test chamber with potted plants were higher than that of the empty chamber in the first hour. It decreased with time in the next two hours, except for Sansevieria, which exhibited a higher removal rate in the third hour than that in the second hour.
When ignoring the gravity sedimentation of PM2.5 itself, the additional removal rates for Aloe vera and Epipremnum aureum were 5.2% and 30% respectively, when the initial PM2.5 concentration was around 200 μg/m3. The corresponding values were 0% and 17.2%, respectively, when the initial PM2.5 was around 300 μg/m3. This indicated that there were other reasons accounting for these results.

3.2.2. Leaf Surface Characteristics and LAI

The removal of PM pollutants from the air by plants was typically due to deposition [35]. The morphological features of a leaf are considered to be an important factor affecting PM deposition [18,36]. Studies have shown that leaves with fine groove-like tissues, fluff, sticky, waxes and roughened surfaces was conducive to the adsorption of PM [18,37,38]. Moreover, leaf surface roughness was closely related to the number of retained particulates, with rougher surfaces corresponding to more rugged folds and grooves and a stronger retention ability [38]. However, leaves with relatively smooth leaf surfaces, and grooves that are shallow and sparse have relatively weak dust retention abilities [39].
All six potted plants have a waxy layer on the leaf surface. Images from inverted fluorescence microscope observation showed that there were roughened surfaces with grooves on the leaves of Chlorophytum comosum, Spathiphyllum floribundum, and Epipremnum aureum; Chlorophytum comosum and Epipremnum aureum had obvious ridges on their leaf surface, as shown in Figure 5. By comparison, Ficus elastica and Aloe vera showed less rough and flat surfaces, which were not conducive for dust to settle. A distinctive rough and tumorous leaf surface structure appeared in Sansevieria. In general, the high removal rate of PM in test chambers with Chlorophytum comosum and Epipremnum aureum was correlated with their leaf characteristics.
Other studies have shown that the LAI of a plant is positively correlated with the dust retention capacity of the plant [40]. After measurement and calculation, the order of LAI for six potted plants used in this study was as follows: Epipremnum aureum (2.27) > Ficus elastica (1.41) > Spathiphyllum floribundum (1.09) > Aloe vera (0.83) > Chlorophytum comosum (0.51) > Sansevieria (0.26). Considering the leaf surface structure presented above, Epipremnum aureum had favorable leaf characteristics and the highest LAI value, which was consistent with the highest PM2.5 removal rate in the test chamber. However, the lowest PM2.5 removal rate occurred in the test chamber with Aloe vera, not Sansevieria with the lowest LAI value. These findings suggest that PM2.5 removal rate was not always positively correlated with the LAI value.

3.2.3. Influence of RH

Due to the difference among season, location, and meteorological variables, as well as characteristics of PM2.5, the correlation between RH and PM2.5 differed in most studies [41,42,43]. However, there were some consistent conclusions: RH was positively correlated with sulfate and nitrate concentration, but negatively associated with organic carbon (OC) and elemental carbon (EC) concentration [1,44,45]. According to a study, total carbon (TC) accounts for about 66% of the total mass of PM2.5 after cigarette burning, and OC accounts for the majority of TC [46]. In this study, cigarette smoke was used as the source of PM2.5, which resulted in a high carbon content in PM2.5 components.
The hygroscopicity of PM particles increased with the increase of RH, especially when the humidity was above 65%, which promoted the aggregation of fine particles into larger particles [47]. Figure 6 showed that the trend of RH curve for the same plant under different PM2.5 conditions was almost the same. Moreover, the six potted plants can be classified into two groups. The first was group A, which included Epipremnum aureum, Chlorophytum comosum and Spathiphyllum floribundum, showing a fast-rising trend in RH in early stage of the experiment, and RH in the group A chambers increased to 65% in a very short time, i.e., 30 min for (a) and 60 min for (b). The other three plants were assigned to group B. RH in the group B chambers increased slowly and finally remained around 70%. The time that group B spent to attain the same RH (65%) was twice as long as group A. The RH in the empty chamber remained stable throughout the experiment.
Combining the above PM2.5 data, the three potted plants that caused the fastest decline of PM2.5 belonged to group A when initial PM2.5 was around 200 ug/m3, which confirmed that the PM2.5 deposition was positively correlated with the increase of RH in this study. However, the corresponding relationship changed with the increase of PM2.5; the order of Spathiphyllum floribundum in group A was replaced by Sansevieria in group B (Figure 6(b)), the most likely reason being the inadaptability of Spathiphyllum floribundum to high PM in its flowering period. The underlying causes need to be further explored.

