198 citations as recorded by crossref.

1. 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
2. Spatiotemporal Variability of Air Stagnation and its Relation to Summertime Ozone in the Yangtze River Delta of China M. Xie et al. https://doi.org/10.3389/fenvs.2021.783524
3. Comparative analysis of nitrate evolution patterns during pollution episodes: Method development and results from Tianjin, China Y. Li et al. https://doi.org/10.1016/j.scitotenv.2022.159436
4. Insights into a historic severe haze event in Shanghai: synoptic situation, boundary layer and pollutants C. Leng et al. https://doi.org/10.5194/acp-16-9221-2016
5. Spatial and Temporal Variation of Criteria Air Pollutants over Rwanda (2019-2023) and the Influence of Meteorological Factors D. Akimana et al. https://doi.org/10.4236/acs.2025.152021
6. Size-resolved and bulk activation properties of aerosols in the North China Plain Z. Deng et al. https://doi.org/10.5194/acp-11-3835-2011
7. Ozone production in summer in the megacities of Tianjin and Shanghai, China: a comparative study L. Ran et al. https://doi.org/10.5194/acp-12-7531-2012
8. 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
9. Spatio-temporal characteristics of PM2.5 and O3 synergic pollutions and influence factors in the Yangtze River Delta Q. Zhu et al. https://doi.org/10.3389/fenvs.2022.1104013
10. Correlation and scaling behaviors of fine particulate matter (PM2.5) concentration in China Y. Zhang et al. https://doi.org/10.1209/0295-5075/122/58003
11. Analysis of a winter regional haze event and its formation mechanism in the North China Plain X. Zhao et al. https://doi.org/10.5194/acp-13-5685-2013
12. Clean air for some: Unintended spillover effects of regional air pollution policies D. Fang et al. https://doi.org/10.1126/sciadv.aav4707
13. Influence of circulation types on temporal and spatial variations of ozone in Beijing X. Zhu et al. https://doi.org/10.1016/j.jes.2022.06.033
14. Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital cities based on in situ air quality monitoring data from China National Environmental Monitoring Center S. Zhao et al. https://doi.org/10.1016/j.envint.2015.11.003
15. Rapid narrowing of the urban–suburban gap in air pollutant concentrations in Beijing from 2014 to 2019 X. Li et al. https://doi.org/10.1016/j.envpol.2022.119146
16. Typical polar organic aerosol tracers in PM2.5 over the North China Plain: Spatial distribution, seasonal variations, contribution and sources R. Shen et al. https://doi.org/10.1016/j.chemosphere.2018.06.133
17. A review of current knowledge concerning PM2. 5 chemical composition, aerosol optical properties and their relationships across China J. Tao et al. https://doi.org/10.5194/acp-17-9485-2017
18. Spatial and meteorological relevance in NO2 estimations: a case study in the Bay of Algeciras (Spain) J. González-Enrique et al. https://doi.org/10.1007/s00477-018-01644-0
19. Contributions of various driving factors to air pollution events: Interpretability analysis from Machine learning perspective T. Li et al. https://doi.org/10.1016/j.envint.2023.107861
20. Surface gas pollutants in Lhasa, a highland city of Tibet – current levels and pollution implications L. Ran et al. https://doi.org/10.5194/acp-14-10721-2014
21. “APEC Blue” association with emission control and meteorological conditions detected by multi-scale statistics P. Wang & X. Dai https://doi.org/10.1016/j.atmosres.2016.05.001
22. The association between ambient air pollution and birth defects in five major ethnic groups in Liuzhou, China X. Huang et al. https://doi.org/10.1186/s12887-021-02687-z
23. An unusual high ozone event over the North and Northeast China during the record-breaking summer in 2018 C. Lu et al. https://doi.org/10.1016/j.jes.2020.11.030
24. Influence of transboundary air pollution and meteorology on air quality in three major cities of Anhui Province, China I. Sulaymon et al. https://doi.org/10.1016/j.jclepro.2021.129641
25. Assessing air quality variations in relation to vegetation patterns and meteorological conditions using remote sensing S. Ngebe et al. https://doi.org/10.3389/fenvs.2025.1716354
26. Influence of haze pollution on water-soluble chemical species in PM2.5 and size-resolved particles at an urban site during fall G. Yu et al. https://doi.org/10.1016/j.jes.2016.10.018
