Physiochemistry characteristics and sources of submicron aerosols at the background area of North China Plain: Implication of air pollution control in heating season

[1]  Yuesi Wang,et al.  Highly time-resolved chemical characterization and implications of regional transport for submicron aerosols in the North China Plain. , 2020, The Science of the total environment.

[2]  G. Carmichael,et al.  China's emission control strategies have suppressed unfavorable influences of climate on wintertime PM2.5 concentrations in Beijing since 2002 , 2020 .

[3]  D. Worsnop,et al.  Response of aerosol chemistry to clean air action in Beijing, China: Insights from two-year ACSM measurements and model simulations. , 2019, Environmental pollution.

[4]  Jiming Hao,et al.  Drivers of improved PM2.5 air quality in China from 2013 to 2017 , 2019, Proceedings of the National Academy of Sciences.

[5]  Shuxiao Wang,et al.  Nitrate dominates the chemical composition of PM2.5 during haze event in Beijing, China. , 2019, The Science of the total environment.

[6]  Qiang Zhang,et al.  Impact of clean air action on PM2.5 pollution in China , 2019, Science China Earth Sciences.

[7]  H. Fu,et al.  Characteristics of fine particle explosive growth events in Beijing, China: Seasonal variation, chemical evolution pattern and formation mechanism. , 2019, The Science of the total environment.

[8]  J. Hao,et al.  Trends in particulate matter and its chemical compositions in China from 2013–2017 , 2019, Science China Earth Sciences.

[9]  Q. Xiao,et al.  Impact of China’s Air Pollution Prevention and Control Action Plan on PM2.5 chemical composition over eastern China , 2019, Science China Earth Sciences.

[10]  Yuesi Wang,et al.  Observation of nitrate dominant PM2.5 and particle pH elevation in urban Beijing during the winter of 2017 , 2019 .

[11]  K. He,et al.  Rapid improvement of PM2.5 pollution and associated health benefits in China during 2013–2017 , 2019, Science China Earth Sciences.

[12]  Yuesi Wang,et al.  Characteristics of chemical composition and seasonal variations of PM2.5 in Shijiazhuang, China: Impact of primary emissions and secondary formation. , 2019, The Science of the total environment.

[13]  Yifang,et al.  Distinctions in source regions and formation mechanisms of secondary aerosol in Beijing from summer to winter , 2019, Atmospheric Chemistry and Physics.

[14]  D. Worsnop,et al.  Changes in Aerosol Chemistry From 2014 to 2016 in Winter in Beijing: Insights From High‐Resolution Aerosol Mass Spectrometry , 2019, Journal of Geophysical Research: Atmospheres.

[15]  Qiang Zhang,et al.  Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China , 2018, Proceedings of the National Academy of Sciences.

[16]  Meng Li,et al.  Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions , 2018, Atmospheric Chemistry and Physics.

[17]  G. de Leeuw,et al.  Variations and photochemical transformations of atmospheric constituents in North China , 2018, Atmospheric Environment.

[18]  A. Prévôt,et al.  Exploration of PM2.5 sources on the regional scale in the Pearl River Delta based on ME-2 modeling , 2018, Atmospheric Chemistry and Physics.

[19]  M. Schultz,et al.  Severe Surface Ozone Pollution in China: A Global Perspective , 2018, Environmental Science & Technology Letters.

[20]  Bo Hu,et al.  Characteristics of PM2.5 mass concentrations and chemical species in urban and background areas of China: emerging results from the CARE-China network , 2018, Atmospheric Chemistry and Physics.

[21]  Qi Zhang,et al.  Source apportionment of organic aerosol from 2-year highly time-resolved measurements by an aerosol chemical speciation monitor in Beijing, China , 2018, Atmospheric Chemistry and Physics.

[22]  Bo Hu,et al.  Chemical characterization and source identification of PM 2.5 at multiple sites in the Beijing–Tianjin–Hebei region, China , 2017 .

[23]  Qi Zhang,et al.  Real-time chemical characterization of atmospheric particulate matter in China: A review , 2017 .

[24]  Hong Liao,et al.  Weather conditions conducive to Beijing severe haze more frequent under climate change , 2017 .

[25]  Junying Sun,et al.  Chemical characterization of submicron aerosol particles during wintertime in a northwest city of China using an Aerodyne aerosol mass spectrometry. , 2017, Environmental pollution.

[26]  Min Hu,et al.  Atmospheric aerosol compositions and sources at two national backgroundsites in northern and southern China , 2016 .

[27]  Qi Zhang,et al.  Primary and secondary aerosols in Beijing in winter: sources, variations andprocesses , 2016 .

[28]  Zhanqing Li,et al.  Characterization of submicron aerosols at a suburban site in central China , 2016 .

[29]  Yuesi Wang,et al.  Characteristics of aerosol size distributions and chemical compositions during wintertime pollution episodes in Beijing , 2016 .

[30]  Zifa Wang,et al.  Chemical composition of aerosol particles and light extinction apportionment before and during the heating season in Beijing, China , 2015 .

[31]  D. Worsnop,et al.  Aerosol composition, oxidation properties, and sources in Beijing: results from the 2014 Asia-Pacific Economic Cooperation summit study , 2015 .

[32]  J. Quan,et al.  Effect of heterogeneous aqueous reactions on the secondary formation of inorganic aerosols during haze events , 2015 .

[33]  Renjian Zhang,et al.  New insights into PM 2.5 chemical composition and sources in two major cities in China during extreme haze events using aerosol mass spectrometry , 2015 .

[34]  Qi Zhang,et al.  Long-term real-time measurements of aerosol particle composition in Beijing, China: seasonal variations, meteorological effects, and source analysis , 2015 .

[35]  建辉 白 Long-Term Variation of Trace Gases and Particulate Matter at an Atmospheric Background Station in North China , 2015 .

[36]  Q. Ying,et al.  Formation of urban fine particulate matter. , 2015, Chemical reviews.

[37]  Liangfu Chen,et al.  Formation process of the widespread extreme haze pollution over northern China in January 2013: Implications for regional air quality and climate , 2014 .

[38]  M. Molina,et al.  Elucidating severe urban haze formation in China , 2014, Proceedings of the National Academy of Sciences.

[39]  A. Piazzalunga,et al.  High secondary aerosol contribution to particulate pollution during haze events in China , 2014, Nature.

[40]  J. Fung,et al.  Seasonal characteristics of fine particulate matter (PM) based on high-resolution time-of-flight aerosol mass spectrometric (HR-ToF-AMS) measurements at the HKUST Supersite in Hong Kong , 2014 .

[41]  Yuesi Wang,et al.  The heaviest particulate air-pollution episodes occurred in northern China in January, 2013: Insights gained from observation , 2014 .

[42]  C. O'Dowd,et al.  Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach , 2014 .

[43]  Qifan Liu,et al.  Characterization of submicron aerosols during a month of serious pollution in Beijing, 2013 , 2014 .

[44]  A. Prévôt,et al.  SoFi, an IGOR-based interface for the efficient use of the generalized multilinear engine (ME-2) for the source apportionment: ME-2 application to aerosol mass spectrometer data , 2013 .

[45]  Qiang Zhang,et al.  The 2013 severe haze over southern Hebei, China: model evaluation, source apportionment, and policy implications , 2013 .

[46]  Yele Sun,et al.  Aerosol composition, sources and processes during wintertime in Beijing, China , 2013 .

[47]  Junying Sun,et al.  Seasonal characterization of components and size distributions for submicron aerosols in Beijing , 2013, Science China Earth Sciences.

[48]  Qi Zhang,et al.  Effect of aqueous-phase processing on aerosol chemistry and size distributions in Fresno, California, during wintertime , 2012 .

[49]  J. Jayne,et al.  Characterization of summer organic and inorganic aerosols in Beijing, China with an Aerosol Chemical Speciation Monitor , 2012 .

[50]  J. Jimenez,et al.  Evaluation of Composition-Dependent Collection Efficiencies for the Aerodyne Aerosol Mass Spectrometer using Field Data , 2012 .