3.3. Actual Indoor Study

On the basis of the PM2.5 removal performance of the six potted plants, Epipremnum aureum was selected for the actual study. The initial PM2.5 concentrations in both rooms were around 250 μg/m³ (Figure 7). At 20 min, PM2.5 concentration in the room with Epipremnum aureum started lower than the empty room, in the entire evaluation period. Final PM2.5 concentrations of the two rooms were 148 (empty room) and 135 μg/m³ (room with Epipremnum aureum), respectively, and the corresponding removal rates were 40.8% (empty room) and 46.0% (room with Epipremnum aureum), respectively. Results from the actual study indicated that the presence of Epipremnum aureum enhanced the deposition of PM2.5, although the performance was not so positive as that in the test chamber. The possible reasons were as follows: (i) particulate pollutants were transported to leaf surfaces by gravity sedimentation or impaction [31], while the Epipremnum aureum were too small (about 30 cm) in comparison with indoor height (280 cm). They cannot provide more contact area for PM2.5 deposition, (ii) eight pots of Epipremnum aureum were not enough to significantly increase RH of the room with 16 m2, resulting in poor aggregation settlement, and (iii) the experimenter’s movement may cause resuspension of fine particles.

4. Conclusions

Potted plants in a sealed chamber have the potential to improve PM2.5 deposition in this study, especially those with rough and groove leaf surfaces, as well as high LAI, like Epipremnum aureum. The presence of Epipremnum aureum in the test chamber promoted the removal rates of PM2.5 to 71.46% (when initial PM2.5 was around 200 μg/m3) and 59.25% (when initial PM2.5 was around 300 μg/m3) in three hours, respectively, while the removal rate of PM2.5 in the empty chamber was around 42.0% under both conditions. In the actual indoor study, the effect of Epipremnum aureum on deposition was not as significant as the test chamber. Other factors, such as plant height and density, should be taken into account in terms of indoor applications. In general, a certain number of potted plants like Epipremnum aureum are beneficial in reducing indoor PM2.5, while in practical application, considering the limitations of indoor spaces, indoor vertical greenery will be an optimum method to promote PM2.5 settlement. In addition, there exist inadequate aspects in this research. A quantitative study on the contribution of each factor need to be further undertaken.

Author Contributions

Y.C. organized this study, conducted the study design, and drafted the manuscript. F.L. contributed to the study design, and revision of the manuscript. Y.W. contributed to the conduct of the experiment. Y.Y. contributed to the conduct of the experiment. Z.W. contributed to purchase of the plants and participated in the actual study. X.L. contributed to calculation of LAI. K.D. contributed to observation of leaf characteristics.