27. Particulate and gaseous pollutants in Tehran, Iran during 2015-2021: Factors governing their variability M. Ali-Taleshi et al. https://doi.org/10.1016/j.scs.2022.104183
28. Source contributions and drivers of physiological and psychophysical cobenefits from major air pollution control actions in North China W. Meng et al. https://doi.org/10.1021/acs.est.1c07171
29. A framework for investigating the air quality variation characteristics based on the monitoring data: Case study for Beijing during 2013–2016 J. Cui et al. https://doi.org/10.1016/j.jes.2019.01.009
30. Seasonal and temporal variations of ambient aerosols in a deciduous broadleaf forest from northern Japan: Contributions of biomass burning and biological particles M. Haque et al. https://doi.org/10.1016/j.chemosphere.2021.130540
31. Nonlinear and lagged meteorological effects on daily levels of ambient PM2.5 and O3: Evidence from 284 Chinese cities Z. Yang et al. https://doi.org/10.1016/j.jclepro.2020.123931
32. Direct aqueous photochemistry of methylglyoxal and its effect on sulfate formation J. Tan et al. https://doi.org/10.1016/j.scitotenv.2024.171519
33. Observational studies of the meteorological characteristics associated with poor air quality over the Pearl River Delta in China M. Wu et al. https://doi.org/10.5194/acp-13-10755-2013
34. Parsimonious estimation of hourly surface ozone concentration across China during 2015–2020 W. Zhang et al. https://doi.org/10.1038/s41597-024-03302-3
35. Comparison of aerosol and cloud condensation nuclei between wet and dry seasons in Guangzhou, southern China J. Duan et al. https://doi.org/10.1016/j.scitotenv.2017.06.246
36. Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations J. Wei et al. https://doi.org/10.5194/acp-23-1511-2023
37. Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China K. Li et al. https://doi.org/10.1073/pnas.1812168116
38. Declines and peaks in NO2 pollution during the multiple waves of the COVID-19 pandemic in the New York metropolitan area M. Tzortziou et al. https://doi.org/10.5194/acp-22-2399-2022
39. Chemical characterization and source identification of PM2.5 at multiple sites in the Beijing–Tianjin–Hebei region, China X. Huang et al. https://doi.org/10.5194/acp-17-12941-2017
40. 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
41. Analysis of Driving Factors of Ozone in the Urban Area of Meizhou Based on Machine Learning L. LUO et al. https://doi.org/10.3724/EE.1672-9250.2026.54.024
42. Impact of synoptic weather patterns and inter-decadal climate variability on air quality in the North China Plain during 1980–2013 Y. Zhang et al. https://doi.org/10.1016/j.atmosenv.2015.05.063
43. The contribution of residential coal combustion to atmospheric PM2. 5 in northern China during winter P. Liu et al. https://doi.org/10.5194/acp-17-11503-2017
44. A Hybrid Regression–Kriging–Machine Learning Framework for Imputing Missing TROPOMI NO2 Data over Taiwan A. Valerio et al. https://doi.org/10.3390/rs17122084
45. Unusual inland intrusion of nocturnal sea breeze in the North China plain during summer X. Hu et al. https://doi.org/10.1007/s00704-024-05131-1
46. Assessing on toxic potency of PM2.5-bound polycyclic aromatic hydrocarbons at a national atmospheric background site in North China X. Wang et al. https://doi.org/10.1016/j.scitotenv.2017.08.208
47. Meteorological mechanism for a large-scale persistent severe ozone pollution event over eastern China in 2017 J. Mao et al. https://doi.org/10.1016/j.jes.2020.02.019
48. Analysis of observed surface ozone in the dry season over Eastern Thailand during 1997–2012 N. Assareh et al. https://doi.org/10.1016/j.atmosres.2016.03.009
49. Seasonal and Spatial Variation of Particulate Aerosols and Carbonaceous Species in PM2.5 in the Periphery of Chandigarh, India S. Garg et al. https://doi.org/10.1007/s12647-018-0280-6
50. Modeling study of a severe aerosol pollution event in December 2013 over Shanghai China: An application of chemical data assimilation J. Wu et al. https://doi.org/10.1016/j.partic.2014.10.008
51. Quantification of different processes in the rapid formation of a regional haze episode in north China using an integrated analysis tool coupling source apportionment with process analysis T. Wang et al. https://doi.org/10.1016/j.apr.2020.10.018
