Development of Meteorological Criteria for Classifying PM2.5 Risk in a Coastal Industrial Province in Thailand
Abstract The meteorological criteria for classifying the risk of PM2.5 problems were developed through a comprehensive approach in Samut Prakan, an industrial province located on the coast in a tropical climate zone. The relationship between meteorological criteria and PM2.5 risk level was conducted...
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| Format: | Article |
| Language: | English |
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Springer
2024-05-01
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| Series: | Aerosol and Air Quality Research |
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| Online Access: | https://doi.org/10.4209/aaqr.230321 |
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| author | Patipat Vongruang Kansak Suppoung Sukrit Kirtsaeng Kritana Prueksakorn Pham Thi Bich Thao Sittichai Pimonsree |
| author_facet | Patipat Vongruang Kansak Suppoung Sukrit Kirtsaeng Kritana Prueksakorn Pham Thi Bich Thao Sittichai Pimonsree |
| author_sort | Patipat Vongruang |
| collection | DOAJ |
| description | Abstract The meteorological criteria for classifying the risk of PM2.5 problems were developed through a comprehensive approach in Samut Prakan, an industrial province located on the coast in a tropical climate zone. The relationship between meteorological criteria and PM2.5 risk level was conducted by analyzing the dataset of observed PM2.5 and meteorological parameters from 2018 to 2021. The results indicate that PM2.5 issues primarily arise during winter, with January recording the highest monthly concentration, exceeding the annual average by 83%. The high concentration in winter is related to low temperatures, wind speeds, and PBL heights that lead to low ventilation, which is 28% lower than the annual average in January. In the dry season, the mean daily ventilation index (VI) is the most sensitive meteorological parameter for PM2.5 variation and is used to classify PM2.5 risk levels: low risk (0−37 µg m−3) when VI > 2,369 m2 s−1; moderate risk (38−50 µg m−3) when VI = 1,606−2,369 m2 s−1; high risk (51−91 µg m−3) when VI = 886−1,605 m2 s−1; and very high risk (> 91 µg m−3) when VI < 886 m2 s−1. Meteorological criteria should be developed for each region based on climate, emission characteristics, methods, and data used for calculating these criteria, along with other local factors. |
| format | Article |
| id | doaj-art-2e43cb974f7d467a908e30b3a7ea7ac2 |
| institution | DOAJ |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-2e43cb974f7d467a908e30b3a7ea7ac22025-08-20T02:48:26ZengSpringerAerosol and Air Quality Research1680-85842071-14092024-05-01241011610.4209/aaqr.230321Development of Meteorological Criteria for Classifying PM2.5 Risk in a Coastal Industrial Province in ThailandPatipat Vongruang0Kansak Suppoung1Sukrit Kirtsaeng2Kritana Prueksakorn3Pham Thi Bich Thao4Sittichai Pimonsree5Atmospheric Pollution and Climate Change Research Unit (APCC), School of Energy and Environment (SEEN), University of Phayao (UP)Atmospheric Pollution and Climate Change Research Unit (APCC), School of Energy and Environment (SEEN), University of Phayao (UP)Thai Meteorological DepartmentFaculty of Environment and Resource Studies, Mahidol UniversityJoint Graduate School of Energy and Environment (JGSEE), Centre of Excellence on Energy Technology and Environment (CEE), King Mongkut’s University of Technology Thonburi (KMUTT)Atmospheric Pollution and Climate Change Research Unit (APCC), School of Energy and Environment (SEEN), University of Phayao (UP)Abstract The meteorological criteria for classifying the risk of PM2.5 problems were developed through a comprehensive approach in Samut Prakan, an industrial province located on the coast in a tropical climate zone. The relationship between meteorological criteria and PM2.5 risk level was conducted by analyzing the dataset of observed PM2.5 and meteorological parameters from 2018 to 2021. The results indicate that PM2.5 issues primarily arise during winter, with January recording the highest monthly concentration, exceeding the annual average by 83%. The high concentration in winter is related to low temperatures, wind speeds, and PBL heights that lead to low ventilation, which is 28% lower than the annual average in January. In the dry season, the mean daily ventilation index (VI) is the most sensitive meteorological parameter for PM2.5 variation and is used to classify PM2.5 risk levels: low risk (0−37 µg m−3) when VI > 2,369 m2 s−1; moderate risk (38−50 µg m−3) when VI = 1,606−2,369 m2 s−1; high risk (51−91 µg m−3) when VI = 886−1,605 m2 s−1; and very high risk (> 91 µg m−3) when VI < 886 m2 s−1. Meteorological criteria should be developed for each region based on climate, emission characteristics, methods, and data used for calculating these criteria, along with other local factors.https://doi.org/10.4209/aaqr.230321Air quality managementMeteorological conditionPM2.5Air quality riskVentilation index |
| spellingShingle | Patipat Vongruang Kansak Suppoung Sukrit Kirtsaeng Kritana Prueksakorn Pham Thi Bich Thao Sittichai Pimonsree Development of Meteorological Criteria for Classifying PM2.5 Risk in a Coastal Industrial Province in Thailand Aerosol and Air Quality Research Air quality management Meteorological condition PM2.5 Air quality risk Ventilation index |
| title | Development of Meteorological Criteria for Classifying PM2.5 Risk in a Coastal Industrial Province in Thailand |
| title_full | Development of Meteorological Criteria for Classifying PM2.5 Risk in a Coastal Industrial Province in Thailand |
| title_fullStr | Development of Meteorological Criteria for Classifying PM2.5 Risk in a Coastal Industrial Province in Thailand |
| title_full_unstemmed | Development of Meteorological Criteria for Classifying PM2.5 Risk in a Coastal Industrial Province in Thailand |
| title_short | Development of Meteorological Criteria for Classifying PM2.5 Risk in a Coastal Industrial Province in Thailand |
| title_sort | development of meteorological criteria for classifying pm2 5 risk in a coastal industrial province in thailand |
| topic | Air quality management Meteorological condition PM2.5 Air quality risk Ventilation index |
| url | https://doi.org/10.4209/aaqr.230321 |
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