The association of meteorological parameters and AirQ+ health risk assessment of PM in Ratchaburi province, Thailand.

Air quality is heavily influenced by rising pollution distribution levels which are a consequence of many artificial activities from numerous sources. This study aims to determine the relationship between meteorological data and air pollutants. The health effects of long-term PM were estimated on expected life remaining (ELR) and years of life lost (YLL) indices in Ratchaburi province during the years 2015-2019 using AirQ+ software.

Particulate matter (PM) prediction based on multiple linear regression: a case study in Chiang Rai Province, Thailand.

Background: The northern regions of Thailand have been facing haze episodes and transboundary air pollution every year in which particulate matter, particularly PM, accumulates in the air, detrimentally affecting human health. Chiang Rai province is one of the country's most popular tourist destinations as well as an important economic hub. This study aims to develop and compare the best-fitted model for PM prediction for different seasons using meteorological factors.