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Elucidating the responses of highly time-resolved PM(2.5) related elements to extreme emission reductions

China's unprecedented lockdown to contain the spread of the novel coronavirus disease (COVID-19) in early 2020, provided a tragic natural experiment to investigate the responses of atmospheric pollution to emission reduction at regional scale. Primarily driven by primary emissions, particulate...

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Autores principales: Cheng, Kai, Chang, Yunhua, Kuang, Yaqiong, Khan, Rehana, Zou, Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718126/
https://www.ncbi.nlm.nih.gov/pubmed/34973195
http://dx.doi.org/10.1016/j.envres.2021.112624
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author Cheng, Kai
Chang, Yunhua
Kuang, Yaqiong
Khan, Rehana
Zou, Zhong
author_facet Cheng, Kai
Chang, Yunhua
Kuang, Yaqiong
Khan, Rehana
Zou, Zhong
author_sort Cheng, Kai
collection PubMed
description China's unprecedented lockdown to contain the spread of the novel coronavirus disease (COVID-19) in early 2020, provided a tragic natural experiment to investigate the responses of atmospheric pollution to emission reduction at regional scale. Primarily driven by primary emissions, particulate trace elements is vitally important due to their disproportionally adverse impacts on human health and ecosystem. Here 14 trace elements in PM(2.5) were selected for continuous measurement hourly in urban representative site of Shanghai, for three different phases: pre-control period (1–23 January 2020), control period (24 January-10 February 2020; overlapped with Chinese Lunar New Year holiday) and post control period (11–26 February 2020) the city's lockdown measures. The results show that all meteorological parameters (including temperature, RH, mixing layer height et al.) were generally consistent among different periods. Throughout the study period, the concentrations of most species displayed a “V-shaped” trend, suggesting significant effects by the restriction measures imposed during the lockdown period. While this is not the case for species like K, Cu and Ba, indicating their unusual origins. As a case study, the geographical origins of Cu were explored. Seven major sources, i.e., Vehicle-related emission (including road dust; indicative of Ca, Fe, Ba, Mn, Zn, Cu; accounting for 30.1%), shipping (Ni; 5.0%), coal combustion (As, Pb; 4.2%), Se and Cr industry (24.9%), nonferrous metal smelting (Au, Hg; 7.5%) and fireworks burning (K, Cu, Ba; 28.3%) were successfully pinpointed based on positive matrix factorization (PMF) analysis. Our source apportionment results also highlight fireworks burning was one of the dominant source of trace elements during the Chinese Lunar New Year holiday. It is worth noting that 56% of the total mass vehicular emissions are affiliated with non-exhaust sources (tire wear, brake wear, and road surface abrasion).
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spelling pubmed-87181262022-01-03 Elucidating the responses of highly time-resolved PM(2.5) related elements to extreme emission reductions Cheng, Kai Chang, Yunhua Kuang, Yaqiong Khan, Rehana Zou, Zhong Environ Res Article China's unprecedented lockdown to contain the spread of the novel coronavirus disease (COVID-19) in early 2020, provided a tragic natural experiment to investigate the responses of atmospheric pollution to emission reduction at regional scale. Primarily driven by primary emissions, particulate trace elements is vitally important due to their disproportionally adverse impacts on human health and ecosystem. Here 14 trace elements in PM(2.5) were selected for continuous measurement hourly in urban representative site of Shanghai, for three different phases: pre-control period (1–23 January 2020), control period (24 January-10 February 2020; overlapped with Chinese Lunar New Year holiday) and post control period (11–26 February 2020) the city's lockdown measures. The results show that all meteorological parameters (including temperature, RH, mixing layer height et al.) were generally consistent among different periods. Throughout the study period, the concentrations of most species displayed a “V-shaped” trend, suggesting significant effects by the restriction measures imposed during the lockdown period. While this is not the case for species like K, Cu and Ba, indicating their unusual origins. As a case study, the geographical origins of Cu were explored. Seven major sources, i.e., Vehicle-related emission (including road dust; indicative of Ca, Fe, Ba, Mn, Zn, Cu; accounting for 30.1%), shipping (Ni; 5.0%), coal combustion (As, Pb; 4.2%), Se and Cr industry (24.9%), nonferrous metal smelting (Au, Hg; 7.5%) and fireworks burning (K, Cu, Ba; 28.3%) were successfully pinpointed based on positive matrix factorization (PMF) analysis. Our source apportionment results also highlight fireworks burning was one of the dominant source of trace elements during the Chinese Lunar New Year holiday. It is worth noting that 56% of the total mass vehicular emissions are affiliated with non-exhaust sources (tire wear, brake wear, and road surface abrasion). Elsevier Inc. 2022-04-15 2021-12-29 /pmc/articles/PMC8718126/ /pubmed/34973195 http://dx.doi.org/10.1016/j.envres.2021.112624 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Cheng, Kai
Chang, Yunhua
Kuang, Yaqiong
Khan, Rehana
Zou, Zhong
Elucidating the responses of highly time-resolved PM(2.5) related elements to extreme emission reductions
title Elucidating the responses of highly time-resolved PM(2.5) related elements to extreme emission reductions
title_full Elucidating the responses of highly time-resolved PM(2.5) related elements to extreme emission reductions
title_fullStr Elucidating the responses of highly time-resolved PM(2.5) related elements to extreme emission reductions
title_full_unstemmed Elucidating the responses of highly time-resolved PM(2.5) related elements to extreme emission reductions
title_short Elucidating the responses of highly time-resolved PM(2.5) related elements to extreme emission reductions
title_sort elucidating the responses of highly time-resolved pm(2.5) related elements to extreme emission reductions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718126/
https://www.ncbi.nlm.nih.gov/pubmed/34973195
http://dx.doi.org/10.1016/j.envres.2021.112624
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