Exploring temporal variation of PM2.5 and PM10 and their association with meteorological data in Raipur, Chhattisgarh

Abstract

Abstract While significant efforts have been made to mitigate the negative health impacts of particulate matter, there are limited statistics on particle exposure in Raipur. A study was conducted to look at the short-term relationships between particulate matter (PM2.5 and PM10) and meteorological variables in Raipur. The current research was based on an experimental study conducted at Chhattisgarh’s NIT Raipur. During the pre-monsoon, monsoon, post-monsoon, and winter seasons of 2021, a total of 125 air specimens were gathered from the campus. A respirable dust sampler and a fine particulate sampler were used to detect PM10 and PM2.5 on the building’s terrace. To assess the associations between PM2.5 and PM10 particulates and both sampling season and site, Pearson’s correlation study was used. The monthly mean mass concentrations of PM2.5 and PM10 in Raipur ranged from 28.0-334.0 μg/m3 to 56.0-448.0 μg/m3, respectively. Post-monsoon PM concentrations were highest, followed by pre-monsoon, winter, and post-monsoon. On more than 92 percent of days, PM2.5 concentrations exceeded NAAQS standards, while PM10 concentrations exceeded restrictions on 90 percent of days. There were seasonal changes identified in the relationships between PM concentrations and meteorological variables.