91 citations as recorded by crossref.

1. 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
2. Impacts of PBL schemes on PM2.5 simulation and their responses to aerosol-radiation feedback in GRAPES_CUACE model during severe haze episodes in Jing-Jin-Ji, China Y. Peng et al. https://doi.org/10.1016/j.atmosres.2020.105268
3. The Role of Aerosol‐Radiation Interaction in the Meteorology Prediction at the Weather Scale in the Numerical Weather Prediction Model W. Zhang et al. https://doi.org/10.1029/2021GL097026
4. Temperature inversions in severe polluted days derived from radiosonde data in North China from 2011 to 2016 T. Xu et al. https://doi.org/10.1016/j.scitotenv.2018.08.088
5. Evaluating the contributions of changed meteorological conditions and emission to substantial reductions of PM2.5 concentration from winter 2016 to 2017 in Central and Eastern China W. Zhang et al. https://doi.org/10.1016/j.scitotenv.2020.136892
6. A foehn-induced haze front in Beijing: observations and implications J. Li et al. https://doi.org/10.5194/acp-20-15793-2020
7. Changes in spatial patterns of PM2.5 pollution in China 2000–2018: Impact of clean air policies Q. Xiao et al. https://doi.org/10.1016/j.envint.2020.105776
8. Intermittent turbulence contributes to vertical dispersion of PM2.5 in the North China Plain: cases from Tianjin W. Wei et al. https://doi.org/10.5194/acp-18-12953-2018
9. Assessment of Emission Reduction and Meteorological Change in PM2.5 and Transport Flux in Typical Cities Cluster during 2013–2017 P. Guan et al. https://doi.org/10.3390/su13105685
10. The combined effects of heterogeneous chemistry and aerosol-radiation interaction on severe haze simulation by atmospheric chemistry model in Middle-Eastern China Z. Liu et al. https://doi.org/10.1016/j.atmosenv.2023.119729
11. Subgrid-scale aerosol–cloud interaction in the atmospheric chemistry model CMA_Meso5.1/CUACE and its impacts on mesoscale meteorology prediction W. Zhang et al. https://doi.org/10.5194/acp-25-9005-2025
12. Optimization of vertical grid setting for air quality modelling in China considering the effect of aerosol-boundary layer interaction Z. Wang et al. https://doi.org/10.1016/j.atmosenv.2019.04.042
13. Is reducing new particle formation a plausible solution to mitigate particulate air pollution in Beijing and other Chinese megacities? M. Kulmala et al. https://doi.org/10.1039/D0FD00078G
14. Regulation of Synoptic Circulation in Regional PM2.5 Transport for Heavy Air Pollution: Study of 5‐year Observation Over Central China W. Hu et al. https://doi.org/10.1029/2021JD035937
15. Development of an adjoint model of GRAPES–CUACE and its application in tracking influential haze source areas in north China X. An et al. https://doi.org/10.5194/gmd-9-2153-2016
16. Impacts of Meteorological Conditions, Aerosol Radiative Feedbacks, and Emission Reduction Scenarios on the Coastal Haze Episodes in Southeastern China in December 2013 J. Zhan et al. https://doi.org/10.1175/JAMC-D-16-0229.1
17. Measurement report: aerosol hygroscopic properties extended to 600 nm in the urban environment C. Shen et al. https://doi.org/10.5194/acp-21-1375-2021
18. Validation of OMI, GOME-2A and GOME-2B tropospheric NO2, SO2 and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products Y. Wang et al. https://doi.org/10.5194/acp-17-5007-2017
19. The Impact of Local Environment and Neighboring Pollution on the Spatial Variation of Particulate Matter in Chinese Mainland C. Gao & M. Liu https://doi.org/10.3390/atmos14010186
20. 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
21. Estimating the effect of urbanization on extreme climate events in the Beijing-Tianjin-Hebei region, China N. Zhao et al. https://doi.org/10.1016/j.scitotenv.2019.06.374
22. 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
23. Atmospheric Boundary Layer—Free Troposphere Air Exchange in the North China Plain and its Impact on PM2.5 Pollution X. Jin et al. https://doi.org/10.1029/2021JD034641