52. A marked interannual variability of haze linked to particulate sources and meteorological conditions in Tehran (Iran), 1990–2020 Z. Pashaie et al. https://doi.org/10.1016/j.uclim.2023.101682
53. The Effects of Planetary Boundary Layer Features on Air Pollution Based on ERA5 Data in East China X. Deng et al. https://doi.org/10.3390/atmos14081273
54. Winter monsoon variability and its impact on aerosol concentrations in East Asia J. Jeong & R. Park https://doi.org/10.1016/j.envpol.2016.11.075
55. Impact of aerosol hygroscopic growth on retrieving aerosol extinction coefficient profiles from elastic-backscatter lidar signals G. Zhao et al. https://doi.org/10.5194/acp-17-12133-2017
56. 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
57. Spatial-temporal variations in surface ozone in Northern China as observed during 2009–2010 and possible implications for future air quality control strategies G. Tang et al. https://doi.org/10.5194/acp-12-2757-2012
58. Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major Chinese cities J. He et al. https://doi.org/10.1016/j.envpol.2017.01.050
59. Cleaner skies, greener flights: empirical evidence from China C. Wang et al. https://doi.org/10.1016/j.tra.2025.104853
60. Opposite impact of emission reduction during the COVID-19 lockdown period on the surface concentrations of PM2.5 and O3 in Wuhan, China H. Yin et al. https://doi.org/10.1016/j.envpol.2021.117899
61. Transport Pathways of Nitrate Formed from Nocturnal N2O5 Hydrolysis Aloft to the Ground Level in Winter North China Plain X. Zhao et al. https://doi.org/10.1021/acs.est.3c00086
62. Analyzing the Characteristics of Cloud Condensation Nuclei (CCN) in Hebei, China Using Multi-Year Observation and Reanalysis Data H. Wang et al. https://doi.org/10.3390/atmos13030468
63. Estimating the spatial distribution of environmental suitability for female lung cancer mortality in China based on a novel statistical method X. Han et al. https://doi.org/10.1007/s11356-019-04444-3
64. Lung deposited surface area in Leicester urban background site/UK: Sources and contribution of new particle formation S. Hama et al. https://doi.org/10.1016/j.atmosenv.2016.12.002
65. Markedly different impacts of primary emissions and secondary aerosol formation on aerosol mixing states revealed by simultaneous measurements of CCNC, H(/V)TDMA, and SP2 J. Tao et al. https://doi.org/10.5194/acp-24-9131-2024
66. A study of aerosol liquid water content based on hygroscopicity measurements at high relative humidity in the North China Plain Y. Bian et al. https://doi.org/10.5194/acp-14-6417-2014
67. Variation of CCN activity during new particle formation events in the North China Plain N. Ma et al. https://doi.org/10.5194/acp-16-8593-2016
68. Urban heat island circulations over the Beijing-Tianjin region under calm and fair conditions Q. Wang et al. https://doi.org/10.1016/j.buildenv.2020.107063
69. Efficient Nitrate Formation in Fog Events Implicates Fog Interstitial Aerosols as Significant Drivers of Atmospheric Chemistry W. Xu et al. https://doi.org/10.1021/acs.est.4c09078
70. Air quality in the middle and lower reaches of the Yangtze River channel: a cruise campaign Z. Li et al. https://doi.org/10.5194/acp-18-14445-2018
71. A vertical sounding of severe haze process in Guangzhou area T. Deng et al. https://doi.org/10.1007/s11430-014-4928-y
72. Thirteen years of observations on primary sugars and sugar alcohols over remote Chichijima Island in the western North Pacific S. Verma et al. https://doi.org/10.5194/acp-18-81-2018
73. Impacts of synoptic condition and planetary boundary layer structure on the trans-boundary aerosol transport from Beijing-Tianjin-Hebei region to northeast China Y. Miao et al. https://doi.org/10.1016/j.atmosenv.2018.03.005
74. Analysis of the Characteristics of Ozone Pollution in the North China Plain from 2016 to 2020 X. Wang et al. https://doi.org/10.3390/atmos13050715
75. Factors affecting relative humidity and its relationship with the long-term variation of fog-haze events in the Yangtze River Delta W. Liu et al. https://doi.org/10.1016/j.atmosenv.2018.09.015
