Contrasting compositions of PM2.5 in Northern Thailand during La Niña (2017) and El Niño (2019) years
2022
Kraisitnitikul, Pavidarin | Thepnuan, Duangduean | Chansuebsri, Sarana | Yabueng, Nuttipon | Wiriya, Wan | Saksakulkrai, Supattarachai | Shi, Zongbo | Chantara, Somporn
There have been a very limited number of systematic studies on PM₂.₅ compositions and their source contribution in Southeast Asia. This study aims to explore the characteristics of PM₂.₅ composition collected in Chiang Mai (Thailand) during La Niña and El Niño years and to apportion their sources during smoke haze and non-haze periods. The average PM₂.₅ concentration of smoke haze episode in 2019 (El Niño) was much higher than in 2017 (La Niña). The ratios of organic carbon (OC) to elemental carbon (EC), as well as K (biomass burning (BB) tracer) to PM₂.₅, were higher during smoke haze episodes in 2019 than in 2017 indicating a significant influence from BB. The ratios of secondary organic carbon (SOC) levels to primary organic carbon (POC) levels during smoke haze episodes were higher than those in non-haze period, which indicated greater SOC contributions or more photo-oxidation of precursors in haze episodes with high ambient temperatures. However, the ratios of soil markers (Ca and Mg) during non-haze period were high implying that soil source contributed more to PM₂.₅ concentrations when there less BB occurred. The positive Matrix Factorization (PMF) model revealed that the source of BB, characterized by high K fractions, was the largest contributor during smoke haze episodes accounting for 50% (2017) and 79% (2019). Climate conditions influence meteorological patterns, particularly during incidences of extreme weather such as droughts, which affect the scale and frequency of open burning and thus air pollution levels.
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