learning from trees: trees might be responsible for air …...zamioculcas 13.5 72963 30137 541 56...

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Introduction Particulate matter is a mixture of solid particles and liquid droplets suspended in the air. It is the most harmful form of air pollution, including metallic compounds (nickel compound, lead compound), bacteria and viruses. The drawback of the particles Environment (Miller, 2011) o Reduction of visibility o Acid rain Human’s healthy (Miller, 2011) o Respiratory disease o Heart attacks o Permanent DNA mutations o Premature death Assumption A lit incense stick produced the same amount of differently sized particles for each box. At the beginning, 1,000,000 PM0.3 were produced in each box. Figure 1: Particulate matter in air pollution and respiratory symptoms (Thecleanbreathinginstitute.com, 2019) Aims To investigate the absorption rate of particles on different plant leaves To correlate the effect of photosynthesis with absorption behaviour Methods Using a particle counter (PCE-PCO1) to measure outdoor data to find the trend change of air quality in the environment. Experiment setup (Controlled Experiments) o 4 boxes were used, with different plants in each box o An empty box used as control to determine the number of particles removed by plants Results Figure 2: The number of PM in the environment for 3 days from 21 st to 24 th of August, in Tianjin, China Figure 3: The number of PM in an empty box as control for 3 days from 21 st to 24 th of August, in Tianjin, China Figure 4: The number of PM surrounding Ficus Elastic in a box for 3 days from 21 st to 24 th of August, in Tianjin, China Figure 5: The number of PM surrounding Zamioculcas in a box for 3 days from 21 st to 24 th of August, in Tianjin, China Figure 6: The number of particulate matters surrounding Monstera Deliciosa in a box for 3 days from 21 st to 24 th of August, in Tianjin, China Discussion Figures 2 and 7 show the same overall trend in air quality in China and in the UK. It was found that the lowest number of particles is between 11:00 and 15:00, rather than morning or night when human activity is less. The temperature inversion affects the trend of air quality in the environment. Temperature inversion is when the upper air temperature is higher than the earth’s surface temperature thus forming a thermal inversion layer. This leads to particles not being able to diffuse due to a limited air circulation (Young, 2018). The container was designed to eliminate temperature inversion effects, and to determine the correlation between leaf detachment and the number of particles removed. The empty box, Figure 3, shows two smaller peaks as the environment of Tianjin, Figure 2, which is at 06:00 on the 23 rd of August and on the 24 th of August at 03:00 for PM 0.3 and PM 0.5 . This indicates that the boxes are not completely sealed and the environment particles were carried into the boxes with air. Figures 3 to 6 show similar results with the controlled box. The results conclude that the number of PM 0.3 decrease with time. In addition, the particles decreased more rapidly in the boxes with plants than the controlled box. This shows that the particles were affected by plants. The figures also show that there are less particles around noon, which indicates the effect of photosynthesis. In fact, the fine particles did not fall quickly to the base of the boxes. Figures 3 to 6 indicate a similar period of the environmental air quality. Table 1 illustrates that the highest efficiency of these three plants is Monstera deliciosa, due to its largest PM 0.3 removal coefficient (58 h -1 cm -2 ). Future Work Using fully sealed boxes Addition of fans for each box to simulate the natural environment Using electronic microscopes to see the structure change of leaves during a daytime. Finding the fundamental mechanisms of PM captured by trees and grass Learning from trees: trees might be responsible for air pollution. School of Engineering, Newcastle University, Newcastle, UK Meilin Song 160745799 [email protected] Abbreviation PM - Atmospheric Particulate Matter References Miller, B.G. (2011) '4.5.3.2 Health Effects', in Clean Coal Engineering Technology. Elsevier. Thecleanbreathinginstitute.com. (2019). Risk factors. [online] Available at: https://www.thecleanbreathinginstitute.com/evidence/risk-factors/ [Accessed 12 Oct. 2019]. Young, T.M. (2018) '4.5.5 Temperature Inversions', in Performance of the Jet Transport Airplane - Analysis Methods, Flight Operations, and Regulations. John Wiley & Sons. 0 20000 40000 60000 80000 100000 120000 The number of particulate matters time Environmental data PM0.3 PM0.5 PM1.0 PM2.5 PM5.0 PM10 0 5000 10000 15000 20000 25000 The number of particulate matters time Empty box PM0.3 PM0.5 PM1.0 PM2.5 PM5.0 PM10 0 5000 10000 15000 20000 25000 The number of particulate matters time Zamioculcas PM0.3 PM0.5 PM1.0 PM2.5 PM5.0 PM10 0 5000 10000 15000 20000 25000 The number of particulate matters time Monstera deliciosa PM0.3 PM0.5 PM1.0 PM2.5 PM5.0 PM10 Figure 7: The number of PM in the environment during 38 hours in Newcastle Upon Tyne, UK. Table 1: The calculations of the coefficient for PM 0.3 removed by a plant per hour per total leafage surface area 0 5000 10000 15000 20000 25000 30000 09:00 11:00 13:00 15:00 17:00 19:00 21:00 23:00 01:00 03:00 05:00 07:00 09:43 11:00 13:00 15:00 17:00 19:00 21:00 23:00 number of particulate matters time Environmental data in UK PM0.3 PM0.5 PM1.0 PM2.5 PM5.0 PM10 Boxes The time of the number of PM 0.3 from 10 6 to 1.5×10 4 (h) Reduce d PM 0.3 per hour (h -1 ) PM 0.3 removed by a plant per hour (h -1 ) Total surface area of leafage (cm 2 ) The coefficient of PM 0.3 removed by a plant per hour per total leafage surface area (h -1 cm -2 ) Empty 23.0 42826 / / / Ficus elastica 15.0 65667 22841 814 28 Zamioculcas 13.5 72963 30137 541 56 Monstera deliciosa 14.0 70357 27531 472 58 Conclusion The lowest number of particles, that represents air quality, is between 11:00 and 15:00 every day, rather than morning or night when human activity is less. Air quality is not only affected by the temperature inversion but also by plants detachment and photosynthesis. Figures 3 to 6 show a similar period of the environmental air quality from the 22 nd to the 23 rd of August. Monstera Deliciosa has the highest PM 0.3 removal efficiency of these three plants with the largest coefficient (58 h -1 cm -2 ), shown in Table 1. 0 5000 10000 15000 20000 25000 30000 35000 40000 45000 The number of particulate matters time Ficus elastica PM0.3 PM0.5 PM1.0 PM2.5 PM5.0 PM10 Supervisors: Steven Wang Stevin Pramana Kui Zhang Vladimir Zivkovic

