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Journal Abstract Search

202 related items for PubMed ID: 28527324

  • 61. Ambient particle characteristics by single particle aerosol mass spectrometry at a coastal site in Hong Kong: a case study affected by the sea-land breeze.
    Wang N, Zhang Y, Li L, Wang H, Zhao Y, Wu G, Li M, Zhou Z, Wang X, Yu JZ, Zhou Y.
    PeerJ; 2022; 10():e14116. PubMed ID: 36325180
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  • 63. Characterization of Fe-containing particles in Chengdu, southwest China, using single-particle aerosol mass spectrometry.
    He R, Zhang J, Chen L, Zhang W, Xi Y.
    J Environ Sci (China); 2024 Feb; 136():110-120. PubMed ID: 37923423
    [Abstract] [Full Text] [Related]

  • 64. Molecular marker characterization and source appointment of particulate matter and its organic aerosols.
    Choi JK, Ban SJ, Kim YP, Kim YH, Yi SM, Zoh KD.
    Chemosphere; 2015 Sep; 134():482-91. PubMed ID: 26022138
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  • 66. Characterization of PM2.5 and identification of transported secondary and biomass burning contribution in Seoul, Korea.
    Kim Y, Seo J, Kim JY, Lee JY, Kim H, Kim BM.
    Environ Sci Pollut Res Int; 2018 Feb; 25(5):4330-4343. PubMed ID: 29181753
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  • 67. Characterization and source apportionment of size-segregated atmospheric particulate matter collected at ground level and from the urban canopy in Tianjin.
    Wang J, Zhou M, Liu BS, Wu JH, Peng X, Zhang YF, Han SQ, Feng YC, Zhu T.
    Environ Pollut; 2016 Dec; 219():982-992. PubMed ID: 27838065
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  • 68. Wood burning pollution in southern Chile: PM2.5 source apportionment using CMB and molecular markers.
    Villalobos AM, Barraza F, Jorquera H, Schauer JJ.
    Environ Pollut; 2017 Jun; 225():514-523. PubMed ID: 28318790
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  • 69.
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  • 70. Real time analysis of lead-containing atmospheric particles in Guangzhou during wintertime using single particle aerosol mass spectrometry.
    Lu J, Ma L, Cheng C, Pei C, Chan CK, Bi X, Qin Y, Tan H, Zhou J, Chen M, Li L, Huang B, Li M, Zhou Z.
    Ecotoxicol Environ Saf; 2019 Jan 30; 168():53-63. PubMed ID: 30384167
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  • 74. [Pollution Characteristics and Sources of Carbonaceous Aerosol in PM2.5 During Winter in Guanzhong Area].
    Tian PS, Cao JJ, Han YM, Zhang NN, Zhang R, Liu SX.
    Huan Jing Ke Xue; 2016 Feb 15; 37(2):427-33. PubMed ID: 27363127
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  • 75.
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  • 76. Source and mixing state of iron-containing particles in Shanghai by individual particle analysis.
    Zhang G, Bi X, Lou S, Li L, Wang H, Wang X, Zhou Z, Sheng G, Fu J, Chen C.
    Chemosphere; 2014 Jan 15; 95():9-16. PubMed ID: 23719486
    [Abstract] [Full Text] [Related]

  • 77. Characterization of particulate matter and its extinction ability during different seasons and weather conditions in Sinkiang, China: two case studies.
    Wang L, Zhu S, Liu Z, Lu J, Xiang Z, Lan J, Liu J, Yu M, Chen Y, Chen J.
    Environ Sci Pollut Res Int; 2020 Jun 15; 27(18):22414-22422. PubMed ID: 32314292
    [Abstract] [Full Text] [Related]

  • 78. Inorganic markers, carbonaceous components and stable carbon isotope from biomass burning aerosols in Northeast China.
    Cao F, Zhang SC, Kawamura K, Zhang YL.
    Sci Total Environ; 2016 Dec 01; 572():1244-1251. PubMed ID: 26412422
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  • 79. Composition, mixing state, and size distribution of single submicron particles during pollution episodes in a coastal city in southeast China.
    Xu L, Wu X, Hong Z, Zhang Y, Deng J, Hong Y, Chen J.
    Environ Sci Pollut Res Int; 2019 Jan 01; 26(2):1464-1473. PubMed ID: 30426379
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  • 80.
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