PM2.5/PM10 ratio characteristics over urban sites of India

The PM2.5/PM10 ratio (PM2.5 and PM10 are defined as mass concentration of particles having aerodynamic diameter less than 2.5 and 10 mm respectively) is one of the important parameters in understanding the severity of the fine mode surface particulate matter pollution. The present study characterises PM2.5/PM10 ratio estimates from eight Indian urban sites with varying levels of urbanization. Five years (2015-2019) of collocated PM2.5, PM10, and meteorological (ambient temperature, relative humidity (RH), and wind speed) measurements are used to understand the spatial and temporal variability in the PM2.5/PM10 ratio at different scales and to investigate its relationship with meteorological parameters. Over the study sites, the seasonal mean PM2.5/PM10 ratio varied between 0.31 +/- 0.08 (mean +/- standard deviation) and 0.65 +/- 0.13. Seasonally, the highest PM2.5/PM10 ratio was observed during winter and post-monsoon seasons. Sites in the Indo-Gangetic Plain (IGP) exhibited higher PM levels (PM2.5 and PM10) and higher PM2.5/PM10 ratios than the corresponding values recorded at other sites. The seasonal mean PM2.5/PM10 ratio estimated (over the study sites) using MERRA-2 (Modern-Era Retrospective Analysis for Research and Applications, version 2) ranged between 0.25 +/- 0.08 and 0.77 +/- 0.16, and exhibited consistent overestimation (when compared to values derived from measurements) during winter and pre-monsoon seasons. Grossly, the PM2.5/PM10 ratio exhibited a weak association with meteorological parameters. Interestingly, despite variations in geography, population, anthropogenic activities and PM concentrations across seasons and sites, the PM2.5/PM10 ratio showed low variability. (C) 2021 COSPAR. Published by Elsevier B.V. All rights reserved.

Automated summary

This study analyzed the PM2.5/PM10 ratio in different urban areas of India over a five-year period, finding the highest ratio in winter and post-monsoon seasons, especially in the Indo-Gangetic Plain region. The limited meteorological data used was unable to fully explain the variability in the ratio, and estimated values were consistently higher than measured values.