24. A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars L. Lv et al. https://doi.org/10.1016/j.atmosenv.2020.117585
25. Evolution of south-north transport and urbanization effects on PM2.5 distribution with increased pollution levels in Beijing G. Chen et al. https://doi.org/10.1016/j.scs.2021.103060
26. Ground-based MAX-DOAS observations of tropospheric aerosols, NO2, SO2 and HCHO in Wuxi, China, from 2011 to 2014 Y. Wang et al. https://doi.org/10.5194/acp-17-2189-2017
27. Secondary aerosol formation and its linkage with synoptic conditions during winter haze pollution over eastern China T. Wang et al. https://doi.org/10.1016/j.scitotenv.2020.138888
28. Real-time numerical source apportionment of PM2.5 concentrations over the Yangtze River Delta region, China G. Zhou et al. https://doi.org/10.1016/j.atmosenv.2020.118104
29. Characterization of multiple atmospheric pollutants during haze and non-haze episodes in Beijing, China: Concentration, chemical components and transport flux variations H. Zhang et al. https://doi.org/10.1016/j.atmosenv.2020.118129
30. MAX-DOAS NO2 observations over Guangzhou, China; ground-based and satellite comparisons T. Drosoglou et al. https://doi.org/10.5194/amt-11-2239-2018
31. Multi-timescale analysis of air pollution spreaders in Chinese cities based on a transfer entropy network H. Hu et al. https://doi.org/10.3389/fenvs.2022.970267
32. Directional spatial spillover effects and driving factors of haze pollution in North China Plain H. Zhou et al. https://doi.org/10.1016/j.resconrec.2021.105475
33. Fuzzy AHP-TOPSIS method for ranking the solutions of environmental taxes implementation to overcome its barriers under fuzzy environment A. Khodamipour et al. https://doi.org/10.1108/JAAR-03-2021-0076
34. PM2.5 reductions in Chinese cities from 2013 to 2019 remain significant despite the inflating effects of meteorological conditions Q. Zhong et al. https://doi.org/10.1016/j.oneear.2021.02.003
35. Impact of crop field burning and mountains on heavy haze in the North China Plain: a case study X. Long et al. https://doi.org/10.5194/acp-16-9675-2016
36. A Sustainable Industry-Environment Model for the Identification of Urban Environmental Risk to Confront Air Pollution in Beijing, China G. Gao et al. https://doi.org/10.3390/su10040962
37. The evolution of an aerosol event observed from aircraft in Beijing: An insight into regional pollution transport P. Tian et al. https://doi.org/10.1016/j.atmosenv.2019.02.005
38. Local and regional contributions to fine particulate matter in the 18 cities of Sichuan Basin, southwestern China X. Qiao et al. https://doi.org/10.5194/acp-19-5791-2019
39. Concentrations of polycyclic aromatic hydrocarbons: Their potential health risks and sources at three non-urban sites in Japan W. Jadoon & H. Sakugawa https://doi.org/10.1080/10934529.2016.1191300
40. 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
41. Diagnostic analysis of wintertime PM2.5 pollution in the North China Plain: The impacts of regional transport and atmospheric boundary layer variation X. Jin et al. https://doi.org/10.1016/j.atmosenv.2020.117346
42. City-level air quality improvement in the Beijing-Tianjin-Hebei region from 2016/17 to 2017/18 heating seasons: Attributions and process analysis Y. Zhang et al. https://doi.org/10.1016/j.envpol.2021.116523
43. Impacts of Regional Transport on Particulate Matter Pollution in China: a Review of Methods and Results J. Sun et al. https://doi.org/10.1007/s40726-017-0065-5
44. Population-production-pollution nexus based air pollution management model for alleviating the atmospheric crisis in Beijing, China X. Zeng et al. https://doi.org/10.1016/j.jenvman.2017.04.022
45. Spatial Association Effect of Haze Pollution in Cheng-Yu Urban Agglomeration D. Zhang et al. https://doi.org/10.1038/s41598-020-66665-8
46. Analysis of the spatio-temporal network of air pollution in the Yangtze River Delta urban agglomeration, China C. Yang et al. https://doi.org/10.1371/journal.pone.0262444