76. A one-year, on-line, multi-site observational study on water-soluble inorganic ions in PM 2.5 over the Pearl River Delta region, China J. Liu et al. https://doi.org/10.1016/j.scitotenv.2017.06.039
77. Sub-synoptic evolution of PM2.5 pollution patterns in the Huaihe River Basin, China X. Hu et al. https://doi.org/10.1016/j.apr.2023.101679
78. Characteristics of urban boundary layer in heavy haze process based on Beijing 325m tower data Y. SHI et al. https://doi.org/10.1080/16742834.2019.1547084
79. Comparative Analysis of Long-Term Variation Characteristics of SO2, NO2, and O3 in the Ecological and Economic Zones of the Western Sichuan Plateau, Southwest China P. Zhao et al. https://doi.org/10.3390/ijerph16183265
80. Characteristics of ozone and its precursors in Northern China: A comparative study of three sites Y. Wang et al. https://doi.org/10.1016/j.atmosres.2013.04.005
81. Spatio-temporal variability of particulate matter in the key part of Gansu Province, Western China Q. Guan et al. https://doi.org/10.1016/j.envpol.2017.06.045
82. Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Models D. Liang et al. https://doi.org/10.1080/01621459.2020.1764363
83. Divergent changes in aerosol optical hygroscopicity and new particle formation during a heatwave of summer 2022 Y. Hao et al. https://doi.org/10.5194/acp-25-12811-2025
84. Long-distance mobile MAX-DOAS observations of NO2 and SO2 over the North China Plain and identification of regional transport and power plant emissions W. Tan et al. https://doi.org/10.1016/j.atmosres.2020.105037
85. Synoptic circulation factors associated with wintertime high-PM2.5 concentrations in seoul, Republic of Korea: Their interpretations and applications H. Oh et al. https://doi.org/10.1016/j.atmosenv.2024.120444
86. Spatial and temporal analyses of air pollutants and meteorological driving forces in Beijing–Tianjin–Hebei region, China Z. Hu et al. https://doi.org/10.1007/s12665-018-7705-y
87. Surface Energy Budget Observed for Winter Wheat in the North China Plain During a Fog–Haze Event C. Liu et al. https://doi.org/10.1007/s10546-018-0407-x
88. Spatial variation of VOCs and inorganic pollutants in a university building S. Yurdakul et al. https://doi.org/10.1016/j.apr.2016.07.001
89. Investigation of aerosol optical properties and pollutant transmission mechanisms in Qinhuangdao, North China – A case study during a pollution event S. Zhu et al. https://doi.org/10.1016/j.apr.2022.101440
90. Investigation of Ground-Level Ozone and High-Pollution Episodes in a Megacity of Eastern China H. Zhao et al. https://doi.org/10.1371/journal.pone.0131878
91. 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
92. Combined effect of boundary layer recirculation factor and stable energy on local air quality in the Pearl River Delta over southern China H. Li et al. https://doi.org/10.1080/10962247.2018.1439125
93. Variations of surface O3 in August at a rural site near Shanghai: influences from the West Pacific subtropical high and anthropogenic emissions J. He et al. https://doi.org/10.1007/s11356-012-0970-5
94. Review of receptor-based source apportionment research of fine particulate matter and its challenges in China Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2017.02.071
95. Distribution and urban–suburban differences in ground-level ozone and its precursors over Shenyang, China N. Liu et al. https://doi.org/10.1007/s00703-018-0598-1
96. Atmospheric levels, variations, sources and health risk of PM2.5-bound polycyclic aromatic hydrocarbons during winter over the North China Plain R. Shen et al. https://doi.org/10.1016/j.scitotenv.2018.11.220
97. Mixing state of atmospheric particles over the North China Plain S. Zhang et al. https://doi.org/10.1016/j.atmosenv.2015.10.053
98. Relationships between meteorological parameters and criteria air pollutants in three megacities in China H. Zhang et al. https://doi.org/10.1016/j.envres.2015.04.004
99. Spatiotemporal Variations and Regional Transport of Air Pollutants in Two Urban Agglomerations in Northeast China Plain X. Li et al. https://doi.org/10.1007/s11769-019-1081-8
100. Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: potentially overlooked CO hotspots in the Tibetan Plateau D. Liu et al. https://doi.org/10.5194/acp-19-12413-2019
