Climate factors affecting particulate matter 2.5 (PM2.5) in Bangkok, Thailand

Every year, as many as 4.3 million children per year experience moderate respiratory diseases and several million more suffer from acute respiratory diseases due to air pollution. As policymakers, the public and scientists pay more attention to public health and clean air issues, the climate sector also provides several important instruments to encourage broader action. By using PM2.5 data, meteorology variable data, and Land use data. meteorological factors such as wind speed, temperature, humidity, precipitation, and visibility are used as factors that affect PM2.5, this is done statistically using multiple linear regression method and other statistical tests. Based on PM2.5 concentration data during 2019, it was found that the districts of Wang Thong Lang, Rat Burana, and Khan Na Yao were three districts that were included in the unhealthy category. all meteorological variables simultaneously have an effect of 47.3% on the concentration of PM2.5. visibility affects as much as 50% PM2.5 concentration with a negative correlation. The research shows that the higher the precipitation value, the lower the PM2.5 concentration. this may indicate that precipitation can purify/decrease the value of PM2.5 concentration. urban areas with low visibility, low temperatures, and low wind speeds may indicate that PM2.5 concentrations in the area are high. Lastly, it can be concluded that summer has higher PM2.5 concentrations than winter.