Particulate matter capturing capacity of roadside evergreen vegetation during the winter season

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Chen He
  • Kaiyang Qiu
  • Abdalrahim Alahmad
  • Richard Pott

Research Organisations

External Research Organisations

  • Ningxia University
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Details

Original languageEnglish
Article number126510
Number of pages17
JournalUrban Forestry and Urban Greening
Volume48
Early online date4 Nov 2019
Publication statusPublished - Feb 2020

Abstract

In the urban atmosphere, particulate matter (PM), especially PM discharged by vehicle traffic, is a serious threat to residents’ health. As the PM capturing ability of most deciduous plants is significantly weakened during winter, it is important to further understand the PM removal capacity of evergreen species. Four representative roadside evergreen plants (two tree species and two shrub species) were tested along one main street in Hanover, Germany. The results showed that, in winter, notable differences existed among the evergreen species in terms of their PM capturing capacity. In general, Taxus baccata was the most efficient species, while Prunus laurocerasus was the least efficient. The capacity of each species varied in each month, but it was generally observed that T. baccata was the most stable and efficient species for both PM10 and PM2.5 capture during the whole winter. Its PM capturing capacity reached its peak value in December and then gradually declined. From November to January, Pinus nigra showed a high PM capturing capacity at first, but its capacity later declined sharply. Though Hedera helix had two peak values, in December and in February, its capacity was still much lower than that of either of the two needle-leaved species. P. laurocerasus was the most inefficient species during all winter months. Through SEM observation, it was found that the abundance of ridges and grooves increased the roughness of the leaf surface of T. baccata, and thus, there was sufficient room on the leaf to capture PM. Among all tested species, the leaf surface of P. laurocerasus was the smoothest, and the fewest particles were observed on its leaves. A negative correlation was found between the leaf surface contact angle and its PM capturing capacity. P. laurocerasus showed the largest contact angle and the lowest PM capturing capacity, while the most efficient species, T. baccata, had the smallest contact angle. This indicated that hydrophilic leaves tended to have a higher capacity for PM capture. This study highlights the importance of evergreen roadside plants for PM pollution management during winter and provides insights for further roadside green infrastructure planning to improve urban air quality.

Keywords

    Evergreen plants, PM, Scanning electron microscope, Surface contact angle

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Forestry
  • Environmental Science(all)
  • Ecology
  • Agricultural and Biological Sciences(all)
  • Soil Science

Sustainable Development Goals

Cite this

Particulate matter capturing capacity of roadside evergreen vegetation during the winter season. / He, Chen; Qiu, Kaiyang; Alahmad, Abdalrahim et al.
In: Urban Forestry and Urban Greening, Vol. 48, 126510, 02.2020.

Research output: Contribution to journalArticleResearchpeer review

He C, Qiu K, Alahmad A, Pott R. Particulate matter capturing capacity of roadside evergreen vegetation during the winter season. Urban Forestry and Urban Greening. 2020 Feb;48:126510. Epub 2019 Nov 4. doi: 10.1016/j.ufug.2019.126510
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AU - He, Chen

AU - Qiu, Kaiyang

AU - Alahmad, Abdalrahim

AU - Pott, Richard

N1 - Publisher Copyright: © 2019 Elsevier GmbH

PY - 2020/2

Y1 - 2020/2

N2 - In the urban atmosphere, particulate matter (PM), especially PM discharged by vehicle traffic, is a serious threat to residents’ health. As the PM capturing ability of most deciduous plants is significantly weakened during winter, it is important to further understand the PM removal capacity of evergreen species. Four representative roadside evergreen plants (two tree species and two shrub species) were tested along one main street in Hanover, Germany. The results showed that, in winter, notable differences existed among the evergreen species in terms of their PM capturing capacity. In general, Taxus baccata was the most efficient species, while Prunus laurocerasus was the least efficient. The capacity of each species varied in each month, but it was generally observed that T. baccata was the most stable and efficient species for both PM10 and PM2.5 capture during the whole winter. Its PM capturing capacity reached its peak value in December and then gradually declined. From November to January, Pinus nigra showed a high PM capturing capacity at first, but its capacity later declined sharply. Though Hedera helix had two peak values, in December and in February, its capacity was still much lower than that of either of the two needle-leaved species. P. laurocerasus was the most inefficient species during all winter months. Through SEM observation, it was found that the abundance of ridges and grooves increased the roughness of the leaf surface of T. baccata, and thus, there was sufficient room on the leaf to capture PM. Among all tested species, the leaf surface of P. laurocerasus was the smoothest, and the fewest particles were observed on its leaves. A negative correlation was found between the leaf surface contact angle and its PM capturing capacity. P. laurocerasus showed the largest contact angle and the lowest PM capturing capacity, while the most efficient species, T. baccata, had the smallest contact angle. This indicated that hydrophilic leaves tended to have a higher capacity for PM capture. This study highlights the importance of evergreen roadside plants for PM pollution management during winter and provides insights for further roadside green infrastructure planning to improve urban air quality.

AB - In the urban atmosphere, particulate matter (PM), especially PM discharged by vehicle traffic, is a serious threat to residents’ health. As the PM capturing ability of most deciduous plants is significantly weakened during winter, it is important to further understand the PM removal capacity of evergreen species. Four representative roadside evergreen plants (two tree species and two shrub species) were tested along one main street in Hanover, Germany. The results showed that, in winter, notable differences existed among the evergreen species in terms of their PM capturing capacity. In general, Taxus baccata was the most efficient species, while Prunus laurocerasus was the least efficient. The capacity of each species varied in each month, but it was generally observed that T. baccata was the most stable and efficient species for both PM10 and PM2.5 capture during the whole winter. Its PM capturing capacity reached its peak value in December and then gradually declined. From November to January, Pinus nigra showed a high PM capturing capacity at first, but its capacity later declined sharply. Though Hedera helix had two peak values, in December and in February, its capacity was still much lower than that of either of the two needle-leaved species. P. laurocerasus was the most inefficient species during all winter months. Through SEM observation, it was found that the abundance of ridges and grooves increased the roughness of the leaf surface of T. baccata, and thus, there was sufficient room on the leaf to capture PM. Among all tested species, the leaf surface of P. laurocerasus was the smoothest, and the fewest particles were observed on its leaves. A negative correlation was found between the leaf surface contact angle and its PM capturing capacity. P. laurocerasus showed the largest contact angle and the lowest PM capturing capacity, while the most efficient species, T. baccata, had the smallest contact angle. This indicated that hydrophilic leaves tended to have a higher capacity for PM capture. This study highlights the importance of evergreen roadside plants for PM pollution management during winter and provides insights for further roadside green infrastructure planning to improve urban air quality.

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KW - PM

KW - Scanning electron microscope

KW - Surface contact angle

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