<p>Thailand experiences significant haze pollution. Aerosol optical depth (AOD) and Ångström exponent (α) are closely associated with fine particulate matter (PM<sub>2.5</sub>) a critical atmospheric factor that significantly influences the global climate. The primary objective of this study is to examine the relationship between AOD and α to classify aerosols into five distinct categories. The study area was divided into two distinct regions each with unique climate and geographical characteristics, namely Chiang Mai (urban area) and Songkhla (coastal area). The data collected from 2020 to 2023 were categorized into two seasons: the dry season and the wet season. The findings suggested that the most severe particulate pollution typically occurs in urban areas in the North during the dry season. The most prevalent aerosol type was Clean Continental/Urban Industrial (CC/UI), accounting for approximately 96% of all particles, while the Biomass Burning (BB) type accounted for only 4%. In contrast, the Clean Maritime (CM) type was the predominant characteristic of aerosols in the coastal region. Of the CM type particles, 52% were observed during the dry season and 73% during the wet season.The majority of these particles are aerosols derived from natural sources, such as sea salt emissions. Therefore, the classification of aerosols based on the relationship between AOD and α serves only as a preliminary assessment of their sources and types. This method cannot precisely identify the specific characteristics of each aerosol type. However, these findings indicate that aerosol types may vary by season and region.</p>

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Characteristics of aerosol optical depth and Ångström exponent indicated aerosol types over a tropical urban and coastal areas in Thailand

  • Sahussa Peengam,
  • Jindarat Pariyothon,
  • Wanchalerm Chanalert,
  • Pradthana Laiwarin,
  • Somjet Pattarapanitchai

摘要

Thailand experiences significant haze pollution. Aerosol optical depth (AOD) and Ångström exponent (α) are closely associated with fine particulate matter (PM2.5) a critical atmospheric factor that significantly influences the global climate. The primary objective of this study is to examine the relationship between AOD and α to classify aerosols into five distinct categories. The study area was divided into two distinct regions each with unique climate and geographical characteristics, namely Chiang Mai (urban area) and Songkhla (coastal area). The data collected from 2020 to 2023 were categorized into two seasons: the dry season and the wet season. The findings suggested that the most severe particulate pollution typically occurs in urban areas in the North during the dry season. The most prevalent aerosol type was Clean Continental/Urban Industrial (CC/UI), accounting for approximately 96% of all particles, while the Biomass Burning (BB) type accounted for only 4%. In contrast, the Clean Maritime (CM) type was the predominant characteristic of aerosols in the coastal region. Of the CM type particles, 52% were observed during the dry season and 73% during the wet season.The majority of these particles are aerosols derived from natural sources, such as sea salt emissions. Therefore, the classification of aerosols based on the relationship between AOD and α serves only as a preliminary assessment of their sources and types. This method cannot precisely identify the specific characteristics of each aerosol type. However, these findings indicate that aerosol types may vary by season and region.