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  • IntroductionParticulate matter is a mixture of solid particles and liquid droplets suspended in the air. It is the most harmful form of air pollution, including metallic compounds (nickel compound, lead compound), bacteria and viruses. The drawback of the particles• Environment (Miller, 2011)

    o Reduction of visibilityo Acid rain

    • Human’s healthy (Miller, 2011)o Respiratory diseaseo Heart attackso Permanent DNA mutationso Premature death

    Assumption• A lit incense stick produced the same amount of differently

    sized particles for each box.• At the beginning, 1,000,000 PM0.3 were produced in each

    box.

    Figure 1: Particulate matter in air pollution and respiratory symptoms (Thecleanbreathinginstitute.com, 2019)Aims• To investigate the absorption rate of particles on different

    plant leaves• To correlate the effect of photosynthesis with absorption

    behaviour

    Methods• Using a particle counter (PCE-PCO1) to measure

    outdoor data to find the trend change of air quality in the environment.

    • Experiment setup (Controlled Experiments)o 4 boxes were used, with different plants in each boxo An empty box used as controlto determine the number of particles removed by plants

    Results

    Figure 2: The number of PM in the environment for 3 days from 21st to 24th of August, in Tianjin, China

    Figure 3: The number of PM in an empty box as control for 3 days from 21st to 24th of August, in Tianjin, China

    Figure 4: The number of PM surrounding Ficus Elastic in a box for 3 days from 21st to 24th of August, in Tianjin, China

    Figure 5: The number of PM surrounding Zamioculcas in a box for 3 days from 21st to 24th of August, in Tianjin, China

    Figure 6: The number of particulate matters surrounding Monstera Deliciosa in a box for 3 days from 21st to 24th of August, in Tianjin, China

    Discussion• Figures 2 and 7 show the same overall trend in air quality in China and in the UK. It was found

    that the lowest number of particles is between 11:00 and 15:00, rather than morning or night when human activity is less.

