Simple model of vertical dispersion of O3 in Bangkok, Thailand using regression method
Bangkok, the capital city of Thailand, has experienced a degradation in air quality. In particular, ozone (O3) concentrations frequently exceed Thailand’s National Ambient Air Quality standards. Various policies have been developed to manage air quality at near-surface levels; however, the assessmen...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | City and Environment Interactions |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590252023000326 |
| _version_ | 1827365302967468032 |
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| author | Pornpan Uttamang Surat Bualert Krisana Lanumteang Parkpoom Choomanee |
| author_facet | Pornpan Uttamang Surat Bualert Krisana Lanumteang Parkpoom Choomanee |
| author_sort | Pornpan Uttamang |
| collection | DOAJ |
| description | Bangkok, the capital city of Thailand, has experienced a degradation in air quality. In particular, ozone (O3) concentrations frequently exceed Thailand’s National Ambient Air Quality standards. Various policies have been developed to manage air quality at near-surface levels; however, the assessment of air quality above these levels has been neglected. Analysis of O3 concentrations and its precursors measured at various altitudes revealed that the vertical structures of the pollutants in Bangkok were stratified. While NOx concentrations decreased with height, O3 concentrations increased. These results emphasize the importance of air quality management above ground level, particularly in megacities with high-rise buildings, such as Bangkok. Assuming that the O3 formation regime over Bangkok is VOC-limited, a simple model was developed based on a linear regression method to estimate the changes in O3 concentrations with height. We found that the simple model was able to capture the variation in O3 concentrations at 30, 75, and 110 m above ground level, with an R2 of 0.48–0.65. Although the simple model had some difficulty estimating the magnitude of O3 concentrations, the estimated O3 values from the model were reasonable for capturing vertical O3 trends. Using this approach, policymakers can visualize the vertical distribution of pollutants, which will be useful in designing air quality management plans. |
| first_indexed | 2024-03-08T08:25:20Z |
| format | Article |
| id | doaj.art-41949532b9dc4153aaf237d1efc60de4 |
| institution | Directory Open Access Journal |
| issn | 2590-2520 |
| language | English |
| last_indexed | 2024-03-08T08:25:20Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | City and Environment Interactions |
| spelling | doaj.art-41949532b9dc4153aaf237d1efc60de42024-02-02T04:40:12ZengElsevierCity and Environment Interactions2590-25202024-01-0121100130Simple model of vertical dispersion of O3 in Bangkok, Thailand using regression methodPornpan Uttamang0Surat Bualert1Krisana Lanumteang2Parkpoom Choomanee3Environmental Technology Program, Faculty of Science, Maejo University, Chiang Mai, Thailand; Corresponding author.Department of Environmental Science, Faculty of Environment, Kasetsart University, Bangkok, ThailandDivision of Statistics, Faculty of Science, Maejo University, Chiang Mai, ThailandDepartment of Environmental Science, Faculty of Environment, Kasetsart University, Bangkok, ThailandBangkok, the capital city of Thailand, has experienced a degradation in air quality. In particular, ozone (O3) concentrations frequently exceed Thailand’s National Ambient Air Quality standards. Various policies have been developed to manage air quality at near-surface levels; however, the assessment of air quality above these levels has been neglected. Analysis of O3 concentrations and its precursors measured at various altitudes revealed that the vertical structures of the pollutants in Bangkok were stratified. While NOx concentrations decreased with height, O3 concentrations increased. These results emphasize the importance of air quality management above ground level, particularly in megacities with high-rise buildings, such as Bangkok. Assuming that the O3 formation regime over Bangkok is VOC-limited, a simple model was developed based on a linear regression method to estimate the changes in O3 concentrations with height. We found that the simple model was able to capture the variation in O3 concentrations at 30, 75, and 110 m above ground level, with an R2 of 0.48–0.65. Although the simple model had some difficulty estimating the magnitude of O3 concentrations, the estimated O3 values from the model were reasonable for capturing vertical O3 trends. Using this approach, policymakers can visualize the vertical distribution of pollutants, which will be useful in designing air quality management plans.http://www.sciencedirect.com/science/article/pii/S2590252023000326Urban air qualityAir quality managementVertical air quality visualizationStatistical model |
| spellingShingle | Pornpan Uttamang Surat Bualert Krisana Lanumteang Parkpoom Choomanee Simple model of vertical dispersion of O3 in Bangkok, Thailand using regression method City and Environment Interactions Urban air quality Air quality management Vertical air quality visualization Statistical model |
| title | Simple model of vertical dispersion of O3 in Bangkok, Thailand using regression method |
| title_full | Simple model of vertical dispersion of O3 in Bangkok, Thailand using regression method |
| title_fullStr | Simple model of vertical dispersion of O3 in Bangkok, Thailand using regression method |
| title_full_unstemmed | Simple model of vertical dispersion of O3 in Bangkok, Thailand using regression method |
| title_short | Simple model of vertical dispersion of O3 in Bangkok, Thailand using regression method |
| title_sort | simple model of vertical dispersion of o3 in bangkok thailand using regression method |
| topic | Urban air quality Air quality management Vertical air quality visualization Statistical model |
| url | http://www.sciencedirect.com/science/article/pii/S2590252023000326 |
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