Funding

This study was financially supported by the Humanities and Social Sciences Foundation of Ministry of Education of China (Youth Fund: 17YJCZH081), the Nature Science Foundation of Hubei Province (2018CFB722), and Fundamental Research Funds for the Central Universities from Zhongnan University of Economics and Law (2722019JCG073).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Martins, N.R.; Guilherme, C.D.G. Impact of PM2.5 in indoor urban environments: A review. Sustain. Cities Soc. 2018, 42, 259–275. [Google Scholar] [CrossRef]
  2. Widziewicz, K.; Loska, K. Metal induced inhalation exposure in urban population: A probabilistic approach. Atmos. Environ. 2016, 128, 198–207. [Google Scholar] [CrossRef]
  3. Li, Z.; Wen, Q.; Zhang, R. Sources, health effects and control strategies of indoor fine particulate matter (PM2.5): A review. Sci. Total Environ. 2017, 586, 610–622. [Google Scholar] [CrossRef] [PubMed]
  4. Baeza-Squiban, A.; Bonvallot, V.; Boland, S.; Marano, F. Airborne particle evoke an inflammatory response in human airway epithelium. Activation of transcription factors. Cell Biol. Toxicol. 1999, 15, 375–380. [Google Scholar] [CrossRef] [PubMed]
  5. Pope, C.A.; Burnett, R.T.; Thurston, G.D.; Thun, M.J.; Calle, E.E.; Krewski, D.; Godleski, J.J. Cardiovascular mortality and long-term exposure to particulate air pollution. Circulation 2004, 109, 71–77. [Google Scholar] [CrossRef]
  6. Brook, R.D.; Rajagopalan, S.; CAIII, P.; Brook, J.R.; Bhatnagar, A.; Diez-Roux, A.V.; Holguin, F.; Hong, Y.; Luepker, R.V.; Mittleman, M.A.; et al. Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association. Circulation 2010, 121, 2331–2378. [Google Scholar] [CrossRef]
  7. Chen, C.; Zhao, B.; Zhou, W.; Jiang, X.; Tan, Z. A methodology for predicting particle penetration factor through cracks of windows and doors for actual engineering application. Build. Environ. 2012, 47, 339–348. [Google Scholar] [CrossRef]
  8. Habre, R.; Coull, B.; Moshier, E.; Godbold, J.; Grunin, A.; Nath, A.; Castro, W.; Schachter, N.; Rohr, A.; Kattan, M.; et al. Sources of indoor air pollution in New York City residences of asthmatic children. J. Expo. Sci. Environ. Epidemiol. 2014, 24, 269–278. [Google Scholar] [CrossRef]
  9. Nowak, D.J.; Hirabayashi, S.; Bodine, A.; Hoehn, R. Modeled PM2.5 removal by trees in ten U.S. cities and associated health effects. Environ. Pollut. 2013, 178, 395–402. [Google Scholar] [CrossRef]
  10. Tong, Z.; Whitlow, T.H.; Macrae, P.F.; Landers, A.J.; Harada, Y. Quantifying the effect of vegetation on near-road air quality using brief campaigns. Environ. Pollut. 2015, 201, 141–149. [Google Scholar] [CrossRef] [PubMed]
  11. Tong, Z.; Whitlow, T.H.; Landers, A.; Flanner, B. A case study of air quality above an urban roof top vegetable farm. Environ. Pollut. 2016, 208, 256–260. [Google Scholar] [CrossRef] [PubMed]
  12. Beckett, K.P.; Freer-Smith, P.H.; Taylor, G. Particulate pollution capture by urban trees: Effect of species and windspeed. Glob. Chang. Biol. 2000, 6, 995–1003. [Google Scholar] [CrossRef]
  13. Willis, K.J.; Petrokofsky, G. The natural capital of city trees. Science 2017, 356, 374–376. [Google Scholar] [CrossRef] [PubMed]
  14. Ji, W.; Zhao, B. A wind tunnel study on the effect of trees on PM2.5, distribution around buildings. J. Hazard. Mater. 2018, 346, 36–41. [Google Scholar] [CrossRef]
  15. Tong, Z.; Baldauf, R.W.; Isakov, V.; Deshmukh, P.; Zhang, K.M. Roadside vegetation barrier designs to mitigate near-road air pollution impacts. Sci. Total Environ. 2016, 541, 920–927. [Google Scholar] [CrossRef] [PubMed]
  16. Speak, A.F.; Rothwell, J.J.; Lindley, S.J.; Smith, C.L. Urban particulate pollution reduction by four species of green roof vegetation in a UK city. Atmos. Environ. 2012, 61, 283–293. [Google Scholar] [CrossRef] [Green Version]
  17. Popek, R. Particulate matter on foliage of 13 woody species: Deposition on surfaces and phytostabilisation in waxes—A 3-Year study. Int. J. Phytormediation 2013, 15, 245–256. [Google Scholar] [CrossRef] [PubMed]
  18. Sæbø, A.; Popek, R.; Nawrot, B.; Hanslin, H.M.; Gawronska, H.; Gawronski, S.W. Plant species differences in particulate matter accumulation on leaf surfaces. Sci. Total Environ. 2012, 427, 347–354. [Google Scholar] [CrossRef] [PubMed]