101. Spatiotemporal prediction of continuous daily PM2.5 concentrations across China using a spatially explicit machine learning algorithm Y. Zhan et al. https://doi.org/10.1016/j.atmosenv.2017.02.023
102. Seasonal variations in surface ozone as influenced by Asian summer monsoon and biomass burning in agricultural fields of the northern Yangtze River Delta H. Tang et al. https://doi.org/10.1016/j.atmosres.2012.10.030
103. Characterizing temporal trends and meteorological influences on ozone pollution in Shenyang region (2018–2021) S. Wu et al. https://doi.org/10.1007/s11869-025-01698-4
104. Meteorological conditions during a severe, prolonged regional heavy air pollution episode in eastern China from December 2016 to January 2017 X. Deng et al. https://doi.org/10.1007/s00704-018-2426-4
105. An Ensemble Machine-Learning Model To Predict Historical PM2.5Concentrations in China from Satellite Data Q. Xiao et al. https://doi.org/10.1021/acs.est.8b02917
106. Human activities and urban air pollution in Chinese mega city: An insight of ozone weekend effect in Beijing X. Zhao et al. https://doi.org/10.1016/j.pce.2018.11.005
107. Aerosol Promotes Peroxyacetyl Nitrate Formation During Winter in the North China Plain W. Xu et al. https://doi.org/10.1021/acs.est.0c08157
108. Impact of the Loess Plateau on the atmospheric boundary layer structure and air quality in the North China Plain: A case study X. Hu et al. https://doi.org/10.1016/j.scitotenv.2014.08.053
109. Evolution of atmospheric boundary layer structure and its relationship with air quality in Wuhan, China Y. Mbululo et al. https://doi.org/10.1007/s12517-017-3257-9
110. Understanding ozone‐meteorology correlations: A role for dry deposition S. Kavassalis & J. Murphy https://doi.org/10.1002/2016GL071791
111. Spatio-temporal variations of PM2.5 and O3 in China during 2013–2021: Impact factor analysis X. Liu et al. https://doi.org/10.1016/j.envpol.2023.122189
112. The impact of aerosol hygroscopic growth on the single-scattering albedo and its application on the NO2 photolysis rate coefficient J. Tao et al. https://doi.org/10.5194/acp-14-12055-2014
113. Estimating ground-level high-resolution ozone concentration across China using a stacked machine-learning method Z. Li et al. https://doi.org/10.1016/j.apr.2024.102114
114. Impact of atmospheric circulations on aerosol distributions in autumn over eastern China: observational evidence X. Zheng et al. https://doi.org/10.5194/acp-15-12115-2015
115. 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
116. The interaction of atmospheric boundary layer and PM pollution in Mongolian Plateau: Implication for the threshold control strategy S. Yang et al. https://doi.org/10.1016/j.atmosres.2025.107937
117. Diurnal variations of aerosol optical properties in the North China Plain and their influences on the estimates of direct aerosol radiative effect Y. Kuang et al. https://doi.org/10.5194/acp-15-5761-2015
118. Characteristics of marine shipping emissions at berth: profiles for particulate matter and volatile organic compounds Q. Xiao et al. https://doi.org/10.5194/acp-18-9527-2018
119. The distribution and trends of fog and haze in the North China Plain over the past 30 years G. Fu et al. https://doi.org/10.5194/acp-14-11949-2014
120. Effects of Weather and Anthropogenic Precursors on Ground-Level Ozone Concentrations in Malaysian Cities S. Baidrulhisham et al. https://doi.org/10.3390/atmos13111780
121. Spatial and seasonal variations and trends in carbon monoxide over China during 2013–2022 Y. Xie et al. https://doi.org/10.1016/j.atmosenv.2025.121163
122. 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
123. Variation of air pollutants during COVID-19 lockdown phases in the mega-city of Lahore (Pakistan); Insights into meteorological parameters and atmospheric chemistry F. Qayyum et al. https://doi.org/10.1007/s11600-023-01208-z
124. The interplays among meteorology, source, and chemistry in high particulate matter pollution episodes in urban Shanghai, China L. Zeng et al. https://doi.org/10.1016/j.scitotenv.2022.158347
125. Measurement report: Diurnal and temporal variations of sugar compounds in suburban aerosols from the northern vicinity of Beijing, China – an influence of biogenic and anthropogenic sources S. Verma et al. https://doi.org/10.5194/acp-21-4959-2021
