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@PHDTHESIS{Liu:916580,
      author       = {Liu, Lu},
      title        = {{S}easonal {C}omparison of the {C}hemical {C}omposition and
                      {S}ource {A}pportionment of {A}erosols during the
                      {Y}ear-{L}ong {JULIAC} {C}ampaign},
      volume       = {595},
      school       = {Univ. Wuppertal},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek Verlag},
      reportid     = {FZJ-2022-06356},
      isbn         = {978-3-95806-668-7},
      series       = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
                      Umwelt / Energy $\&$ Environment},
      pages        = {VIII, 189},
      year         = {2022},
      note         = {Dissertation, Univ. Wuppertal, 2022},
      abstract     = {Atmospheric aerosols harm environmental air quality,
                      atmospheric visibility, and play a critical role in
                      climate-ecology interaction. Among aerosol compounds,
                      organic aerosols (OA) contribute to 20 to $90\%$ mass of
                      total submicron particles, but their seasonally and
                      regionally variableemissions and evolution processes are
                      still unclear. Therefore, a year-long JULIAC (Jülich
                      Atmospheric Chemistry Project) campaign has been conducted
                      from Jan. 2019 to Nov. 2019 at the Forschungszentrum
                      Jülich, Germany to better understand the seasonal variation
                      of sourcescontributions and atmospheric evolutions of OA in
                      this semi-rural site. During the JULIAC campaign, the
                      submicron aerosol species concentration was continuously
                      measured by a highresolution time-of-flight aerosol mass
                      spectrometer (HR-ToF-AMS) for one month of each season.For
                      OA seasonal source apportionment, source factor analysis by
                      positive matrix factorization (PMF) was utilized to resolve
                      OA components into several source spectra. Moreover,
                      concurrently measured comprehensive tracer gases (like
                      volatile organic compounds (VOCs), radicals, NOx,O3), the
                      meteorological condition (like temperature, wind direction,
                      wind speed), and the modeled air parcel back trajectories
                      effectively support OA sources resolving and determination.},
      cin          = {IEK-8},
      cid          = {I:(DE-Juel1)IEK-8-20101013},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      url          = {https://juser.fz-juelich.de/record/916580},
}