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Numerical simulations of the effects of green infrastructure on PM(2.5) dispersion in an urban park in Bangkok, Thailand

Traffic emission has been identified as one of the dominant sources of fine particulate matter (PM(2.5)) in Thailand, and urban green spaces have the capacity to mitigate air pollution. Taking Bangkok as the study area, one of the most polluted cities in Thailand, this study investigated the effect...

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Autores principales: Heshani, A.L. Savinda, Winijkul, Ekbordin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463594/
https://www.ncbi.nlm.nih.gov/pubmed/36097489
http://dx.doi.org/10.1016/j.heliyon.2022.e10475
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author Heshani, A.L. Savinda
Winijkul, Ekbordin
author_facet Heshani, A.L. Savinda
Winijkul, Ekbordin
author_sort Heshani, A.L. Savinda
collection PubMed
description Traffic emission has been identified as one of the dominant sources of fine particulate matter (PM(2.5)) in Thailand, and urban green spaces have the capacity to mitigate air pollution. Taking Bangkok as the study area, one of the most polluted cities in Thailand, this study investigated the effect of vegetation on PM(2.5) concentration at three different sites with different vegetation characteristics in Chatuchak Park, an urban park located in Bangkok. Sensors were installed at the park to measure PM(2.5) and metrological parameters at the roadside and different distances inside the park away from the road, and the ENVI-met model was run to simulate PM(2.5) concentration in the three study sites. The result shows that PM(2.5) concentration behind the vegetation barrier was reduced 34% on average compared to the concentration next to the road at the three sites. The effect of vegetation on meteorological factors was clearly seen near the park border with a hedgerow grown along the border. The order of influence of meteorological factors on PM(2.5) concentration was relative humidity > potential temperature > wind speed > wind direction. Two scenarios including changes in weather patterns and types of vegetation that affect PM(2.5) concentration were studied. Changing in the wind direction from oblique to perpendicular to the park had no significant effect on PM(2.5) concentration as long as there is a dense hedgerow along the park border. Comparing to the current vegetation, sparse vegetation with less leaf area density and higher crown base heights had lower impact to mitigate PM(2.5) concentration in the park. Our study provides information on vegetation and landscape strategies which can provide good air quality in the urban parks for better park design in the future.
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spelling pubmed-94635942022-09-11 Numerical simulations of the effects of green infrastructure on PM(2.5) dispersion in an urban park in Bangkok, Thailand Heshani, A.L. Savinda Winijkul, Ekbordin Heliyon Research Article Traffic emission has been identified as one of the dominant sources of fine particulate matter (PM(2.5)) in Thailand, and urban green spaces have the capacity to mitigate air pollution. Taking Bangkok as the study area, one of the most polluted cities in Thailand, this study investigated the effect of vegetation on PM(2.5) concentration at three different sites with different vegetation characteristics in Chatuchak Park, an urban park located in Bangkok. Sensors were installed at the park to measure PM(2.5) and metrological parameters at the roadside and different distances inside the park away from the road, and the ENVI-met model was run to simulate PM(2.5) concentration in the three study sites. The result shows that PM(2.5) concentration behind the vegetation barrier was reduced 34% on average compared to the concentration next to the road at the three sites. The effect of vegetation on meteorological factors was clearly seen near the park border with a hedgerow grown along the border. The order of influence of meteorological factors on PM(2.5) concentration was relative humidity > potential temperature > wind speed > wind direction. Two scenarios including changes in weather patterns and types of vegetation that affect PM(2.5) concentration were studied. Changing in the wind direction from oblique to perpendicular to the park had no significant effect on PM(2.5) concentration as long as there is a dense hedgerow along the park border. Comparing to the current vegetation, sparse vegetation with less leaf area density and higher crown base heights had lower impact to mitigate PM(2.5) concentration in the park. Our study provides information on vegetation and landscape strategies which can provide good air quality in the urban parks for better park design in the future. Elsevier 2022-08-31 /pmc/articles/PMC9463594/ /pubmed/36097489 http://dx.doi.org/10.1016/j.heliyon.2022.e10475 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Heshani, A.L. Savinda
Winijkul, Ekbordin
Numerical simulations of the effects of green infrastructure on PM(2.5) dispersion in an urban park in Bangkok, Thailand
title Numerical simulations of the effects of green infrastructure on PM(2.5) dispersion in an urban park in Bangkok, Thailand
title_full Numerical simulations of the effects of green infrastructure on PM(2.5) dispersion in an urban park in Bangkok, Thailand
title_fullStr Numerical simulations of the effects of green infrastructure on PM(2.5) dispersion in an urban park in Bangkok, Thailand
title_full_unstemmed Numerical simulations of the effects of green infrastructure on PM(2.5) dispersion in an urban park in Bangkok, Thailand
title_short Numerical simulations of the effects of green infrastructure on PM(2.5) dispersion in an urban park in Bangkok, Thailand
title_sort numerical simulations of the effects of green infrastructure on pm(2.5) dispersion in an urban park in bangkok, thailand
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463594/
https://www.ncbi.nlm.nih.gov/pubmed/36097489
http://dx.doi.org/10.1016/j.heliyon.2022.e10475
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