  19. Ram, S.S.; Majumder, S.; Chaudhuri, P.; Chanda, S.; Santra, S.C.; Chakraborty, A.; Sudarshan, M. A review on air pollution monitoring and management using plants with special reference to foliar dust adsorption and physiological stress responses. Crit. Rev. Environ. Sci. Technol. 2015, 45, 2489–2522. [Google Scholar] [CrossRef]
  20. Torpy, F.R.; Irga, P.J.; Burchett, M.D. Profiling indoor plants for the amelioration of high CO2 concentrations. Urban For. Urban Green. 2014, 13, 227–233. [Google Scholar] [CrossRef]
  21. Wolverton, B.C.; Johnson, A.; Bounds, K. Interior Landscape Plants for Indoor Air Pollution Abatement; National Aeronautics and Space Administration: Davidsonville, MD, USA, 1989.
  22. Coward, M.; Ross, D.; Coward, S.; Cayless, S.; Raw, G. Pilot Study to Assess the Impact of Green Plants on NO2 Levels in Homes; Building Research Establishment: Watford, UK, 1996. [Google Scholar]
  23. Orwell, R.L.; Wood, R.A.; Tarran, J.; Torpy, F.; Burchett, M.D. Removal of benzene by the indoor plant/substrate microcosm and implications for air quality. Water Soil Air Pollut. 2004, 157, 157,193–207. [Google Scholar] [CrossRef]
  24. Teiri, H.; Pourzamani, H.; Hajizadeh, Y. Phytoremediation of VOCs from indoor air by ornamental potted plants: A pilot study using a palm species, under the controlled environment. Chemosphere 2018, 197, 375. [Google Scholar] [CrossRef]
  25. He, Q.Q.; Zhou, J.H. Research advance in purification of formaldehyde-polluted indoor air by potted plants. Acta Agric. Jiangxi 2014, 26, 44–48. (In Chinese) [Google Scholar]
  26. Bu, Z.M.; Xiang, J.B.; Chen, Y.B.; Pan, W.B.; Wang, H.G.; Mo, J.H. Environmental chamber testing and practical assessment of PM2.5 removal effect of air cleaners. Heat. Vent. Air Cond. 2013, 43, 64–67. (In Chinese) [Google Scholar]
  27. Ryu, J.; Kim, J.J.; Byeon, H.; Go, T.; Lee, S.J. Removal of fine particulate matter (PM2.5) via atmospheric humidity caused by evapotranspiration. Environ. Pollut. 2019, 245, 253–259. [Google Scholar] [CrossRef]
  28. Zhu, M. Research on Indoor Air Quality Control Based on PM2.5 Concentration Standards. Master’s Thesis, Wuhan University of Science Technology, Wuhan, China, 2014. (In Chinese). [Google Scholar]
  29. Liu, M.Z.; Nuerbayi, A.; Pan, X.L. Preparation of leaf stomatal slice with nail polish. Bull. Biol. 2005, 10, 44. (In Chinese) [Google Scholar]
  30. Aydogan, A.; Montoya, L.D. Formaldehyde removal by common indoor plant species and various growing media. Atmos. Environ. 2011, 45, 2675–2682. [Google Scholar] [CrossRef]
  31. Barclay, H.J. Conversion of total leaf area to projected leaf area in lodgepole pine and Douglas-fir. Tree Physiol. 1998, 18, 185–193. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Smith, W.K.; Schoettle, A.W.; Cui, M. Importance of the method of leaf area measurement to the interpretation of gas exchange of complex shoots. Tree Physiol. 1991, 8, 121–127. [Google Scholar] [CrossRef]
  33. NEPAC (National Environmental Protection Agency of China), GB/T18883-2002. Indoor Air Quality Standards; National Environmental Protection Agency: Beijing, China, 2003. (In Chinese)
  34. Wang, L.; Hasi, E.; Liu, L.Y.; Gao, S.Y. Physico-chemical characteristics of ambient particles settling upon leaf surface of six conifers in Beijing. Chin. J. Appl. Ecol. 2007, 18, 487–492. [Google Scholar]
  35. Shannon, G. Review of plants to mitigate particulate matter, ozone as well as nitrogen dioxide air pollutants and applicable recommendations for green roofs in montreal, quebec. Environ. Pollut. 2018, 241, 378–387. [Google Scholar]
  36. Sehmel, G.A. Particle and gas dry deposition: A review. Atmos. Environ. 1980, 14, 983–1011. [Google Scholar] [CrossRef]
  37. Beckett, K.P.; Freer-Smith, P.H.; Taylor, G. Urban woodlands: Their role in reducing the effects of particulate pollution. Environ. Pollut. 1998, 99, 347–360. [Google Scholar] [CrossRef]
  38. Feng, S.; Wang, L.H.; Sun, F.B.; Li, G.; Yu, L.; Wang, Y.J.; Zeng, X.R.; Yan, H.; Dong, L.; Bao, Z.Y. Study on different particulate matter retention capacities of the leaf surfaces of eight common garden plants in Hangzhou, China. Sci. Total Environ. 2019, 652, 939–951. [Google Scholar]
  39. Weerakkody, U.; Dover, J.W.; Mitchell, P.; Reiling, K. Evaluating the impact of individual leaf traits on atmospheric particulate matter accumulation using natural and synthetic leaves. Urban For. Urban Green. 2018, 30, 98–107. [Google Scholar] [CrossRef]
