Impact of meteorological conditions on airborne fine particle composition and secondary pollutant characteristics in urban area during winter-time
暂无分享,去创建一个
Stefan Emeis | Ralf Zimmermann | Klaus Schäfer | Josef Cyrys | Jürgen Schnelle-Kreis | Mike Pitz | Jose M. Arteaga-Salas | André S. H. Prévôt | J. Cyrys | M. Pitz | K. Schäfer | J. M. Arteaga-Salas | A. Prévôt | R. Zimmermann | M. Elsasser | Stefan Emeis | J. Schnelle-Kreis | Jianwei Gu | M. Elsasser | J. Gu
[1] C. Hueglin,et al. Source apportionment of submicron organic aerosols at an urban site by linear unmixing of aerosol mass spectra , 2006 .
[2] P. DeCarlo,et al. Characterization of aerosol chemical composition with aerosol mass spectrometry in Central Europe: An overview , 2009 .
[3] Ernest Weingartner,et al. Fine and ultrafine particles in the Zürich (Switzerland) area measured with a mobile laboratory: an assessment of the seasonal and regional variation throughout a year , 2003 .
[4] J. H. Ward. Hierarchical Grouping to Optimize an Objective Function , 1963 .
[5] Stephane C. Alfaro,et al. Correlation between meteorological conditions and aerosol characteristics at an East-Mediterranean coastal site , 2013 .
[6] Ankit Tandon,et al. Coupling between meteorological factors and ambient aerosol load , 2010 .
[7] Dingli Yue,et al. Characteristics of aerosol size distributions and new particle formation in the summer in Beijing , 2009 .
[8] J. Schneider,et al. Wintertime aerosol chemical composition and source apportionment of the organic fraction in the metropolitan area of Paris , 2012 .
[9] J. Jimenez,et al. A generalised method for the extraction of chemically resolved mass spectra from aerodyne aerosol mass spectrometer data , 2004 .
[10] A. Peters,et al. Source apportionment of ambient particles: Comparison of positive matrix factorization analysis applied to particle size distribution and chemical composition data , 2011 .
[11] W. Malm,et al. Estimates of aerosol species scattering characteristics as a function of relative humidity , 2001 .
[12] A. Peters,et al. Quality control and quality assurance for particle size distribution measurements at an urban monitoring station in Augsburg, Germany. , 2008, Journal of environmental monitoring : JEM.
[13] Chunsheng Zhao,et al. Characteristics of pollutants and their correlation to meteorological conditions at a suburban site in the North China Plain , 2011 .
[14] Alexandra Schneider,et al. Health effects of particulate air pollution: A review of epidemiological evidence , 2011, Inhalation toxicology.
[15] K. Schäfer,et al. Evaluation of the Interpretation of Ceilometer Data with RASS and Radiosonde Data , 2012, Boundary-Layer Meteorology.
[16] H. Mayer,et al. Variability of PM10 concentrations dependent on meteorological conditions , 2009 .
[17] Qiang Zhang,et al. The challenge of improving visibility in Beijing , 2010 .
[18] D. Oderbolz,et al. One decade of parallel fine (PM 2.5 ) and coarse (PM 10 ???PM 2.5 ) particulate matter measurements in Europe: trends and variability , 2012 .
[19] Stefan Emeis,et al. A measurement based analysis of the spatial distribution, temporal variation and chemical composition of particulate matter in Munich and Augsburg , 2011 .
[20] J. Cyrys,et al. Organic molecular markers and signature from wood combustion particles in winter ambient aerosols: aerosol mass spectrometer (AMS) and high time-resolved GC-MS measurements in Augsburg, Germany , 2012 .
[21] P. Paatero,et al. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values† , 1994 .
[22] R. Stull. An Introduction to Boundary Layer Meteorology , 1988 .
[23] Andrea Gambaro,et al. Characterisation of PM2.5 concentrations and turbulent fluxes on a island of the Venice lagoon using high temporal resolution measurements , 2012 .
[24] Stefan Emeis,et al. Surface-based remote sensing of the mixing-layer height a review , 2008 .
[25] J. Osán,et al. Aerosol optical depth, aerosol composition and air pollution during summer and winter conditions in Budapest. , 2007, The Science of the total environment.
[26] J. Jimenez,et al. Interpretation of organic components from Positive Matrix Factorization of aerosol mass spectrometric data , 2008 .
[27] Yu Qin,et al. Association of lung function in a panel of young healthy adults with various chemical components of ambient fine particulate air pollution in Beijing, China , 2013 .
[28] P. Paatero. Least squares formulation of robust non-negative factor analysis , 1997 .
[29] A. Wiedensohler,et al. DESIGN OF A DMA-BASED SIZE SPECTROMETER FOR A LARGE PARTICLE SIZE RANGE AND STABLE OPERATION , 1999 .
[30] A. Peters,et al. Selection of key ambient particulate variables for epidemiological studies - applying cluster and heatmap analyses as tools for data reduction. , 2012, The Science of the total environment.
[31] Stefan Emeis,et al. Influence of mixing layer height upon air pollution in urban and sub-urban areas , 2006 .
[32] P. Zhao,et al. Long-term visibility trends and characteristics in the region of Beijing, Tianjin, and Hebei, China , 2011 .
[33] I. Barmpadimos,et al. Influence of meteorology on PM 10 trends and variability in Switzerland from 1991 to 2008 , 2010 .
[34] Qi Zhang,et al. O/C and OM/OC ratios of primary, secondary, and ambient organic aerosols with high-resolution time-of-flight aerosol mass spectrometry. , 2008, Environmental science & technology.
[35] Yuesi Wang,et al. The heaviest particulate air-pollution episodes occurred in northern China in January, 2013: Insights gained from observation , 2014 .
[36] Daniel J. Jacob,et al. Correlations between fine particulate matter (PM2.5) and meteorological variables in the United States: implications for the sensitivity of PM2.5 to climate change. , 2010 .
[37] Tingting Han,et al. Increase of aerosol scattering by hygroscopic growth: Observation, modeling, and implications on visibility , 2013 .
[38] S. D. De Wekker,et al. Impact of atmospheric boundary layer depth variability and wind reversal on the diurnal variability of aerosol concentration at a valley site. , 2014, The Science of the total environment.
[39] Annette Peters,et al. Spatial and temporal variation of particle number concentration in Augsburg, Germany. , 2008, The Science of the total environment.
[40] Katrin Fuhrer,et al. Field-deployable, high-resolution, time-of-flight aerosol mass spectrometer. , 2006, Analytical chemistry.
[41] C. Wen,et al. Comparative influences of airborne pollutants and meteorological parameters on atmospheric visibility and turbidity , 2010 .
[42] Andreas Rauch,et al. Determination of mixing layer heights from ceilometer data , 2004, SPIE Remote Sensing.
[43] Gerald Spindler,et al. Long-term size-segregated particle (PM10, PM2.5, PM1) characterization study at Melpitz -- influence of air mass inflow, weather conditions and season , 2013, Journal of Atmospheric Chemistry.
[44] J. Jacobeit. Stadtklimatologie von Augsburg unter besonderer Berücksichtigung der lufthygienischen Situation sowie des Lärms: Forschungsprojekt im Auftrag und mit Förderung der Stadt Augsburg , 1986 .
[45] H. Elminir. Dependence of urban air pollutants on meteorology. , 2005, The Science of the total environment.
[46] Christoph Münkel. Mixing height determination with lidar ceilometers results from Helsinki Testbed , 2007 .