- Volumes 84-95 (2024)
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Volumes 72-83 (2023)
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Volume 83
Pages 1-258 (December 2023)
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Volume 82
Pages 1-204 (November 2023)
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Volume 81
Pages 1-188 (October 2023)
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Volume 80
Pages 1-202 (September 2023)
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Volume 79
Pages 1-172 (August 2023)
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Volume 78
Pages 1-146 (July 2023)
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Volume 77
Pages 1-152 (June 2023)
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Volume 76
Pages 1-176 (May 2023)
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Volume 75
Pages 1-228 (April 2023)
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Volume 74
Pages 1-200 (March 2023)
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Volume 73
Pages 1-138 (February 2023)
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Volume 72
Pages 1-144 (January 2023)
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Volume 83
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Volumes 60-71 (2022)
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Volume 71
Pages 1-108 (December 2022)
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Volume 70
Pages 1-106 (November 2022)
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Volume 69
Pages 1-122 (October 2022)
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Volume 68
Pages 1-124 (September 2022)
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Volume 67
Pages 1-102 (August 2022)
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Volume 66
Pages 1-112 (July 2022)
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Volume 65
Pages 1-138 (June 2022)
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Volume 64
Pages 1-186 (May 2022)
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Volume 63
Pages 1-124 (April 2022)
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Volume 62
Pages 1-104 (March 2022)
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Volume 61
Pages 1-120 (February 2022)
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Volume 60
Pages 1-124 (January 2022)
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Volume 71
- Volumes 54-59 (2021)
- Volumes 48-53 (2020)
- Volumes 42-47 (2019)
- Volumes 36-41 (2018)
- Volumes 30-35 (2017)
- Volumes 24-29 (2016)
- Volumes 18-23 (2015)
- Volumes 12-17 (2014)
- Volume 11 (2013)
- Volume 10 (2012)
- Volume 9 (2011)
- Volume 8 (2010)
- Volume 7 (2009)
- Volume 6 (2008)
- Volume 5 (2007)
- Volume 4 (2006)
- Volume 3 (2005)
- Volume 2 (2004)
- Volume 1 (2003)
• Diurnal variations of PM0.1 particles were studied in detail in Chiang Mai, Thailand.
• PM0.1 carbon profiles were found to differ during daytime and nighttime periods.
• In the eight carbon profiles, OC3 was predicted to be a marker of biomass fires.
• Increased secondary OC/OC contributed significantly to the PM0.1 particles.
Carbonaceous aerosols affect air quality adversely, affect global warming, and human health. However, our understanding of the impact of ultrafine (PM0.1) carbonaceous particulate matter is incomplete, particularly the effects during haze episodes. This study monitored diurnal variations in PM0.1 in Chiang Mai, Thailand, from March to April 2020. We investigated carbonaceous PM0.1 collected by an ambient nano-sampler and evaluated their effect by using a carbon analyzer (IMPROVE_TOR). The results showed that burning large open areas in the dry season was crucial for increasing the particle mass concentration because of the large open burnings that occurred in this area. The majority of biomass fires near the sampling site occurred during the night, which would allow more particles to be released thus resulting in higher concentrations of PM0.1. Hence, the release of PM0.1 during the night would obviously result in higher concentrations than that during the day. In the eight carbon profiles, organic carbon 3 (OC3) was predicted to be a marker of biomass fires. The carbon indices displayed that PM0.1 was influenced by biomass burning both daytime and nighttime. The findings reported herein should be of great importance in terms of establishing biomass burning control policies for mitigating heavy haze pollution in Thailand and elsewhere.