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PM sensors as an indicator of overall air quality: Pre-COVID and COVID periods.
Prakash, Jai; Choudhary, Shruti; Raliya, Ramesh; Chadha, Tandeep; Fang, Jiaxi; Biswas, Pratim.
  • Prakash J; Aerosol and Air Quality Research Laboratory, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St Louis, MO, 63130, USA.
  • Choudhary S; Department of Atmospheric Science, School of Earth Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer, 305 817, Rajasthan, India.
  • Raliya R; Aerosol and Air Quality Research Laboratory, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St Louis, MO, 63130, USA.
  • Chadha T; Department of Chemical Environmental and Materials Engineering, University of Miami, FL 33146, USA.
  • Fang J; Aerosol and Air Quality Research Laboratory, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St Louis, MO, 63130, USA.
  • Biswas P; Applied Particle Technology, St Louis, MO, 63110, USA.
Atmos Pollut Res ; 13(11): 101594, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-2104373
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Atmos Pollut Res Year: 2022 Document Type: Article Affiliation country: J.apr.2022.101594

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Atmos Pollut Res Year: 2022 Document Type: Article Affiliation country: J.apr.2022.101594