    • The temperature inversion affects the trend of air quality in the environment. Temperature inversion is when the upper air temperature is higher than the earth’s surface temperature thus forming a thermal inversion layer. This leads to particles not being able to diffuse due to a limited air circulation (Young, 2018).

    • The container was designed to eliminate temperature inversion effects, and to determine the correlation between leaf detachment and the number of particles removed.

    • The empty box, Figure 3, shows two smaller peaks as the environment of Tianjin, Figure 2, which is at 06:00 on the 23rd of August and on the 24th of August at 03:00 for PM0.3 and PM0.5 . This indicates that the boxes are not completely sealed and the environment particles were carried into the boxes with air.

    • Figures 3 to 6 show similar results with the controlled box. The results conclude that the number of PM0.3 decrease with time. In addition, the particles decreased more rapidly in the boxes with plants than the controlled box. This shows that the particles were affected by plants. The figures also show that there are less particles around noon, which indicates the effect of photosynthesis.

    • In fact, the fine particles did not fall quickly to the base of the boxes.• Figures 3 to 6 indicate a similar period of the environmental air quality. • Table 1 illustrates that the highest efficiency of these three plants is Monstera deliciosa, due to

    its largest PM0.3 removal coefficient (58 h-1 cm-2 ).Future Work • Using fully sealed boxes• Addition of fans for each box to simulate the natural environment• Using electronic microscopes to see the structure change of leaves during a daytime.• Finding the fundamental mechanisms of PM captured by trees and grass

    Learning from trees: trees might be responsible for air pollution. School of Engineering, Newcastle University, Newcastle, UK

    Meilin Song 160745799 [email protected]

    AbbreviationPM - Atmospheric Particulate Matter

    ReferencesMiller, B.G. (2011) '4.5.3.2 Health Effects', in Clean Coal Engineering Technology. Elsevier.Thecleanbreathinginstitute.com. (2019). Risk factors. [online] Available at: https://www.thecleanbreathinginstitute.com/evidence/risk-factors/ [Accessed 12 Oct. 2019].Young, T.M. (2018) '4.5.5 Temperature Inversions', in Performance of the Jet Transport Airplane - Analysis Methods, Flight Operations, and Regulations. John Wiley & Sons.

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    Figure 7: The number of PM in the environment during 38 hours in Newcastle Upon Tyne, UK.Table 1: The calculations of the coefficient for PM0.3 removed by a plant per hour per total leafage surface area

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    09:00 11:00 13:00 15:00 17:00 19:00 21:00 23:00 01:00 03:00 05:00 07:00 09:43 11:00 13:00 15:00 17:00 19:00 21:00 23:00

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    Boxes The time of the number of PM0.3 from 106 to 1.5×104 (h)

    Reduced PM0.3 per hour (h-1)

    PM0.3 removed by a plant per hour (h-1)

    Total surface area of leafage (cm2)

    The coefficient of PM0.3 removed by a plant per hour per total leafage surface area (h-1

    cm-2)Empty 23.0 42826 / / /Ficus elastica 15.0 65667 22841 814 28Zamioculcas 13.5 72963 30137 541 56Monstera deliciosa 14.0 70357 27531 472 58

    Conclusion• The lowest number of particles,

    that represents air quality, is between 11:00 and 15:00 every day, rather than morning or night when human activity is less.

    • Air quality is not only affected by the temperature inversion but also by plants detachment and photosynthesis. Figures 3 to 6 show a similar period of the environmental air quality from the 22nd to the 23rd of August.

    • Monstera Deliciosa has the highest PM0.3 removal efficiency of these three plants with the largest coefficient (58 h-1 cm-2 ), shown in Table 1.

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    Supervisors:

    Steven Wang Stevin Pramana Kui Zhang Vladimir Zivkovic

    mailto:[email protected]

    Slide Number 1