期刊论文详细信息
Atmospheric Pollution Research
PM sensors as an indicator of overall air quality: Pre-COVID and COVID periods
article
Jai Prakash1  Shruti Choudhary1  Ramesh Raliya1  Tandeep Chadha4  Jiaxi Fang4  Pratim Biswas1 
[1] Aerosol and Air Quality Research Laboratory, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis;Department of Atmospheric Science, School of Earth Sciences, Central University of Rajasthan;Department of Chemical Environmental and Materials Engineering, University of Miami;Applied Particle Technology
关键词: Low-cost PM sensors;    Field comparison;    COVID-19;    Outbreaks;    PM 2.5;    Particle number count;   
DOI  :  10.1016/j.apr.2022.101594
学科分类:农业科学(综合)
来源: Dokuz Eylul Universitesi * Department of Environmental Engineering
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【 摘 要 】

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 R 2 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 PM 2.5 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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