126. 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
127. Impact of meteorological conditions on a nine-day particulate matter pollution event observed in December 2013, Shanghai, China J. Xu et al. https://doi.org/10.1016/j.partic.2014.09.001
128. Opposite trends of cold surges over South China Sea and Philippines Sea and their different impacts on PM2.5 in eastern China S. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.168454
129. 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
130. Aerosol hygroscopicity derived from size-segregated chemical composition and its parameterization in the North China Plain H. Liu et al. https://doi.org/10.5194/acp-14-2525-2014
131. An examination of parameterizations for the CCN number concentration based on in situ measurements of aerosol activation properties in the North China Plain Z. Deng et al. https://doi.org/10.5194/acp-13-6227-2013
132. Regional pollution and its formation mechanism over North China Plain: A case study with ceilometer observations and model simulations X. Zhu et al. https://doi.org/10.1002/2016JD025730
133. Spaceborne tropospheric nitrogen dioxide (NO2) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers H. Yin et al. https://doi.org/10.5194/acp-22-4167-2022
134. Impacts of the near-surface urban boundary layer structure on PM2.5 concentrations in Beijing during winter L. Wang et al. https://doi.org/10.1016/j.scitotenv.2019.03.097
135. A comparison of haze pollution variability in China using haze indices based on observations L. Chang et al. https://doi.org/10.1016/j.scitotenv.2020.136929
136. Formation mechanisms of atmospheric nitrate and sulfate during the winter haze pollution periods in Beijing: gas-phase, heterogeneous and aqueous-phase chemistry P. Liu et al. https://doi.org/10.5194/acp-20-4153-2020
137. Typical winter haze pollution in Zibo, an industrial city in China: Characteristics, secondary formation, and regional contribution H. Li et al. https://doi.org/10.1016/j.envpol.2017.05.081
138. Mechanism of Spatiotemporal Air Quality Response to Meteorological Parameters: A National-Scale Analysis in China Z. Qiao et al. https://doi.org/10.3390/su11143957
139. The Effect of Meteorological Elements on Continuing Heavy Air Pollution: A Case Study in the Chengdu Area during the 2014 Spring Festival S. Zeng & Y. Zhang https://doi.org/10.3390/atmos8040071
140. Chemical characteristics of inorganic ammonium salts in PM2.5 in the atmosphere of Beijing (China) A. Ianniello et al. https://doi.org/10.5194/acp-11-10803-2011
141. The Context-Dependent Effect of Urban Form on Air Pollution: A Panel Data Analysis Z. Liang et al. https://doi.org/10.3390/rs12111793
142. Formation and source apportionment of ozone in Nanjing affected by tropical cyclones with different tracks Y. Liu et al. https://doi.org/10.1016/j.atmosres.2025.108707
143. Vertical profiles of black carbon measured by a micro-aethalometer in summer in the North China Plain L. Ran et al. https://doi.org/10.5194/acp-16-10441-2016
144. Analyzing the Contribution of Human Mobility to Changes in Air Pollutants: Insights from the COVID-19 Lockdown in Wuhan J. Wu et al. https://doi.org/10.3390/ijgi10120836
145. Case study of spring haze in Beijing: Characteristics, formation processes, secondary transition, and regional transportation H. Li et al. https://doi.org/10.1016/j.envpol.2018.07.001
146. SO2 noontime-peak phenomenon in the North China Plain W. Xu et al. https://doi.org/10.5194/acp-14-7757-2014
147. Femtosecond filamentation induced particles and their cloud condensation nuclei activity L. Ran et al. https://doi.org/10.1016/j.atmosenv.2019.03.019
148. Surface Trace Gases at a Rural Site between the Megacities of Beijing and Tianjin R. Liang et al. https://doi.org/10.1080/16742834.2014.11447166
149. Impact of aerosol hygroscopic growth on the direct aerosol radiative effect in summer on North China Plain Y. Kuang et al. https://doi.org/10.1016/j.atmosenv.2016.10.013
150. Effect of relative humidity on O3 and NO2 oxidation of SO2 on α-Al2O3 particles W. Liu et al. https://doi.org/10.1016/j.atmosenv.2017.08.028
