Abstract
<title>Abstract</title> <p>Particulate matter (PM10) is one of the major environmental and public health issues in Bangladesh. This study is focused on the spatiotemporal variations of PM10, and its relationships with the most important meteorological parameters (temperature, relative humidity, and rainfall) in the city of Cumilla, Bangladesh. The study is based on the empirical data collected from the monitoring station of the Department of Environment, Bangladesh during the month of January to April 2026, and analyzed statistically using Pearson correlation matrix and trend analysis. The values obtained show the high concentration of PM10 in the dry winter period with the highest concentration occurring in the month of February at an average of 210.7 µg/m3, which is higher than the national limits. On the other hand, April, the start of pre-monsoon season, experienced a significant decrease in PM10 concentration of 88.3 µg/m³. The correlation coefficient shows good negative correlation between PM10 and temperature (r = -0.87) and rainfall (r = -0.89). The methodology and results offer a solid basis for local environmental authorities to forecast the peaks of pollution and design mitigating policies for the seasonal sources such as biomass burning and brick kilns.</p>