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Real time analysis of lead-containing atmospheric particles in Guangzhou during wintertime using single particle aerosol mass spectrometry.
Lu, Jianglin; Ma, Li; Cheng, Chunlei; Pei, Chenglei; Chan, Chak K; Bi, Xinhui; Qin, Yiming; Tan, Haobo; Zhou, Jingbo; Chen, Mubai; Li, Lei; Huang, Bo; Li, Mei; Zhou, Zhen.
Afiliação
  • Lu J; Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China; State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; Guangdong Provincial Engineering Research Center for Online
  • Ma L; Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China; State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; Guangdong Provincial Engineering Research Center for Online
  • Cheng C; Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China; Guangdong Provincial Engineering Research Center for Online Source Apportionment System of Air Pollution, Guangzhou 510632, China.
  • Pei C; State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Resources Utilization and Protection, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China; University of Chinese Academy of Sciences, Beijing 100049, China; Guangzhou E
  • Chan CK; School of Energy and Environment, City University of Hong Kong, Hong Kong, China.
  • Bi X; State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Resources Utilization and Protection, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China.
  • Qin Y; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
  • Tan H; Guangdong Ecological Meteorology Center, Guangzhou 510080, China.
  • Zhou J; Shijiazhuang Environmental Monitoring Station of Hebei Province, Shi Jiazhuang 050022, China.
  • Chen M; College of Chemistry and Environment Protection Engineering, Southwest Minzu University, Chengdu 610225, China.
  • Li L; Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China; Guangdong Provincial Engineering Research Center for Online Source Apportionment System of Air Pollution, Guangzhou 510632, China.
  • Huang B; Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China; Guangdong Provincial Engineering Research Center for Online Source Apportionment System of Air Pollution, Guangzhou 510632, China.
  • Li M; Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China; State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; Guangdong Provincial Engineering Research Center for Online
  • Zhou Z; Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China; Guangdong Provincial Engineering Research Center for Online Source Apportionment System of Air Pollution, Guangzhou 510632, China.
Ecotoxicol Environ Saf ; 168: 53-63, 2019 Jan 30.
Article em En | MEDLINE | ID: mdl-30384167
ABSTRACT
The toxic effects of lead on human health and the environment have long been a focus of research. To explore sources of lead in Guangzhou, China, we investigated atmospheric lead-containing particles (LCPs) during wintertime using a single particle aerosol mass spectrometer (SPAMS). Based on mass spectral features, LCPs were classified into eight major particle types, including Pb-Cl and Pb-Cl-Li (coal combustion and waste incineration), Pb-Cl-EC and Pb-Cl-OC (diesel trucks and coal combustion), Pb-Cl-Fe (iron and steel industry), Pb-Cl-AlSi (dust), Pb-Sec (secondary formation), and Pb-Cl-Zn (industrial process); these sources (in parentheses) were identified by comparing atmospheric LCP mass spectra with authentic Pb emission source mass spectra. Sampling periods with LCP number fractions (NFs) more than three times the average LCP NF (APF = 4.35%) and below the APF were defined as high LCP NF periods (HLFPs H1, H3, and H5) and low LCP NF APF periods (LLFPs L2 and L4), respectively. Diurnal patterns and high Pb-Sec content during LLFPs indicate that photochemical activity and heterogeneous reactions may have controlled Pb-Sec particle formation. The inverse Pb-Cl and Pb-Sec particle diurnal trends during LLFPs suggest the replacement of Cl by sulfate and nitrate. On average over the five periods, ~ 76% of the LCPs likely arose from coal combustion and/or waste incineration, which were dominant sources during all five periods, followed by diesel trucks during LLFPs and iron- and steel-related sources during HLFPs; HLFP LCPs arose mainly from primary emissions. These results can be used to more efficiently control Pb emission sources and prevent harm to human and environmental health from Pb toxicity.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estações do Ano / Poluentes Atmosféricos / Chumbo Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Ecotoxicol Environ Saf Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estações do Ano / Poluentes Atmosféricos / Chumbo Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Ecotoxicol Environ Saf Ano de publicação: 2019 Tipo de documento: Article