  40. Janhäll, S. Review on urban vegetation and particle air pollution—Deposition and dispersion. Atmos. Environ. 2015, 105, 130–137. [Google Scholar] [CrossRef]
  41. Kim, B.M.; Seo, J.; Kim, J.Y.; Lee, J.Y.; Kim, Y. Transported vs. Local contributions from secondary and biomass burning sources to PM2.5. Atmos. Environ. 2016, 144, 24–36. [Google Scholar] [CrossRef]
  42. Olvera Alvarez, H.A.; Myers, O.B.; Weigel, M.; Armijos, R.X. The value of using seasonality and meteorological variables to model intra-urban PM2.5 variation. Atmos. Environ. 2018, 182, 1–8. [Google Scholar] [CrossRef]
  43. Han, Y.; Qi, M.; Chen, Y.; Shen, H.; Liu, J.; Huang, Y. Influences of ambient air PM2.5 concentration and meteorological condition on the indoor PM2.5 concentrations in a residential apartment in beijing using a new approach. Environ. Pollut. 2015, 205, 307–314. [Google Scholar] [CrossRef]
  44. Tai, A.P.K.; Mickley, L.J.; Jacob, D.J. Correlations between fine particulate matter (PM2.5) and meteorological variables in the united states: Implications for the sensitivity of PM2.5 to climate change. Atmos. Environ. 2010, 44, 3976–3984. [Google Scholar] [CrossRef]
  45. Cheng, Y.; He, K.B.; Du, Z.Y.; Zheng, M.; Duan, F.K.; Ma, Y.L. Humidity plays an important role in the PM2.5 pollution in Beijing. Environ. Pollut. 2015, 197, 68–75. [Google Scholar] [CrossRef] [PubMed]
  46. Zheng, C. Characteristics of emissions of air pollutants from environmental tobacco smoke. Ph.D. Thesis, Hunan University, Changsha, Hunan, 2007. (In Chinese). [Google Scholar]
  47. Li, C.; Cui, S.X.; Yang, W.; Wang, X.J.; Ming, J.; Chen, Y.P.; Fu, Z.R. Experimental research on effects of the relative humidity on the size distributions of indoor fine particles. J. Saf. Environ. 2017, 14, 254–258. [Google Scholar]
Sustainability 11 02546 g001 550
Figure 1. Picture of potted plants: (a) Chlorophytum comosum, (b) Spathiphyllum floribundum, (c) Epipremnum aureum, (d) Ficus elastica, (e) Aloe vera, (f) Sansevieria.
Figure 1. Picture of potted plants: (a) Chlorophytum comosum, (b) Spathiphyllum floribundum, (c) Epipremnum aureum, (d) Ficus elastica, (e) Aloe vera, (f) Sansevieria.
Sustainability 11 02546 g001
Sustainability 11 02546 g002 550
Figure 2. The experimental setup.
Figure 2. The experimental setup.
Sustainability 11 02546 g002
Sustainability 11 02546 g003 550
Figure 3. Temporal variation curves of PM2.5 particle concentrations under different initial PM2.5, (a) when initial PM2.5 was around 200 μg/m3, (b) when initial PM2.5 was around 300 μg/m3. The upper and lower limits of the concentration error bar represent standard deviation of PM2.5 concentrations.
Figure 3. Temporal variation curves of PM2.5 particle concentrations under different initial PM2.5, (a) when initial PM2.5 was around 200 μg/m3, (b) when initial PM2.5 was around 300 μg/m3. The upper and lower limits of the concentration error bar represent standard deviation of PM2.5 concentrations.
Sustainability 11 02546 g003
Sustainability 11 02546 g004 550
Figure 4. Removal rate per hour for PM2.5 under different initial PM2.5 concentrations: (a) initial PM2.5 was around 200 μg/m3, (b) initial PM2.5 was around 300 μg/m3.
Figure 4. Removal rate per hour for PM2.5 under different initial PM2.5 concentrations: (a) initial PM2.5 was around 200 μg/m3, (b) initial PM2.5 was around 300 μg/m3.
Sustainability 11 02546 g004
Sustainability 11 02546 g005 550
Figure 5. Leaf morphologies of six potted plants (10 × 10): (a) Chlorophytum comosum, (b) Spathiphyllum floribundum, (c) Epipremnum aureum, (d) Ficus elastica, (e) Sansevieria, (f) Aloe vera.
Figure 5. Leaf morphologies of six potted plants (10 × 10): (a) Chlorophytum comosum, (b) Spathiphyllum floribundum, (c) Epipremnum aureum, (d) Ficus elastica, (e) Sansevieria, (f) Aloe vera.
Sustainability 11 02546 g005
Sustainability 11 02546 g006 550
Figure 6. Variations of RH in the test chamber during PM2.5 monitoring: (a) initial PM2.5 was around 200 μg/m3, (b) initial PM2.5 was around 300 μg/m3.
Figure 6. Variations of RH in the test chamber during PM2.5 monitoring: (a) initial PM2.5 was around 200 μg/m3, (b) initial PM2.5 was around 300 μg/m3.
Sustainability 11 02546 g006
Sustainability 11 02546 g007 550
Figure 7. Temporal variation curves of PM2.5 concentrations in an actual indoor environment.
Figure 7. Temporal variation curves of PM2.5 concentrations in an actual indoor environment.
Sustainability 11 02546 g007

