期刊
ATMOSPHERIC POLLUTION RESEARCH
卷 13, 期 11, 页码 -出版社
TURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP
DOI: 10.1016/j.apr.2022.101594
关键词
Low-cost PM sensors; Field comparison; COVID-19; Outbreaks; PM2; 5; Particle number count
资金
- Lucy and Stanley Lopata Endowment at Washington University in St. Louis
- Government of NCT of Delhi
This study conducted a long-term field comparison of low-cost PM sensors with reference instruments and found that PM sensors can be a useful tool for monitoring air quality in Delhi. The reduction in air pollution due to the COVID-19 outbreak was between 2-5% for PM2.5 and 4-13% for particle number count compared to pre-COVID periods. The analysis revealed that 52% of air masses originated locally and 48% from regional sources. The results suggest that low-cost PM sensors can aid in improving air quality in non-attainment cities in India.
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.
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