PM sensors as an indicator of overall air quality: Pre-COVID and COVID periods
Jai Prakash, Shruti Choudhary, Ramesh Raliya, Pratim Biswas (all Energy, Environmental & Chemical Engineering), 11/22
WashU Affiliated Authors: Jai Prakash, Shruti Choudhary, Ramesh Raliya, Pratim Biswas (all Aerosol and Air Quality Research Laboratory, Department of Energy, Environmental and Chemical Engineering)
Abstract: Nowadays, there has been a substantial proliferation in the use of low-cost particulate matter (PM) sensors and facilitating as an indicator of overall air quality. However, during COVID-19 epidemics, air pollution sources have been deteriorated significantly, and given offer to evaluate the impact of COVID-19 on air quality in the world’s most polluted city: Delhi, India. To address low-cost PM sensors, this study aimed to a) conduct a long-term field inter-comparison of twenty-two (22) low-cost PM sensors with reference instruments over 10-month period (evaluation period) spanning months from May 2019 to February 2020; b) trend of PM mass and number count; and c) probable local and regional sources in Delhi during Pre-CVOID (P-COVID) periods. The comparison of low-cost PM sensors with reference instruments results found with R2 ranging between 0.74 and 0.95 for all sites and confirm that PM sensors can be a useful tool for PM monitoring network in Delhi. Relative reductions in PM2.5 and particle number count (PNC) due to COVID-outbreaks showed in the range between (2–5%) and (4–13%), respectively, as compared to the P-COVID periods. The cluster analysis reveals air masses originated ∼52% from local, while ∼48% from regional sources in P-COVID and PM levels are encountered 47% and 66–70% from local and regional sources, respectively. Overall results suggest that low-cost PM sensors can be used as an unprecedented aid in air quality applications, and improving non-attainment cities in India, and that policy makers can attempt to revise guidelines for clean air.
Citation/DOI: https://doi.org/10.1016/j.apr.2022.101594