151. Multi-phase PAH transport across the land-sea continuum: Mechanistic drivers of source-sink dynamics and socioeconomic modulation Y. Ye et al. https://doi.org/10.1016/j.marpolbul.2026.119753
152. Ozone weekend effects in the Beijing–Tianjin–Hebei metropolitan area, China Y. Wang et al. https://doi.org/10.5194/acp-14-2419-2014
153. Pollution plumes observed by aircraft over North China during the IPAC-NC field campaign J. Ma et al. https://doi.org/10.1007/s11434-013-5978-9
154. Aerosol hygroscopicity parameter derived from the light scattering enhancement factor measurements in the North China Plain J. Chen et al. https://doi.org/10.5194/acp-14-8105-2014
155. Urban air quality, meteorology and traffic linkages: Evidence from a sixteen-day particulate matter pollution event in December 2015, Beijing D. Hu et al. https://doi.org/10.1016/j.jes.2017.02.005
156. Impacts of meteorology and emissions on summertime surface ozone increases over central eastern China between 2003 and 2015 L. Sun et al. https://doi.org/10.5194/acp-19-1455-2019
157. Development of a coupled aerosol lidar data quality assurance and control scheme with Monte Carlo analysis and bilateral filtering H. Wang et al. https://doi.org/10.1016/j.scitotenv.2020.138844
158. Development and validation of a CCD-laser aerosol detective system for measuring the ambient aerosol phase function Y. Bian et al. https://doi.org/10.5194/amt-10-2313-2017
159. Costs and Benefits of Household Fuel Policies and Alternative Strategies in the Jing-Jin-Ji Region W. Meng et al. https://doi.org/10.1021/acs.est.3c01622
160. Regional meteorological patterns for heavy pollution events in Beijing T. You et al. https://doi.org/10.1007/s13351-017-6143-1
161. Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. https://doi.org/10.1029/2023JD039310
162. Planetary boundary layer climatological features over North China Plain: Derived from intensive experiment data Y. Yan et al. https://doi.org/10.1002/joc.7990
163. Method to retrieve cloud condensation nuclei number concentrations using lidar measurements W. Tan et al. https://doi.org/10.5194/amt-12-3825-2019
164. Mixing-layer depth-based backwards trajectory analysis of the sources of high O3 concentrations at the Wutaishan station, North China S. Yan et al. https://doi.org/10.1016/j.apr.2023.101652
165. A new method to determine the mixing state of light absorbing carbonaceous using the measured aerosol optical properties and number size distributions N. Ma et al. https://doi.org/10.5194/acp-12-2381-2012
166. Black carbon and wavelength-dependent aerosol absorption in the North China Plain based on two-year aethalometer measurements L. Ran et al. https://doi.org/10.1016/j.atmosenv.2016.07.014
167. Spatial and seasonal variations of gaseous and particulate matter pollutants in 31 provincial capital cities, China D. Yin et al. https://doi.org/10.1007/s11869-016-0432-1
168. Spatiotemporal variations and trends of air quality in major cities in Guizhou F. Lu et al. https://doi.org/10.3389/fenvs.2023.1254390
169. Vertical characteristics of black carbon physical properties over Beijing region in warm and cold seasons D. Zhao et al. https://doi.org/10.1016/j.atmosenv.2019.06.007
170. The possible emission sources and atmospheric photochemical processes of air pollutants in Tehran, Iran: the role of micrometeorological factors on the air quality M. Ali-Taleshi et al. https://doi.org/10.1007/s11869-024-01499-1
171. A parameterization of low visibilities for hazy days in the North China Plain J. Chen et al. https://doi.org/10.5194/acp-12-4935-2012
172. The Seesaw Pattern of PM2.5 Interannual Anomalies Between Beijing‐Tianjin‐Hebei and Yangtze River Delta Across Eastern China in Winter X. Liu et al. https://doi.org/10.1029/2021GL095878
173. The meteorological modulation on PM2.5 interannual oscillation during 2013 to 2015 in Shanghai, China J. Xu et al. https://doi.org/10.1016/j.scitotenv.2016.08.024
174. A closure study of cloud condensation nuclei in the North China Plain using droplet kinetic condensational growth model F. Yang et al. https://doi.org/10.5194/acp-12-5399-2012
175. PM2.5 concentration distribution patterns and influencing meteorological factors in the central and eastern China during 1980–2018 J. Ma et al. https://doi.org/10.1016/j.jclepro.2021.127565