47. Investigating the long-range transport of particulate matter in East Asia: Introducing a new Lagrangian diagnostic tool A. Pouyaei et al. https://doi.org/10.1016/j.atmosenv.2022.119096
48. Increasing importance of regional emission controls for further reduction of PM2.5 in Beijing L. Dong et al. https://doi.org/10.1016/j.uclim.2025.102437
49. Oscillation of Surface PM2.5 Concentration Resulting from an Alternation of Easterly and Southerly Winds in Beijing: Mechanisms and Implications Z. Sun et al. https://doi.org/10.1007/s13351-018-7064-3
50. Insights into multidimensional transport flux from vertical observation and numerical simulation in two cities in North China Z. Zhang et al. https://doi.org/10.1016/j.jes.2021.11.018
51. Provincial air pollution responsibility and environmental tax of China based on interregional linkage indicators Y. Lu et al. https://doi.org/10.1016/j.jclepro.2019.06.293
52. Characterization of submicron particles during biomass burning and coal combustion periods in Beijing, China J. Zhang et al. https://doi.org/10.1016/j.scitotenv.2016.04.015
53. Synoptic Weather Patterns and Atmospheric Circulation Types of PM2.5 Pollution Periods in the Beijing-Tianjin-Hebei Region S. Gu et al. https://doi.org/10.3390/atmos14060942
54. Routes and clustering features of PM2.5 spillover within the Jing-Jin-Ji region at multiple timescales identified using complex network-based methods H. Li et al. https://doi.org/10.1016/j.jclepro.2018.10.284
55. Importance of meteorology in air pollution events during the city lockdown for COVID-19 in Hubei Province, Central China L. Shen et al. https://doi.org/10.1016/j.scitotenv.2020.142227
56. Haze Pollution in the Unstable Atmospheric Boundary Layer Over the West Bank of Taiwan Strait Induced by Regional Transport of PM2.5 Y. Jiang et al. https://doi.org/10.1029/2022EA002505
57. Environmental impacts of aerosol radiative effect and urbanization and their interactions over the Beijing-Tianjin-Hebei City cluster Z. Wang et al. https://doi.org/10.1016/j.uclim.2024.102020
58. 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
59. Drivers for the poor air quality conditions in North China Plain during the COVID-19 outbreak M. Li et al. https://doi.org/10.1016/j.atmosenv.2020.118103
60. Trans-boundary aerosol transport during a winter haze episode in China revealed by ground-based Lidar and CALIPSO satellite K. Qin et al. https://doi.org/10.1016/j.atmosenv.2016.06.042
61. Source apportionment of fine particulate matter in China in 2013 using a source-oriented chemical transport model Z. Shi et al. https://doi.org/10.1016/j.scitotenv.2017.06.019
62. Insights into the temporal and spatial characteristics of PM2.5 transport flux across the district, city and region in the North China Plain H. Zhang et al. https://doi.org/10.1016/j.atmosenv.2019.117010
63. Interprovincial Reliance for Improving Air Quality in China: A Case Study on Black Carbon Aerosol Y. Li et al. https://doi.org/10.1021/acs.est.5b05989
64. Downdraft influences on the differences of PM2.5 concentration: insights from a mega haze evolution in the winter of northern China Z. Chen et al. https://doi.org/10.1088/1748-9326/ad1229
65. Impacts of SO2 taxations and renewable energy development on CO2, NOx and SO2 emissions in Jing-Jin-Ji region Y. Xie et al. https://doi.org/10.1016/j.jclepro.2017.10.057
66. Verification of anthropogenic VOC emission inventory through ambient measurements and satellite retrievals J. Li et al. https://doi.org/10.5194/acp-19-5905-2019
67. An optimization model for regional air pollutants mitigation based on the economic structure adjustment and multiple measures: A case study in Urumqi city, China X. Sun et al. https://doi.org/10.1016/j.jenvman.2016.07.041
68. Changes in the Distribution Pattern of PM2.5 Pollution over Central China L. Shen et al. https://doi.org/10.3390/rs13234855
69. Characteristics and Source Apportionment of PM2.5 and O3 during Winter of 2013 and 2018 in Beijing Y. Zhong et al. https://doi.org/10.3390/atmos11121324
