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Extrapolation of anthropogenic disturbances on hazard elements in PM2.5 in a typical heavy industrial city in northwest China.
Zhou, Bianhong; Wang, Jin; Liu, Suixin; Ho, Steven Sai Hang; Wu, Tingting; Zhang, Yong; Tian, Jie; Feng, Qiao; Li, Chunyan; Wang, Qiyuan.
  • Zhou B; Shaanxi Key Laboratory of Disaster Monitoring and Mechanism Simulation, College of Geography & Environment, Baoji University of Arts & Sciences, Baoji, 721013, China.
  • Wang J; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China.
  • Liu S; Shaanxi Key Laboratory of Disaster Monitoring and Mechanism Simulation, College of Geography & Environment, Baoji University of Arts & Sciences, Baoji, 721013, China.
  • Ho SSH; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China.
  • Wu T; CAS Center for Excellence in Quaternary Science and Global Change, Xi'an, 710061, China.
  • Zhang Y; Shaanxi Key Laboratory of Atmospheric and Haze-fog Pollution Prevention, Xi'an, 710061, China.
  • Tian J; Division of Atmospheric Sciences, Desert Research Institute, Reno, NV, 89512, USA.
  • Feng Q; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China.
  • Li C; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China.
  • Wang Q; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China.
Environ Sci Pollut Res Int ; 29(43): 64582-64596, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1803047
ABSTRACT
Baoji is a typical heavy industrial city in northwest China. Its air quality is greatly impacted by the emission from the factories. Elements in fine particulate matter (PM2.5) that are greatly emitted from anthropogenic sources could pose diverse health impacts on humans. In this study, an online AMMS-100 atmospheric heavy metal analyzer was used to quantify 30 elements in PM2.5 under the weak and strong anthropogenic disturbance scenarios before the city lockdown period (from January 9th to 23rd) and the lockdown period (from January 26th to February 9th) due to the outbreak of COVID-19 in 2020. During the lockdown period, the average total concentration of total quantified elements was 3475.0 ng/m3, which was 28% and 33% lower than that of the week and strong anthropogenic disturbance scenarios during the pre-lockdown period. The greatest reductions were found for the elements of chromium (Cr), titanium (Ti), manganese (Mn), and Zinc (Zn), consistent with the industrial structure of Baoji. The mass concentrations of most elements showed obvious reductions when the government post-alerted the industries to reduce the operations and production. Dust, traffic sources, combustion, non-ferrous metal processing, and Ti-related industrial processing that are the contributors of the elements in the pre-lockdown period were apportioned by the positive matrix factorization (PMF) model. Substantial changes in the quantified elements' compositions and sources were found in the lockdown period. Health assessment was conducted and characterized by apportioned sources. The highest non-carcinogenic risk (HQ) was seen for Zn, demonstrating the high emissions from the related industrial activities. The concentration level of arsenic (As) exceeded the incremental lifetime carcinogenic risk (ILCR) in the lockdown period. This could be attributed to the traditional firework activities for the celebration of the Chinese New Year within the lockdown period.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Arsenic / Metals, Heavy / Air Pollutants / COVID-19 Type of study: Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Environ Sci Pollut Res Int Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: S11356-022-20184-3

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Arsenic / Metals, Heavy / Air Pollutants / COVID-19 Type of study: Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Environ Sci Pollut Res Int Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: S11356-022-20184-3