Share and Cite

MDPI and ACS Style

Cao, Y.; Li, F.; Wang, Y.; Yu, Y.; Wang, Z.; Liu, X.; Ding, K. Assisted Deposition of PM2.5 from Indoor Air by Ornamental Potted Plants. Sustainability 2019, 11, 2546. https://doi.org/10.3390/su11092546

AMA Style

Cao Y, Li F, Wang Y, Yu Y, Wang Z, Liu X, Ding K. Assisted Deposition of PM2.5 from Indoor Air by Ornamental Potted Plants. Sustainability. 2019; 11(9):2546. https://doi.org/10.3390/su11092546

Chicago/Turabian Style

Cao, Yanxiao, Fei Li, Yanan Wang, Yu Yu, Zhibiao Wang, Xiaolei Liu, and Ke Ding. 2019. "Assisted Deposition of PM2.5 from Indoor Air by Ornamental Potted Plants" Sustainability 11, no. 9: 2546. https://doi.org/10.3390/su11092546

APA Style

Cao, Y., Li, F., Wang, Y., Yu, Y., Wang, Z., Liu, X., & Ding, K. (2019). Assisted Deposition of PM2.5 from Indoor Air by Ornamental Potted Plants. Sustainability, 11(9), 2546. https://doi.org/10.3390/su11092546

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop