99 citations as recorded by crossref.

1. Regional atmospheric pollutant transport mechanisms over the North China Plain driven by topography and planetary boundary layer processes J. Quan et al. https://doi.org/10.1016/j.atmosenv.2019.117098
2. Numerical study of air pollution over a typical basin topography: Source appointment of fine particulate matter during one severe haze in the megacity Xi'an X. Yang et al. https://doi.org/10.1016/j.scitotenv.2019.135213
3. A comprehensive review of vertical profiling of ambient air quality-particulate matter and its impacts on climatic & environmental health P. Nyayapathi et al. https://doi.org/10.1007/s11869-025-01697-5
4. Evaluation of trace elements contamination in cloud/fog water at an elevated mountain site in Northern China X. Liu et al. https://doi.org/10.1016/j.chemosphere.2012.02.015
5. Source contributions to primary and secondary inorganic particulate matter during a severe wintertime PM2.5 pollution episode in Xi'an, China D. Wang et al. https://doi.org/10.1016/j.atmosenv.2014.08.020
6. Inversion of Nighttime PM2.5 Mass Concentration in Beijing Based on the VIIRS Day-Night Band X. Zhao et al. https://doi.org/10.3390/atmos7100136
7. Evolutionary processes and sources of high-nitrate haze episodes over Beijing, Spring T. Yang et al. https://doi.org/10.1016/j.jes.2016.04.024
8. A numerical study of contributions to air pollution in Beijing during CAREBeijing-2006 Q. Wu et al. https://doi.org/10.5194/acp-11-5997-2011
9. Three-year, 5 km resolution China PM 2.5 simulation: Model performance evaluation Y. Wang et al. https://doi.org/10.1016/j.atmosres.2018.02.016
10. Meteorological and chemical impacts on PM2.5 during a haze episode in a heavily polluted basin city of eastern China Z. Bao et al. https://doi.org/10.1016/j.envpol.2019.04.045
11. Contributions of residential coal combustion to the air quality in Beijing–Tianjin–Hebei (BTH), China: a case study X. Li et al. https://doi.org/10.5194/acp-18-10675-2018
12. Tropospheric NO2 columns over East Central China: Comparisons between SCIAMACHY measurements and nested CMAQ simulations C. Shi et al. https://doi.org/10.1016/j.atmosenv.2008.05.046
13. Photochemical production of ozone in Beijing during the 2008 Olympic Games C. Chou et al. https://doi.org/10.5194/acp-11-9825-2011
14. Analysis on the Characteristics and Cause of a Compound Pollution Process in Changsha in 2017 H. Yan et al. https://doi.org/10.1051/e3sconf/202125901001
15. An evaluation of air quality modeling over the Pearl River Delta during November 2006 Q. Wu et al. https://doi.org/10.1007/s00703-011-0179-z
16. Investigation of the sources and evolution processes of severe haze pollution in Beijing in January 2013 Y. Sun et al. https://doi.org/10.1002/2014JD021641
17. Integrated studies of a regional ozone pollution synthetically affected by subtropical high and typhoon system in the Yangtze River Delta region, China L. Shu et al. https://doi.org/10.5194/acp-16-15801-2016
18. Estimating the Contribution of Local Primary Emissions to Particulate Pollution Using High‐Density Station Observations C. Zhao et al. https://doi.org/10.1029/2018JD028888
19. A high-resolution urban CO2 transport model with anthropogenic and biogenic fluxes L. Li et al. https://doi.org/10.5194/gmd-19-6417-2026
20. Seasonal variation of local atmospheric circulations and boundary layer structure in the Beijing‐Tianjin‐Hebei region and implications for air quality Y. Miao et al. https://doi.org/10.1002/2015MS000522
21. Dicarboxylic acids, ketocarboxylic acids, α-dicarbonyls, fatty acids and benzoic acid in PM2.5 aerosol collected during CAREBeijing-2007: an effect of traffic restriction on air quality K. Ho et al. https://doi.org/10.5194/acp-15-3111-2015
22. A review of atmospheric chemistry research in China: Photochemical smog, haze pollution, and gas-aerosol interactions J. Ma et al. https://doi.org/10.1007/s00376-012-1188-7
23. Source-specific risks of synchronous heavy metals and PAHs in inhalable particles at different pollution levels: Variations and health risks during heavy pollution Y. Sun et al. https://doi.org/10.1016/j.envint.2020.106162
24. Vertical profile of particulate matter: A review of techniques and methods R. Dubey et al. https://doi.org/10.1007/s11869-022-01192-1
25. Emission controls versus meteorological conditions in determining aerosol concentrations in Beijing during the 2008 Olympic Games Y. Gao et al. https://doi.org/10.5194/acp-11-12437-2011
26. Numerical modeling of regional transport of PM2.5 during a severe pollution event in the Beijing–Tianjin–Hebei region in November 2015 W. Zhang et al. https://doi.org/10.1016/j.atmosenv.2021.118393
27. Effects of meteorology and emission reduction measures on air pollution in Beijing during heating seasons N. Cheng et al. https://doi.org/10.1016/j.apr.2019.01.005
28. Air pollution control policies and impacts: A review T. Feng et al. https://doi.org/10.1016/j.rser.2023.114071
29. Development of a vehicle emission inventory with high temporal–spatial resolution based on NRT traffic data and its impact on air pollution in Beijing – Part 2: Impact of vehicle emission on urban air quality J. He et al. https://doi.org/10.5194/acp-16-3171-2016
30. Assessment of air quality benefits from the national pollution control policy of thermal power plants in China: A numerical simulation Z. Wang et al. https://doi.org/10.1016/j.atmosenv.2015.01.022
31. The unique OMI HCHO/NO2 feature during the 2008 Beijing Olympics: Implications for ozone production sensitivity J. Witte et al. https://doi.org/10.1016/j.atmosenv.2011.03.015
32. The impact of circulation patterns on regional transport pathways and air quality over Beijing and its surroundings J. Zhang et al. https://doi.org/10.5194/acp-12-5031-2012
33. Contributions of trans-boundary transport to summertime air quality in Beijing, China J. Wu et al. https://doi.org/10.5194/acp-17-2035-2017
34. Assessment of inter-city transport of particulate matter in the Beijing–Tianjin–Hebei region X. Chang et al. https://doi.org/10.5194/acp-18-4843-2018
35. Numerical Study of The Effect of Traffic Restriction on Air Quality in Beijing Q. Wu et al. https://doi.org/10.2151/sola.6A-005
36. Multi-Time Scale Analysis of Regional Aerosol Optical Depth Changes in National-Level Urban Agglomerations in China Using Modis Collection 6.1 Datasets from 2001 to 2017 L. Zhang et al. https://doi.org/10.3390/rs11020201
37. Effects of aerosol-radiation feedback and topography during an air pollution event over the North China Plain during December 2017 D. Wang et al. https://doi.org/10.1016/j.apr.2018.10.006
38. Characterization of criteria air pollutants in Beijing during 2014–2015 H. Guo et al. https://doi.org/10.1016/j.envres.2017.01.029
39. Development of a vehicle emission inventory with high temporal–spatial resolution based on NRT traffic data and its impact on air pollution in Beijing – Part 1: Development and evaluation of vehicle emission inventory B. Jing et al. https://doi.org/10.5194/acp-16-3161-2016
40. Domestic Ozone Sensitivity to Chinese Emissions Inventories: A Comparison between MICS-Asia 2010 and INTEX-B 2006 S. Kim et al. https://doi.org/10.5572/KOSAE.2017.33.5.480
41. Investigation of the Air Pollution Event in Beijing-Tianjin-Hebei Region in December 2016 Using WRF-Chem D. Wang et al. https://doi.org/10.1155/2018/1634578
42. Model assessment of atmospheric pollution control schemes for critical emission regions S. Zhai et al. https://doi.org/10.1016/j.atmosenv.2015.08.093
43. Development of an on-line source-tagged model for sulfate, nitrate and ammonium: A modeling study for highly polluted periods in Shanghai, China J. Wu et al. https://doi.org/10.1016/j.envpol.2016.11.061
44. Evaluating the role of clean heating technologies in rural areas in improving the air quality B. Li et al. https://doi.org/10.1016/j.apenergy.2021.116693
45. Acidic gases, NH3 and secondary inorganic ions in PM10 during summertime in Beijing, China and their relation to air mass history Z. Wu et al. https://doi.org/10.1016/j.chemosphere.2009.04.066
46. Spatial and temporal variations of aerosols around Beijing in summer 2006: 2. Local and column aerosol optical properties H. Matsui et al. https://doi.org/10.1029/2010JD013895
47. Process analysis of regional ozone formation over the Yangtze River Delta, China using the Community Multi-scale Air Quality modeling system L. Li et al. https://doi.org/10.5194/acp-12-10971-2012
48. The empirical relationship between the PM2.5 concentration and aerosol optical depth over the background of North China from 2009 to 2011 J. Xin et al. https://doi.org/10.1016/j.atmosres.2013.11.001
49. Spatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing N. Cheng et al. https://doi.org/10.1038/s41598-017-08895-x
50. Prediction of the Tropospheric NO2 Column Concentration and Distribution Using the Time Sequence-Based versus Influencing Factor-Based Random Forest Regression Model T. Geng et al. https://doi.org/10.3390/su15032748
51. Probabilistic assessment of high concentrations of particulate matter (PM 10 ) in Beijing, China Z. Zhang et al. https://doi.org/10.1016/j.apr.2017.04.006
52. Spatiotemporal patterns of recent PM2.5 concentrations over typical urban agglomerations in China Y. Shen et al. https://doi.org/10.1016/j.scitotenv.2018.11.105
53. Comparisons of two serious air pollution episodes in winter and summer in Beijing N. Cheng et al. https://doi.org/10.1016/j.jes.2017.10.002
54. A modeling study of PM2.5 transboundary transport during a winter severe haze episode in southern Yangtze River Delta, China Y. Yu et al. https://doi.org/10.1016/j.atmosres.2020.105159
55. Characteristics and classification of PM2.5 pollution episodes in Beijing from 2013 to 2015 X. Wang et al. https://doi.org/10.1016/j.scitotenv.2017.08.206
56. Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing Z. Zhang et al. https://doi.org/10.1016/j.atmosenv.2015.02.071
57. Tracking a Severe Pollution Event in Beijing in December 2016 with the GRAPES–CUACE Adjoint Model C. Wang et al. https://doi.org/10.1007/s13351-018-7062-5
58. Source appointment of fine particle number and volume concentration during severe haze pollution in Beijing in January 2013 Z. Liu et al. https://doi.org/10.1007/s11356-015-5868-6
59. New method for evaluating winter air quality: PM2.5 assessment using Community Multi-Scale Air Quality Modeling (CMAQ) in Xi'an X. Yang et al. https://doi.org/10.1016/j.atmosenv.2019.04.019
60. Characteristics of ventilation coefficient and its impact on urban air pollution C. Lu et al. https://doi.org/10.1007/s11771-012-1047-9
61. Estimation of PM2.5 concentrations with high spatiotemporal resolution in Beijing using the ERA5 dataset and machine learning models Z. Wang et al. https://doi.org/10.1016/j.asr.2022.12.016
62. Observation of regional air pollutant transport between the megacity Beijing and the North China Plain Y. Li et al. https://doi.org/10.5194/acp-16-14265-2016
63. Using a mobile laboratory to characterize the distribution and transport of sulfur dioxide in and around Beijing M. Wang et al. https://doi.org/10.5194/acp-11-11631-2011
64. The Causes of “Vulnerable Regions” to Air Pollution in Winter in the Beijing-Tianjin-Hebei Region: A Topographic–Meteorological Impact Model Based on Adaptive Emission Constraint Technique K. Meng et al. https://doi.org/10.3390/atmos10110719
65. Origin of springtime ozone enhancements in the lower troposphere over Beijing: in situ measurements and model analysis J. Huang et al. https://doi.org/10.5194/acp-15-5161-2015
66. Study on ambient air quality in Beijing for the summer 2008 Olympic Games W. Wang et al. https://doi.org/10.1007/s11869-008-0003-1
67. Observational evidence of the regional transported black carbon in high layer over Beijing Z. Kang et al. https://doi.org/10.1016/j.atmosenv.2023.120000
68. The Formation of Barrier Winds East of the Loess Plateau and Their Effects on Dispersion Conditions in the North China Plains X. Hu et al. https://doi.org/10.1007/s10546-016-0159-4
69. Spatio-temporal variations in SO2 and NO2 emissions caused by heating over the Beijing-Tianjin-Hebei Region constrained by an adaptive nudging method with OMI data K. Meng et al. https://doi.org/10.1016/j.scitotenv.2018.06.021
70. The air quality of Beijing–Tianjin–Hebei regions around the Asia-Pacific Economic Cooperation (APEC) meetings L. Sheng et al. https://doi.org/10.1016/j.apr.2015.06.003
71. Possible influence of atmospheric circulations on winter haze pollution in the Beijing–Tianjin–Hebei region, northern China Z. Zhang et al. https://doi.org/10.5194/acp-16-561-2016
72. Effect Simulation of Responding Measures During a Heavy Pollution Red Alert in Tianjin City M. Li et al. https://doi.org/10.1088/1755-1315/208/1/012013
73. Understanding of regional air pollution over China using CMAQ, part I performance evaluation and seasonal variation X. Liu et al. https://doi.org/10.1016/j.atmosenv.2010.03.035
74. Validation of SO2 retrievals from the Ozone Monitoring Instrument over NE China N. Krotkov et al. https://doi.org/10.1029/2007JD008818
75. An air quality forecasting system in Beijing - Application to the study of dust storm events in China in May 2008 Q. Zhang et al. https://doi.org/10.1016/S1001-0742(11)60733-X
76. Beijing Olympics as an aerosol field experiment J. Cermak & R. Knutti https://doi.org/10.1029/2009GL038572
77. A neural network based ensemble approach for improving the accuracy of meteorological fields used for regional air quality modeling S. Cheng et al. https://doi.org/10.1016/j.jenvman.2012.08.020
78. Air quality forecast of PM10 in Beijing with Community Multi-scale Air Quality Modeling (CMAQ) system: emission and improvement Q. Wu et al. https://doi.org/10.5194/gmd-7-2243-2014
79. Source apportionment of PM2.5 nitrate and sulfate in China using a source-oriented chemical transport model H. Zhang et al. https://doi.org/10.1016/j.atmosenv.2012.08.014
80. Relationships between submicrometer particulate air pollution and air mass history in Beijing, China, 2004–2006 B. Wehner et al. https://doi.org/10.5194/acp-8-6155-2008
81. Local and distant source contributions to secondary organic aerosol in the Beijing urban area in summer J. Lin et al. https://doi.org/10.1016/j.atmosenv.2015.08.098
82. Detection of critical PM2.5 emission sources and their contributions to a heavy haze episode in Beijing, China, using an adjoint model S. Zhai et al. https://doi.org/10.5194/acp-18-6241-2018
83. Distribution and sources of air pollutants in the North China Plain based on on-road mobile measurements Y. Zhu et al. https://doi.org/10.5194/acp-16-12551-2016
84. Tracking sensitive source areas of different weather pollution types using GRAPES-CUACE adjoint model C. Wang et al. https://doi.org/10.1016/j.atmosenv.2017.11.041
85. Characteristics of aerosol size distributions and chemical compositions during wintertime pollution episodes in Beijing Z. Liu et al. https://doi.org/10.1016/j.atmosres.2015.08.013
86. Spatial and temporal variations of aerosols around Beijing in summer 2006: Model evaluation and source apportionment H. Matsui et al. https://doi.org/10.1029/2008JD010906
87. Air pollutant emissions from Chinese households: A major and underappreciated ambient pollution source J. Liu et al. https://doi.org/10.1073/pnas.1604537113
88. Relationship Between Fine-Particle Pollution and the Urban Heat Island in Beijing, China: Observational Evidence Z. Zheng et al. https://doi.org/10.1007/s10546-018-0362-6
89. Number size distribution of atmospheric particles in a suburban Beijing in the summer and winter of 2015 P. Du et al. https://doi.org/10.1016/j.atmosenv.2018.05.023
90. Air quality and emissions in the Yangtze River Delta, China L. Li et al. https://doi.org/10.5194/acp-11-1621-2011
91. Source tagging modeling study of regional contributions to acid rain in summer over Liaoning Province, Northeastern China A. Gbaguidi et al. https://doi.org/10.1016/j.envpol.2017.12.076
92. Mapping nighttime PM2.5 from VIIRS DNB using a linear mixed-effect model D. Fu et al. https://doi.org/10.1016/j.atmosenv.2018.02.001
93. Evaluating the “2+26” regional strategy for air quality improvement during two air pollution alerts in Beijing: variations in PM2.5 concentrations, source apportionment, and the relative contribution of local emission and regional transport Z. Chen et al. https://doi.org/10.5194/acp-19-6879-2019
94. Estimating background concentrations of PM2.5 for urban air quality modelling in a data poor environment E. Draper et al. https://doi.org/10.1016/j.atmosenv.2023.120107
95. Relationships between persistent organic pollutants and carbonaceous materials in aquatic sediments of Taiwan C. Hung et al. https://doi.org/10.1016/j.marpolbul.2010.01.026
96. Identifying anthropogenic and natural influences on extreme pollution of respirable suspended particulates in Beijing using backward trajectory analysis Y. Song et al. https://doi.org/10.1016/j.jhazmat.2007.10.064
97. Estimating radiative impacts of black carbon associated with mixing state in the lower atmosphere over the northern North China Plain K. Hu et al. https://doi.org/10.1016/j.chemosphere.2020.126455
98. Mitigation pathways of air pollution from residential emissions in the Beijing-Tianjin-Hebei region in China J. Liu et al. https://doi.org/10.1016/j.envint.2018.09.059
99. Air quality during the 2008 Beijing Olympics: secondary pollutants and regional impact T. Wang et al. https://doi.org/10.5194/acp-10-7603-2010