70. Impact of inter-annual meteorological variation from 2001 to 2015 on the contribution of regional transport to PM2.5 in Beijing, China D. Chen et al. https://doi.org/10.1016/j.atmosenv.2021.118545
71. Secondary organic aerosol enhanced by increasing atmospheric oxidizing capacity in Beijing–Tianjin–Hebei (BTH), China T. Feng et al. https://doi.org/10.5194/acp-19-7429-2019
72. Assessing the formation and evolution mechanisms of severe haze pollution in the Beijing–Tianjin–Hebei region using process analysis L. Chen et al. https://doi.org/10.5194/acp-19-10845-2019
73. PM2.5-bound heavy metals from the major cities in China: Spatiotemporal distribution, fuzzy exposure assessment and health risk management F. Li et al. https://doi.org/10.1016/j.jclepro.2020.124967
74. Evaluation of the effect of regional joint-control measures on changing photochemical transformation: a comprehensive study of the optimization scenario analysis L. Li et al. https://doi.org/10.5194/acp-19-9037-2019
75. Regional transport patterns for heavy PM2.5 pollution driven by strong cold airflows in Twain-Hu Basin, Central China L. Shen et al. https://doi.org/10.1016/j.atmosenv.2021.118847
76. Contributions to the explosive growth of PM2.5 mass due to aerosol–radiation feedback and decrease in turbulent diffusion during a red alert heavy haze in Beijing–Tianjin–Hebei, China H. Wang et al. https://doi.org/10.5194/acp-18-17717-2018
77. Importance of regional PM2.5 transport and precipitation washout in heavy air pollution in the Twain-Hu Basin over Central China: Observational analysis and WRF-Chem simulation W. Hu et al. https://doi.org/10.1016/j.scitotenv.2020.143710
78. The impacts of the atmospheric boundary layer on regional haze in North China Q. Li et al. https://doi.org/10.1038/s41612-021-00165-y
79. The Different Impacts of Emissions and Meteorology on PM2.5 Changes in Various Regions in China: A Case Study W. Zhang et al. https://doi.org/10.3390/atmos13020222
80. Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM2.5 over China C. Yu et al. https://doi.org/10.5194/acp-20-7217-2020
81. Vertical characterization and potential sources of aerosols in different seasons over the Yangtze River Delta using ground-based MAX-DOAS J. Ou et al. https://doi.org/10.1016/j.envpol.2021.116898
82. Formation and Evolution Mechanisms for Two Extreme Haze Episodes in the Yangtze River Delta Region of China During Winter 2016 M. Li et al. https://doi.org/10.1029/2019JD030535
83. Insights into particulate matter pollution in the North China Plain during wintertime: local contribution or regional transport? J. Wu et al. https://doi.org/10.5194/acp-21-2229-2021
84. Regional PM2.5 pollution confined by atmospheric internal boundaries in the North China Plain: boundary layer structures and numerical simulation X. Jin et al. https://doi.org/10.5194/acp-22-11409-2022
85. PM2.5 Concentration Gap Reduction between Typical Urban and Nonurban China from 2000 to 2023 L. Guo et al. https://doi.org/10.1021/acsestair.4c00208
86. Spatial correlation effect of haze pollution in the Yangtze River Economic Belt, China Z. Fang et al. https://doi.org/10.1371/journal.pone.0311574
87. Investigation of the atmospheric boundary layer during an unexpected summertime persistent severe haze pollution period in Beijing T. Xu et al. https://doi.org/10.1007/s00703-019-00673-w
88. A Machine Learning Approach for Air-Quality Forecast by Integrating GNSS Radio Occultation Observation and Weather Modeling W. Li et al. https://doi.org/10.3390/atmos14010058
89. Application of Turbulent Diffusion Term of Aerosols in Mesoscale Model W. Jia et al. https://doi.org/10.1029/2021GL093199
90. Impact of Inter-Annual Variation in Meteorology from 2010 to 2019 on the Inter-City Transport of PM2.5 in the Beijing–Tianjin–Hebei Region D. Chen et al. https://doi.org/10.3390/su14106210
91. Comparison of Two Air Pollution Episodes over Northeast China in Winter 2016/17 Using Ground-Based Lidar Y. Ma et al. https://doi.org/10.1007/s13351-018-7047-4