[51]  S. Kreidenweis,et al.  Investigating types and sources of organic aerosol in Rocky Mountain National Park using aerosol mass spectrometry , 2011 .

[52]  J. Jimenez,et al.  Understanding atmospheric organic aerosols via factor analysis of aerosol mass spectrometry: a review , 2011, Analytical and bioanalytical chemistry.

[53]  Yuanhang Zhang,et al.  Submicron aerosol analysis and organic source apportionment in an urban atmosphere in Pearl River Delta of China using high-resolution aerosol mass spectrometry , 2011 .

[54]  D. Worsnop,et al.  Real-time methods for estimating organic component mass concentrations from aerosol mass spectrometer data. , 2011, Environmental science & technology.

[55]  Y. Q. Wang,et al.  TrajStat: GIS-based software that uses various trajectory statistical analysis methods to identify potential sources from long-term air pollution measurement data , 2009, Environ. Model. Softw..

[56]  Michael Hannigan,et al.  Characterization of primary organic aerosol emissions from meat cooking, trash burning, and motor vehicles with high-resolution aerosol mass spectrometry and comparison with ambient and chamber observations. , 2009, Environmental science & technology.

[57]  J. Jimenez,et al.  Interpretation of organic components from Positive Matrix Factorization of aerosol mass spectrometric data , 2008 .

[58]  Judith C. Chow,et al.  Spatial and seasonal distributions of carbonaceous aerosols over China , 2007 .

[59]  C. Hueglin,et al.  Source apportionment of submicron organic aerosols at an urban site by factor analytical modelling of aerosol mass spectra , 2007 .

[60]  D. Dockery,et al.  Health Effects of Fine Particulate Air Pollution: Lines that Connect , 2006, Journal of the Air & Waste Management Association.

[61]  O. Boucher,et al.  Global estimate of aerosol direct radiative forcing from satellite measurements , 2005, Nature.

[62]  Qi Zhang,et al.  Deconvolution and quantification of hydrocarbon-like and oxygenated organic aerosols based on aerosol mass spectrometry. , 2005, Environmental science & technology.

[63]  Qi Zhang,et al.  Time- and size-resolved chemical composition of submicron particles in Pittsburgh: Implications for aerosol sources and processes , 2005 .

[64]  J. Jimenez,et al.  Characterization of urban and rural organic particulate in the Lower Fraser Valley using two Aerodyne Aerosol Mass Spectrometers , 2004 .

[65]  Charles E. Kolb,et al.  Ambient aerosol sampling using the Aerodyne Aerosol Mass Spectrometer , 2003 .

[66]  Hugh Coe,et al.  Quantitative sampling using an Aerodyne aerosol mass spectrometer 1. Techniques of data interpretation and error analysis , 2003 .

[67]  Martin Gallagher,et al.  2. Measurements of fine particulate chemical composition in two U.K. cities , 2003 .

[68]  V. Ramanathan,et al.  Aerosols, Climate, and the Hydrological Cycle , 2001, Science.

[69]  Barbara J. Turpin,et al.  Species Contributions to PM2.5 Mass Concentrations: Revisiting Common Assumptions for Estimating Organic Mass , 2001 .

[70]  Kenneth A. Smith,et al.  Development of an Aerosol Mass Spectrometer for Size and Composition Analysis of Submicron Particles , 2000 .

[71]  Z. Bai,et al.  Chemical characterization of submicron aerosol and particle growth events at a national background site (3295 m a.s.l.) on the Tibetan Plateau , 2015 .

[72]  Zifa Wang,et al.  Modeling study of regional severe hazes over mid-eastern China in January 2013 and its implications on pollution prevention and control , 2013, Science China Earth Sciences.

[73]  D. Worsnop,et al.  Highly time- and size-resolved characterization of submicron aerosol particles in Beijing using an Aerodyne Aerosol Mass Spectrometer , 2010 .

[74]  F. McLafferty Interpretation of Mass Spectra , 1966 .