176. Spatiotemporal variations in meteorological influences on ambient ozone in China: A machine learning approach T. Li et al. https://doi.org/10.1016/j.apr.2023.101720
177. Study of continuous air pollution in winter over Wuhan based on ground-based and satellite observations B. Liu et al. https://doi.org/10.1016/j.apr.2017.08.004
178. Isoprene Emissions Response to Drought and the Impacts on Ozone and SOA in China P. Wang et al. https://doi.org/10.1029/2020JD033263
179. Episode-Based Evolution Pattern Analysis of Haze Pollution: Method Development and Results from Beijing, China G. Zheng et al. https://doi.org/10.1021/acs.est.5b05593
180. Analysis of surface and vertical measurements of O3 and its chemical production in the NCP region, China S. Han et al. https://doi.org/10.1016/j.atmosenv.2020.117759
181. VOC reactivity and its effect on ozone production during the HaChi summer campaign L. Ran et al. https://doi.org/10.5194/acp-11-4657-2011
182. Characteristics and recent trends of sulfur dioxide at urban, rural, and background sites in North China: Effectiveness of control measures W. Lin et al. https://doi.org/10.1016/S1001-0742(11)60727-4
183. Influence of mixing layer height on air pollutant concentrations in an urban street canyon P. Wagner & K. Schäfer https://doi.org/10.1016/j.uclim.2015.11.001
184. Emission of volatile organic compounds from domestic coal stove with the actual alternation of flaming and smoldering combustion processes C. Liu et al. https://doi.org/10.1016/j.envpol.2016.11.089
185. Comparison of water-soluble inorganic ions and trace metals in PM2.5 between online and offline measurements in Beijing during winter B. Zhang et al. https://doi.org/10.1016/j.apr.2019.07.007
186. Long-term characteristics of criteria air pollutants in megacities of Harbin-Changchun megalopolis, Northeast China: Spatiotemporal variations, source analysis, and meteorological effects B. Li et al. https://doi.org/10.1016/j.envpol.2020.115441
187. Dome effect of black carbon and its key influencing factors: a one-dimensional modelling study Z. Wang et al. https://doi.org/10.5194/acp-18-2821-2018
188. Tropospheric NO2 vertical column densities retrieved from ground-based MAX-DOAS measurements at Shangdianzi regional atmospheric background station in China S. Cheng et al. https://doi.org/10.1016/j.jes.2018.12.012
189. Interannual and Decadal Changes in Tropospheric Ozone in China and the Associated Chemistry-Climate Interactions: A Review Y. Fu et al. https://doi.org/10.1007/s00376-019-8216-9
190. Spatiotemporal analysis of airborne pollutants and health risks in Mashhad metropolis: enhanced insights through sensitivity analysis and machine learning F. Ahmadian et al. https://doi.org/10.1007/s10653-024-02332-5
191. Spatial and temporal variation of particulate matter and gaseous pollutants in 26 cities in China F. Chai et al. https://doi.org/10.1016/S1001-0742(13)60383-6
192. Diurnal, seasonal, and annual trends in tropospheric CO in Southwest London during 2000–2015: Wind sector analysis and comparisons with urban and remote sites I. Hernández-Paniagua et al. https://doi.org/10.1016/j.atmosenv.2018.01.027
193. Ambient air pollution of particles and gas pollutants, and the predicted health risks from long-term exposure to PM2.5 in Zhejiang province, China Y. Chen et al. https://doi.org/10.1007/s11356-018-2420-5
194. A new approach to estimate pollutant emissions based on trajectory modeling and its application in the North China Plain W. Xu et al. https://doi.org/10.1016/j.atmosenv.2013.01.047
195. An aerosol air pollution episode affected by binary typhoons in east and central China W. Liu et al. https://doi.org/10.1016/j.apr.2018.01.005
196. Spatiotemporal Variability and Associated Environmental Factors of Tropospheric NO2 Column Density over North China from TROPOMI Observations, 2019–2023 L. Li et al. https://doi.org/10.3390/rs18111758
197. Chemical characteristics of air masses from different urban and industrial centers in the Huabei region of China M. Xue et al. https://doi.org/10.1016/j.atmosenv.2013.01.045
198. Statistical Analysis of Spatiotemporal Heterogeneity of the Distribution of Air Quality and Dominant Air Pollutants and the Effect Factors in Qingdao Urban Zones X. Zhao et al. https://doi.org/10.3390/atmos9040135