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PM2.5 source apportionment identified with total and soluble elements in positive matrix factorization.
Li, Wenshuai; Qi, Yuxuan; Qu, Wen; Qu, Wenjun; Shi, Jinhui; Zhang, Daizhou; Liu, Yingchen; Zhang, Yanjing; Zhang, Weihang; Ren, Danyang; Ma, Yuanyuan; Wang, Xinfeng; Yi, Li; Sheng, Lifang; Zhou, Yang.
Afiliación
  • Li W; Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong, China.
  • Qi Y; Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong, China.
  • Qu W; North China Sea Marine Forecasting Center of State Ocean Administration, Qingdao, Shandong, China.
  • Qu W; Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong, China.
  • Shi J; College of Environmental Science and Engineering, Ocean University of China, Qingdao, Shandong, China.
  • Zhang D; Faculty of Environmental and Symbiotic Sciences, Prefectural University of Kumamoto, Kumamoto 862-8502, Japan.
  • Liu Y; Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong, China.
  • Zhang Y; Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong, China.
  • Zhang W; Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong, China.
  • Ren D; Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong, China.
  • Ma Y; Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong, China.
  • Wang X; Environment Research Institute, Shandong University, Qingdao, Shandong, China.
  • Yi L; Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong, China.
  • Sheng L; Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong, China. Electronic address: shenglf@ouc.e
  • Zhou Y; Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong, China. Electronic address: yangzhou@ouc.
Sci Total Environ ; 858(Pt 2): 159948, 2023 Feb 01.
Article en En | MEDLINE | ID: mdl-36336053
Source apportionments of urban aerosols identified with positive matrix factorization (PMF) are sensitive to input variables. So far, total elements were frequently included as effective factors in PMF-based source apportionment. We investigated the advances to involve soluble parts of elements in the source apportionment with four data sets of PM2.5 composition observed at a coastal city (Qingdao) in northern China: water-soluble ions plus organic and elemental carbon (IC set), the IC set plus total elements (ICTE set), the IC set plus soluble elements (ICSE set), and the IC set plus both total elements and soluble elements (ICAE set). The apportionments of six sources, including secondary sulfate, secondary nitrate, secondary oxalate, sea salt, biomass burning and dust, were identified with the IC set. In comparison, pollutants from vehicle + coal combustion, ship emissions, waste incineration and industrial activities were also identified with the ICTE, ICSE, or ICAE sets. We found that the PMF solutions of the ICAE set could distinguish aged and fresh dust, and identify fly ash and aged pollutants from industrial sources. The profiles and corresponding time series of vehicle + coal combustion, secondary aerosols, ship emissions, sea salt, and biomass burning emissions identified with the four data sets were very similar, while discrepancies were encountered for waste incineration, dust, and industrial sources. These results indicate the benefits and potentials with total and soluble elements involved in PMF-based source apportionments.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Material Particulado País/Región como asunto: Asia Idioma: En Revista: Sci Total Environ Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Material Particulado País/Región como asunto: Asia Idioma: En Revista: Sci Total Environ Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos