273 citations as recorded by crossref.

1. WITHDRAWN: Insights into the source contributions to the elevated fine particulate matter in Nigeria using a source-oriented chemical transport model I. Sulaymon et al. 10.1016/j.chemosphere.2024.141548
2. Diagnostic analysis of regional ozone pollution in Yangtze River Delta, China: A case study in summer 2020 L. Li et al. 10.1016/j.scitotenv.2021.151511
3. A Review of Air Quality Modeling Studies in India: Local and Regional Scale R. Garaga et al. 10.1007/s40726-018-0081-0
4. Impact of weather and emission changes on NO2 concentrations in China during 2014–2019 Y. Shen et al. 10.1016/j.envpol.2020.116163
5. Understanding the nocturnal ozone increase in Nanjing, China: Insights from observations and numerical simulations K. Wang et al. 10.1016/j.scitotenv.2022.160211
6. Satellite-Based Estimation of Roughness Length over Vegetated Surfaces and Its Utilization in WRF Simulations Y. Liu et al. 10.3390/rs15102686
7. WRF-Chem modeling of particulate matter in the Yangtze River Delta region: Source apportionment and its sensitivity to emission changes N. Li et al. 10.1371/journal.pone.0208944
8. Impacts of power generation on air quality in China—part I: An overview L. Huang et al. 10.1016/j.resconrec.2016.04.010
9. Contributions of power generation to air pollution and associated health risks in India: Current status and control scenarios S. Sahu et al. 10.1016/j.jclepro.2020.125587
10. Impacts of biogenic and anthropogenic emissions on summertime ozone formation in the Guanzhong Basin, China N. Li et al. 10.5194/acp-18-7489-2018
11. High spatial resolution ozone risk-assessment for Asian forests A. Marco et al. 10.1088/1748-9326/abb501
12. Ozone Formation at a Suburban Site in the Pearl River Delta Region, China: Role of Biogenic Volatile Organic Compounds J. Wang et al. 10.3390/atmos14040609
13. Air quality modeling for accountability research: Operational, dynamic, and diagnostic evaluation L. Henneman et al. 10.1016/j.atmosenv.2017.07.049
14. Drivers of PM2.5 air pollution deaths in China 2002–2017 G. Geng et al. 10.1038/s41561-021-00792-3
15. First retrieval of 24-hourly 1-km-resolution gapless surface ozone (O3) from space in China using artificial intelligence: Diurnal variations and implications for air quality and phytotoxicity F. Cheng et al. 10.1016/j.rse.2024.114482
16. Consumption Based Source Apportionment Indicates Different Regional Contributions to O3 Concentrations and Health Effects S. Zhu et al. 10.1016/j.eng.2022.11.011
17. Sources of humic-like substances (HULIS) in PM2.5 in Beijing: Receptor modeling approach X. Li et al. 10.1016/j.scitotenv.2019.03.333
18. High-spatial resolution ground-level ozone in Yunnan, China: A spatiotemporal estimation based on comparative analyses of machine learning models X. Man et al. 10.1016/j.envres.2024.118609
19. Source contributions to poor atmospheric visibility in China X. Li et al. 10.1016/j.resconrec.2018.12.029
20. Assessment of background ozone concentrations in China and implications for using region-specific volatile organic compounds emission abatement to mitigate air pollution W. Chen et al. 10.1016/j.envpol.2022.119254
21. The mutual interactions among ozone, fine particulate matter, and carbon dioxide on summer monsoon climate in East Asia D. Ma et al. 10.1016/j.atmosenv.2023.119668
22. Simulation of ozone–vegetation coupling and feedback in China using multiple ozone damage schemes J. Cao et al. 10.5194/acp-24-3973-2024
23. Impact of aerosol optics on vertical distribution of ozone in autumn over Yangtze River Delta S. Yan et al. 10.5194/acp-23-5177-2023
24. Association of PM2.5 from agriculture sources and acute myocardial infarction onset: results from 2015 to 2018 in China P. Du et al. 10.1097/CP9.0000000000000048
25. Unexpected PM2.5-related emissions and accompanying environmental-economic inequalities driven by “clean” tertiary industry in China J. Wang et al. 10.1016/j.scitotenv.2024.170823
26. The role of vertical grid resolution and turbulent diffusion uncertainty on chemical transport modeling L. Jiang et al. 10.1016/j.atmosres.2024.107759
27. Synergistic effects of biogenic volatile organic compounds and soil nitric oxide emissions on summertime ozone formation in China W. Chen et al. 10.1016/j.scitotenv.2022.154218
28. An Air Stagnation Index to Qualify Extreme Haze Events in Northern China J. Feng et al. 10.1175/JAS-D-17-0354.1
29. Assessing Contributions of Agricultural and Nonagricultural Emissions to Atmospheric Ammonia in a Chinese Megacity Y. Chang et al. 10.1021/acs.est.8b05984
30. Source apportionment of PM2.5 across China using LOTOS-EUROS R. Timmermans et al. 10.1016/j.atmosenv.2017.06.003
31. Shifts of Formation Regimes and Increases of Atmospheric Oxidation Led to Ozone Increase in North China Plain and Yangtze River Delta From 2016 to 2019 S. Zhu et al. 10.1029/2022JD038373
32. Relationship between ozone and air temperature in future conditions: A case study in sichuan basin, China J. Wang et al. 10.1016/j.envpol.2023.123276
33. GPS-ZTD data assimilation and its impact on wintertime haze prediction over North China Plain using WRF 3DVAR and CMAQ modeling system L. Gao et al. 10.1007/s11356-021-15248-9
34. Understanding the spatial and seasonal variation of the ground-level ozone in Southeast China with an interpretable machine learning and multi-source remote sensing H. Zhong et al. 10.1016/j.scitotenv.2024.170570
35. Impact of China’s Air Pollution Prevention and Control Action Plan on PM2.5 chemical composition over eastern China G. Geng et al. 10.1007/s11430-018-9353-x
36. Responses of PM2.5 and O3 concentrations to changes of meteorology and emissions in China P. Wang et al. 10.1016/j.scitotenv.2019.01.227
37. The impact of peripheral circulation characteristics of typhoon on sustained ozone episodes over the Pearl River Delta region, China Y. Li et al. 10.5194/acp-22-3861-2022
38. PM2.5 concentrations forecasting in Beijing through deep learning with different inputs, model structures and forecast time J. Yang et al. 10.1016/j.apr.2021.101168
39. Control of both PM2.5 and O3 in Beijing-Tianjin-Hebei and the surrounding areas S. Xiang et al. 10.1016/j.atmosenv.2020.117259
40. The role of anthropogenic chlorine emission in surface ozone formation during different seasons over eastern China Y. Hong et al. 10.1016/j.scitotenv.2020.137697
41. Spatiotemporal modeling of air pollutant concentrations in Germany using machine learning V. Balamurugan et al. 10.5194/acp-23-10267-2023
42. Combined health effects of PM2.5 components on respiratory mortality in short-term exposure using BKMR: A case study in Sichuan, China S. Zhai et al. 10.1016/j.scitotenv.2023.165365
43. A machine learning approach to investigate the build-up of surface ozone in Mexico-City M. Ahmad et al. 10.1016/j.jclepro.2022.134638
44. Estimating particulate matter concentrations and meteorological contributions in China during 2000–2020 S. Wang et al. 10.1016/j.chemosphere.2023.138742
45. Evaluation of regional transport of PM2.5 during severe atmospheric pollution episodes in the western Yangtze River Delta, China I. Sulaymon et al. 10.1016/j.jenvman.2021.112827
46. MSAFormer: A Transformer-Based Model for PM2.5 Prediction Leveraging Sparse Autoencoding of Multi-Site Meteorological Features in Urban Areas H. Wang et al. 10.3390/atmos14081294
47. Current Update on Air Pollution or Quality and Meteorological Variables: A Review and Bibliometric Analysis M. Gidarjati et al. 10.52924/ENRM8997
48. On the effectiveness of short-term intensive emission controls on ozone and particulate matter in a heavily polluted megacity in central China F. Su et al. 10.1016/j.atmosenv.2020.118111
49. Current status of model predictions of volatile organic compounds and impacts on surface ozone predictions during summer in China Y. She et al. 10.5194/acp-24-219-2024
50. Seasonal quantification of the inter-city transport of PM2.5 in the Yangtze River Delta region of China based on a source-oriented chemical transport model and the Michaelis-Menten equation K. Gong et al. 10.1016/j.scitotenv.2024.173856
51. Application of machine learning to analyze ozone sensitivity to influencing factors: A case study in Nanjing, China C. Zhang et al. 10.1016/j.scitotenv.2024.172544
52. Impact of urban morphology on the spatial and temporal distribution of PM2.5 concentration: A numerical simulation with WRF/CMAQ model in Wuhan, China H. Xu & H. Chen 10.1016/j.jenvman.2021.112427
53. Premature Mortality Attributable to Particulate Matter in China: Source Contributions and Responses to Reductions J. Hu et al. 10.1021/acs.est.7b03193
54. Estimation of PM2.5 Concentrations in New York State: Understanding the Influence of Vertical Mixing on Surface PM2.5 Using Machine Learning W. Hung et al. 10.3390/atmos11121303
55. Regulation of open straw burning and residential coal burning around urbanized areas could achieve urban air quality standards in the cold region of northeastern China L. He et al. 10.1016/j.horiz.2023.100077
56. Role of air stagnation in determining daily average PM2.5 concentrations in areas with significant impact of long-range transport S. Jeong et al. 10.1016/j.apr.2024.102147
57. Spatial-temporal variations and source contributions to forest ozone exposure in China X. Qiao et al. 10.1016/j.scitotenv.2019.04.106
58. Explainable and spatial dependence deep learning model for satellite-based O3 monitoring in China N. Luo et al. 10.1016/j.atmosenv.2022.119370
59. From Home and Abroad─Atmospheric Age-Resolved Modeling Reveals the Origin and Evolution of Photochemical Ozone in South Korea M. Choi & Q. Ying 10.1021/acsestair.4c00029
60. Assessing mass balance-based inverse modeling methods via a pseudo-observation test to constrain NOx emissions over South Korea J. Mun et al. 10.1016/j.atmosenv.2022.119429
61. Ensemble prediction of air quality using the WRF/CMAQ model system for health effect studies in China J. Hu et al. 10.5194/acp-17-13103-2017
62. Research on CC-SSBLS Model-Based Air Quality Index Prediction L. Wang et al. 10.3390/atmos15050613
63. Pollutant vertical mixing in the nocturnal boundary layer enhanced by density currents and low-level jets: two representative case studies M. Udina et al. 10.1007/s10546-019-00483-y
64. Quantification of regional contributions to fine particles at downwind areas under Asian continental outflows during winter 2014 J. Jung et al. 10.1016/j.atmosenv.2019.04.062
65. 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. 10.5194/acp-19-12413-2019
66. Inhale, exhale: Why particulate matter exposure in animal models are so acute? F. Curbani et al. 10.1016/j.envpol.2019.04.084
67. Integration of field observation and air quality modeling to characterize Beijing aerosol in different seasons J. Liu et al. 10.1016/j.chemosphere.2019.125195
68. Hourly ozone level prediction based on the characterization of its periodic behavior via deep learning F. Hong et al. 10.1016/j.psep.2023.03.059
69. Assessment of tropospheric ozone simulations in a regional chemical transport model using GEOS-Chem outputs as chemical boundary conditions Y. Zhu et al. 10.1016/j.scitotenv.2023.167485
70. Long-term variations of air pollutants and public exposure in China during 2000–2020 R. Zhang et al. 10.1016/j.scitotenv.2024.172606
71. Investigation of submicron aerosol characteristics in Changzhou, China: Composition, source, and comparison with co-collected PM2.5 Z. Ye et al. 10.1016/j.chemosphere.2017.05.094
72. Spatiotemporal variability and driving factors of ground-level summertime ozone pollution over eastern China H. Liu et al. 10.1016/j.atmosenv.2021.118686
73. Biomass burning CO, PM and fuel consumption per unit burned area estimates derived across Africa using geostationary SEVIRI fire radiative power and Sentinel-5P CO data H. Nguyen et al. 10.5194/acp-23-2089-2023
74. Effects of black carbon and boundary layer interaction on surface ozone in Nanjing, China J. Gao et al. 10.5194/acp-18-7081-2018
75. Seasonal modeling analysis of nitrate formation pathways in Yangtze River Delta region, China J. Sun et al. 10.5194/acp-22-12629-2022
76. Simulation of summer ozone and its sensitivity to emission changes in China H. Guo et al. 10.1016/j.apr.2019.05.003
77. Multi-year downscaling application of two-way coupled WRF v3.4 and CMAQ v5.0.2 over east Asia for regional climate and air quality modeling: model evaluation and aerosol direct effects C. Hong et al. 10.5194/gmd-10-2447-2017
78. Evaluation of impact of residential heating on air quality of megacity Istanbul by CMAQ M. Baykara et al. 10.1016/j.scitotenv.2018.10.091
79. Associations of daily mortality with short-term exposure to PM2.5 and its constituents in Shanghai, China Y. Wang et al. 10.1016/j.chemosphere.2019.05.249
80. PM2.5 constituents and mortality from a spectrum of causes in Guangzhou, China B. Li et al. 10.1016/j.ecoenv.2021.112498
81. Comprehensive evaluation of air pollution emission permit allocation: Effectiveness, efficiency, and equity in China's environmental management framework J. Zhou et al. 10.1016/j.jclepro.2023.139855
82. Source apportionment of fine particulate matter in China in 2013 using a source-oriented chemical transport model Z. Shi et al. 10.1016/j.scitotenv.2017.06.019
83. An ensemble assessment of the effectiveness of vehicular emission control programs for air quality improvement in Hong Kong Y. Li et al. 10.1016/j.atmosenv.2021.118571
84. Impacts of power generation on air quality in China—Part II: Future scenarios J. Hu et al. 10.1016/j.resconrec.2016.04.011
85. Impact of Meteorological Conditions on PM2.5 Pollution in China during Winter Y. Xu et al. 10.3390/atmos9110429
86. Regional source contributions to fine particulate matter of less studied cities in Beijing-Tianjin-Hebei region in 2017 Q. Liu et al. 10.1016/j.partic.2023.01.011
87. Modeling biogenic and anthropogenic secondary organic aerosol in China J. Hu et al. 10.5194/acp-17-77-2017
88. Impacts of chlorine chemistry and anthropogenic emissions on secondary pollutants in the Yangtze river delta region J. Li et al. 10.1016/j.envpol.2021.117624
89. Spatial and Temporal Variations in the Atmospheric Age Distribution of Primary and Secondary Inorganic Aerosols in China X. Xie et al. 10.1016/j.eng.2022.03.013
90. Improved O3 predictions in China by combining chemical transport model and multi-source data with machining learning techniques K. Xiong et al. 10.1016/j.atmosenv.2023.120269
91. Research on ozone pollution control strategies for urban agglomerations based on ozone formation sensitivity and emission source contributions J. Tian et al. 10.1016/j.envpol.2024.125182
92. Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China K. Li et al. 10.1073/pnas.1812168116
93. Improving machine-learned surface NO2 concentration mapping models with domain knowledge from data science perspective M. Hu et al. 10.1016/j.atmosenv.2024.120372
94. A machine learning model to estimate ground-level ozone concentrations in California using TROPOMI data and high-resolution meteorology W. Wang et al. 10.1016/j.envint.2021.106917
95. Investigating air pollutant concentrations, impact factors, and emission control strategies in western China by using a regional climate-chemistry model J. Yang et al. 10.1016/j.chemosphere.2019.125767
96. Role of black carbon in modulating aerosol direct effects driven by air pollution controls during 2013–2017 in China F. Zhang et al. 10.1016/j.scitotenv.2022.154928
97. Diurnal variations and source apportionment of ozone at the summit of Mount Huang, a rural site in Eastern China J. Gao et al. 10.1016/j.envpol.2016.11.031
98. The joint impact of PM2.5, O3, and CO2 on the East Asian Summer Monsoon in 2013 and 2018 due to contrasting emission reduction D. Ma et al. 10.1016/j.atmosenv.2024.120678
99. Review of receptor-based source apportionment research of fine particulate matter and its challenges in China Y. Zhang et al. 10.1016/j.scitotenv.2017.02.071
100. Modeling PM2.5 and O3 with aerosol feedbacks using WRF/Chem over the Sichuan Basin, southwestern China P. Wang et al. 10.1016/j.chemosphere.2020.126735
101. What have we missed when studying the impact of aerosols on surface ozone via changing photolysis rates? J. Gao et al. 10.5194/acp-20-10831-2020
102. Model vs. observation discrepancy in aerosol characteristics during a half-year long campaign in Northeast China: The role of biomass burning Y. Cheng et al. 10.1016/j.envpol.2020.116167
103. Satellite-based estimates of high-resolution CO concentrations at ground level in the Yangtze River Economic Belt of China J. Dong et al. 10.1016/j.atmosenv.2023.120018
104. Source apportionment and regional transport of anthropogenic secondary organic aerosol during winter pollution periods in the Yangtze River Delta, China J. Liu et al. 10.1016/j.scitotenv.2019.135620
105. High-Resolution Spatiotemporal Modeling for Ambient PM2.5 Exposure Assessment in China from 2013 to 2019 C. Huang et al. 10.1021/acs.est.0c05815
106. Significant reductions of urban daytime ozone by extremely high concentration NOX from ship’s emissions: A case study Z. Song et al. 10.1016/j.apr.2024.102142
107. Ozone deterioration over North China plain caused by light absorption of black carbon and organic carbon J. Li & Y. Li 10.1016/j.atmosenv.2023.120048
108. Puzzling Haze Events in China During the Coronavirus (COVID‐19) Shutdown Y. Chang et al. 10.1029/2020GL088533
109. Improved estimation of particulate matter in China based on multisource data fusion S. Wang et al. 10.1016/j.scitotenv.2023.161552
110. Spatiotemporal Variability of Air Stagnation and its Relation to Summertime Ozone in the Yangtze River Delta of China M. Xie et al. 10.3389/fenvs.2021.783524
111. Impact of Meteorological Conditions on PM2.5 Pollution in Changchun and Associated Health Risks Analysis C. Fang et al. 10.3390/atmos15050616
112. Specific differences and responses to reductions for premature mortality attributable to ambient PM2.5 in China Y. Li et al. 10.1016/j.scitotenv.2020.140643
113. Daily spatiotemporal prediction of surface ozone at the national level in China: An improvement of CAMS ozone product Y. Mo et al. 10.1016/j.apr.2020.09.020
114. Assessing the effectiveness of SO2, NOx, and NH3 emission reductions in mitigating winter PM2.5 in Taiwan using CMAQ P. Huang et al. 10.5194/acp-24-10759-2024
115. Efficiency of DECA on ship emission and urban air quality: A case study of China port L. Yang et al. 10.1016/j.jclepro.2022.132556
116. Evaluation of a data fusion approach to estimate daily PM2.5 levels in North China F. Liang et al. 10.1016/j.envres.2017.06.001
117. Comparison of 24 h Surface Ozone Forecast for Poland: CAMS Models vs Simple Statistical Models with Limited Number of Input Parameters I. Pawlak et al. 10.3390/atmos14040670
118. Analysis of the Causes of an O3 Pollution Event in Suqian on 18–21 June 2020 Based on the WRF-CMAQ Model J. Wang et al. 10.3390/atmos15070831
119. Impacts of emissions along the lower Yangtze River on air quality and public health in the Yangtze River delta, China L. Sheng et al. 10.1016/j.apr.2022.101420
120. Exploring the sources of light-absorbing carbonaceous aerosols by integrating observational and modeling results: insights from Northeast China Y. Cheng et al. 10.5194/acp-24-9869-2024
121. Grid-based spatiotemporal modeling of ambient ozone to assess human exposure using environmental big data X. Meng et al. 10.1016/j.apr.2021.101216
122. Effects of ozone–vegetation interactions on meteorology and air quality in China using a two-way coupled land–atmosphere model J. Zhu et al. 10.5194/acp-22-765-2022
123. Modeling diurnal variation of surface PM<sub>2.5</sub> concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission Q. Du et al. 10.5194/acp-20-2839-2020
124. Seasonal changes in the recent decline of combined high PM2.5 and O3 pollution and associated chemical and meteorological drivers in the Beijing–Tianjin–Hebei region, China Y. Luo et al. 10.1016/j.scitotenv.2022.156312
125. Vertical profiles of the transport fluxes of aerosol and its precursors between Beijing and its southwest cities Q. Hu et al. 10.1016/j.envpol.2022.119988
126. A systematic survey of air quality prediction based on deep learning Z. Zhang et al. 10.1016/j.aej.2024.03.031
127. Using the COVID-19 lockdown to identify atmospheric processes and meteorology influences on regional PM2.5 pollution episodes in the Beijing-Tianjin-Hebei, China I. Sulaymon et al. 10.1016/j.atmosres.2023.106940
128. PM2.5 Estimation with the WRF/Chem Model, Produced by Vehicular Flow in the Lima Metropolitan Area W. Reátegui-Romero et al. 10.4236/ojap.2018.73011
129. Multistation collaborative prediction of air pollutants based on the CNN-BiLSTM model Y. Lu & K. Li 10.1007/s11356-023-28877-z
130. Nonagricultural emissions enhance dimethylamine and modulate urban atmospheric nucleation Y. Chang et al. 10.1016/j.scib.2023.05.033
131. Ozone pollution over China and India: seasonality and sources M. Gao et al. 10.5194/acp-20-4399-2020
132. Integrated process analysis retrieval of changes in ground-level ozone and fine particulate matter during the COVID-19 outbreak in the coastal city of Kannur, India F. Ye et al. 10.1016/j.envpol.2022.119468
133. Exposure and dose assessment of school children to air pollutants in a tropical coastal-urban area Y. Kitagawa et al. 10.1016/j.scitotenv.2021.149747
134. Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017 Y. Xu et al. 10.1016/j.atmosenv.2019.117215
135. Model bias in simulating major chemical components of PM<sub>2.5</sub> in China R. Miao et al. 10.5194/acp-20-12265-2020
136. Premature Mortality Associated with Exposure to Outdoor Black Carbon and Its Source Contributions in China Y. Wang et al. 10.1016/j.resconrec.2021.105620
137. Atmospheric Age Distribution of Primary and Secondary Inorganic Aerosols in a Polluted Atmosphere Q. Ying et al. 10.1021/acs.est.0c07334
138. Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016 X. Meng et al. 10.1016/j.rse.2020.112203
139. Responses of fine particulate matter and ozone to local emission reductions in the Sichuan Basin, southwestern China X. Qiao et al. 10.1016/j.envpol.2021.116793
140. Estimating the daily PM2.5 concentration in the Beijing-Tianjin-Hebei region using a random forest model with a 0.01° × 0.01° spatial resolution C. Zhao et al. 10.1016/j.envint.2019.105297
141. Enhanced atmospheric oxidation capacity and associated ozone increases during COVID-19 lockdown in the Yangtze River Delta Y. Wang et al. 10.1016/j.scitotenv.2020.144796
142. Source contributions and potential reductions to health effects of particulate matter in India H. Guo et al. 10.5194/acp-18-15219-2018
143. Source apportionment of secondary organic aerosol in China using a regional source-oriented chemical transport model and two emission inventories P. Wang et al. 10.1016/j.envpol.2017.10.122
144. Projected air quality and health benefits from future policy interventions in India K. Chen et al. 10.1016/j.resconrec.2018.12.008
145. Impact of increase in urban sprawls representing five decades on summer-time air quality based on WRF-Chem model simulations over central-National Capital Region, India A. Sati & M. Mohan 10.1016/j.apr.2020.12.002
146. Drivers of associations between daytime-nighttime compound temperature extremes and mortality in China J. Yang et al. 10.1038/s43856-024-00557-0
147. Stabilization for the secondary species contribution to PM2.5 in the Pearl River Delta (PRD) over the past decade, China: A meta-analysis F. Yan et al. 10.1016/j.atmosenv.2020.117817
148. Analysis of PM_2.5 in Shiga Prefecture using an atmospheric chemistry transport model K. MIYAMOTO et al. 10.2208/jscejer.74.I_61
149. Ozone affected by a succession of four landfall typhoons in the Yangtze River Delta, China: major processes and health impacts C. Zhan et al. 10.5194/acp-20-13781-2020
150. The impact of the aerosol reduction on the worsening ozone pollution over the Beijing-Tianjin-Hebei region via influencing photolysis rates J. Gao et al. 10.1016/j.scitotenv.2022.153197
151. Effects of using different exposure data to estimate changes in premature mortality attributable to PM2.5 and O3 in China C. Wang et al. 10.1016/j.envpol.2021.117242
152. The impact of sea-salt chloride on ozone through heterogeneous reaction with N2O5 in a coastal region of south China J. Dai et al. 10.1016/j.atmosenv.2020.117604
153. Driving Forces of Changes in Air Quality during the COVID-19 Lockdown Period in the Yangtze River Delta Region, China T. Liu et al. 10.1021/acs.estlett.0c00511
154. Evaluation of Long-Term Modeling Fine Particulate Matter and Ozone in China During 2013–2019 J. Mao et al. 10.3389/fenvs.2022.872249
155. Modelling air quality during the EXPLORE-YRD campaign – Part I. Model performance evaluation and impacts of meteorological inputs and grid resolutions X. Wang et al. 10.1016/j.atmosenv.2020.118131
156. Novel Method for Ozone Isopleth Construction and Diagnosis for the Ozone Control Strategy of Chinese Cities H. Shen et al. 10.1021/acs.est.1c01567
157. Importance of ozone precursors information in modelling urban surface ozone variability using machine learning algorithm V. Balamurugan et al. 10.1038/s41598-022-09619-6
158. Prenatal exposure to PM2.5 and its constituents with children's BMI Z-score in the first three years: A birth cohort study S. Zhou et al. 10.1016/j.envres.2023.116326
159. Modeling PM2.5 During Severe Atmospheric Pollution Episode in Lagos, Nigeria: Spatiotemporal Variations, Source Apportionment, and Meteorological Influences I. Sulaymon et al. 10.1029/2022JD038360
160. Ankara İli Meteoroloji Parametrelerinin Hava Kirliliği Üzerindeki Etkilerinin Regresyon Analizi ile İncelenmesi C. ÜNAL & G. ÖZEL 10.51541/nicel.1231668
161. Implications of 1.5 K climate warming on warm-season ozone exposure and atmospheric oxidation capacity in China Z. Shi et al. 10.1016/j.aosl.2024.100556
162. Characteristics of Air Pollutants Emission and Its Impacts on Public Health of Chengdu, Western China J. Wang et al. 10.3390/ijerph192416852
163. Impacts of land cover changes on biogenic emission and its contribution to ozone and secondary organic aerosol in China J. Ma et al. 10.5194/acp-23-4311-2023
164. Estimation of biogenic VOC emissions and their corresponding impact on ozone and secondary organic aerosol formation in China K. Wu et al. 10.1016/j.atmosres.2019.104656
165. Revealing the origin of fine particulate matter in the Sichuan Basin from a source-oriented modeling perspective X. Qiao et al. 10.1016/j.atmosenv.2020.117896
166. Role of Heat Wave‐Induced Biogenic VOC Enhancements in Persistent Ozone Episodes Formation in Pearl River Delta H. Wang et al. 10.1029/2020JD034317
167. Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak P. Wang et al. 10.1016/j.resconrec.2020.104814
168. Markedly Enhanced Levels of Peroxyacetyl Nitrate (PAN) During COVID‐19 in Beijing Y. Qiu et al. 10.1029/2020GL089623
169. Spatio‐Temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks M. Cheng et al. 10.1029/2021MS002806
170. A hybrid CNN-Transformer model for ozone concentration prediction Y. Chen et al. 10.1007/s11869-022-01197-w
171. Statistical Approaches for Forecasting Primary Air Pollutants: A Review K. Liao et al. 10.3390/atmos12060686
172. Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes X. Li et al. 10.1016/j.atmosenv.2019.117181
173. Aggravated air pollution and health burden due to traffic congestion in urban China P. Wang et al. 10.5194/acp-23-2983-2023
174. Drivers of alleviated PM2.5 and O3 concentrations in China from 2013 to 2020 T. Shao et al. 10.1016/j.resconrec.2023.107110
175. Full-coverage spatiotemporal estimation of surface ozone over China based on a high-efficiency deep learning model X. Mu et al. 10.1016/j.jag.2023.103284
176. Performance and application of air quality models on ozone simulation in China – A review J. Yang & Y. Zhao 10.1016/j.atmosenv.2022.119446
177. Effects of chemical mechanism and meteorological factors on the concentration of atmospheric pollutants in the megacity Beijing, China Y. Li et al. 10.1016/j.atmosenv.2024.120393
178. Coastal-urban meteorology: A sensitivity study using the WRF-urban model Y. Kitagawa et al. 10.1016/j.uclim.2022.101185
179. Spatiotemporal prediction of daily ambient ozone levels across China using random forest for human exposure assessment Y. Zhan et al. 10.1016/j.envpol.2017.10.029
180. Assessing the Uncertainties in Ozone and SOA Predictions due to Different Branching Ratios of the Cresol Pathway in the Toluene-OH Oxidation Mechanism J. Zhang et al. 10.1021/acsearthspacechem.1c00092
181. Drivers of Increasing Ozone during the Two Phases of Clean Air Actions in China 2013–2020 Y. Liu et al. 10.1021/acs.est.3c00054
182. Estimating daily full-coverage near surface O3, CO, and NO2 concentrations at a high spatial resolution over China based on S5P-TROPOMI and GEOS-FP Y. Wang et al. 10.1016/j.isprsjprs.2021.03.018
183. Worsening urban ozone pollution in China from 2013 to 2017 – Part 1: The complex and varying roles of meteorology Y. Liu & T. Wang 10.5194/acp-20-6305-2020
184. Regional source apportionment of summertime ozone and its precursors in the megacities of Beijing and Shanghai using a source-oriented chemical transport model P. Wang et al. 10.1016/j.atmosenv.2020.117337
185. Assessing the contribution of open crop straw burning to ground-level ozone and associated health impacts in China and the effectiveness of straw burning bans L. Huang et al. 10.1016/j.envint.2022.107710
186. Characterization and source apportionment of marine aerosols over the East China Sea M. Kang et al. 10.1016/j.scitotenv.2018.10.174
187. The associations of prenatal exposure to PM2.5 and its constituents with fetal growth: A prospective birth cohort in Beijing, China S. Zhou et al. 10.1016/j.envres.2022.114196
188. Role of export industries on ozone pollution and its precursors in China J. Ou et al. 10.1038/s41467-020-19035-x
189. Improved Modeling of Spatiotemporal Variations of Fine Particulate Matter Using a Three‐Dimensional Variational Data Fusion Method X. Zhang et al. 10.1029/2020JD033599
190. Atmospheric deposition of sulfur and nitrogen in the West China rain zone: Fluxes, concentrations, ecological risks, and source apportionment X. Qiao et al. 10.1016/j.atmosres.2021.105569
191. Implications of ozone transport on air quality in the Sichuan Basin, China Y. Zhang et al. 10.1007/s11356-024-33991-7
192. Spatializing the roughness length of heterogeneous urban underlying surfaces to improve the WRF simulation-part 1: A review of morphological methods and model evaluation C. Shen et al. 10.1016/j.atmosenv.2021.118874
193. Source apportionment of PM2.5 for 25 Chinese provincial capitals and municipalities using a source-oriented Community Multiscale Air Quality model X. Qiao et al. 10.1016/j.scitotenv.2017.08.272
194. Air Quality Modeling Study on the Controlling Factors of Fine Particulate Matter (PM2.5) in Hanoi: A Case Study in December 2010 T. Nguyen et al. 10.3390/atmos11070733
195. High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data N. Shahrokhishahraki et al. 10.1016/j.atmosenv.2021.118881
196. Source apportionment modelling of PM2.5 using CMAQ-ISAM over a tropical coastal-urban area Y. Kitagawa et al. 10.1016/j.apr.2021.101250
197. Enhanced summertime background ozone by anthropogenic emissions – Implications on ozone control policy and health risk assessment M. Kang et al. 10.1016/j.atmosenv.2023.120116
198. Attribution of Tropospheric Ozone to NOx and VOC Emissions: Considering Ozone Formation in the Transition Regime P. Wang et al. 10.1021/acs.est.8b05981
199. Extracting regional and temporal features to improve machine learning for hourly air pollutants in urban India S. Wang et al. 10.1016/j.atmosenv.2024.120834
200. Estimating 2013–2019 NO2 exposure with high spatiotemporal resolution in China using an ensemble model C. Huang et al. 10.1016/j.envpol.2021.118285
201. Efficacy of China’s clean air actions to tackle PM2.5 pollution between 2013 and 2020 G. Geng et al. 10.1038/s41561-024-01540-z
202. Impact of reduced anthropogenic emissions during COVID-19 on air quality in India M. Zhang et al. 10.5194/acp-21-4025-2021
203. Diagnosing drivers of PM2.5 simulation biases in China from meteorology, chemical composition, and emission sources using an efficient machine learning method S. Wang et al. 10.5194/gmd-17-3617-2024
204. Does Ozone Pollution Share the Same Formation Mechanisms in the Bay Areas of China? Y. Zeren et al. 10.1021/acs.est.2c05126
205. Drivers of improved PM 2.5 air quality in China from 2013 to 2017 Q. Zhang et al. 10.1073/pnas.1907956116
206. Evolution of atmospheric age of particles and its implications for the formation of a severe haze event in eastern China X. Xie et al. 10.5194/acp-23-10563-2023
207. Incorporating Health Cobenefits in Decision-Making for the Decommissioning of Coal-Fired Power Plants in China J. Li et al. 10.1021/acs.est.0c03310
208. Examining the implications of photochemical indicators for O3–NOx–VOC sensitivity and control strategies: a case study in the Yangtze River Delta (YRD), China X. Li et al. 10.5194/acp-22-14799-2022
209. Unexpected enhancement of ozone exposure and health risks during National Day in China P. Wang et al. 10.5194/acp-21-10347-2021
210. Updating Biogenic Volatile Organic Compound (BVOC) Emissions With Locally Measured Emission Factors in South China and the Effect on Modeled Ozone and Secondary Organic Aerosol Production P. Wang et al. 10.1029/2023JD039928
211. Emissions leakage embodied in inter-provincial trade brings unexpected air quality and health benefits P. Qi et al. 10.1016/j.scitotenv.2023.167085
212. Surface–atmosphere fluxes of volatile organic compounds in Beijing W. Acton et al. 10.5194/acp-20-15101-2020
213. Anthropogenically and meteorologically modulated summertime ozone trends and their health implications since China's clean air actions D. Yan et al. 10.1016/j.envpol.2023.123234
214. A new approach to spatial source apportionment of haze pollution in large scale and its application in China H. Liu et al. 10.1080/10042857.2018.1480687
215. Source apportionment of summertime ozone in China using a source-oriented chemical transport model P. Wang et al. 10.1016/j.atmosenv.2019.05.006
216. Sensitivity analysis of the surface ozone and fine particulate matter to meteorological parameters in China Z. Shi et al. 10.5194/acp-20-13455-2020
217. Projecting heat-related excess mortality under climate change scenarios in China J. Yang et al. 10.1038/s41467-021-21305-1
218. Year-long simulation of gaseous and particulate air pollutants in India S. Kota et al. 10.1016/j.atmosenv.2018.03.003
219. Black Carbon Radiative Impacts on Surface Atmospheric Oxidants in China with WRF-Chem Simulation W. Dai et al. 10.3390/atmos15101255
220. Simulation of Neighborhood‐Scale Air Quality With Two‐Way Coupled WRF‐CMAQ Over Southern Lake Michigan‐Chicago Region A. Montgomery et al. 10.1029/2022JD037942
221. Isoprene Emissions Response to Drought and the Impacts on Ozone and SOA in China P. Wang et al. 10.1029/2020JD033263
222. Ozone Pollution in Chinese Cities: Spatiotemporal Variations and Their Relationships with Meteorological and Other Pollution Factors (2016–2020) Q. Ge et al. 10.3390/atmos13060908
223. Analyses and Simulations of PM2.5 Pollution Characteristics under the Influence of the New Year’s Day Effects in China Q. Shi et al. 10.3390/atmos15050568
224. Satellite-Based Estimates of Daily NO2 Exposure in China Using Hybrid Random Forest and Spatiotemporal Kriging Model Y. Zhan et al. 10.1021/acs.est.7b05669
225. The Critical Role of Policy Enforcement in Achieving Health, Air Quality, and Climate Benefits from India’s Clean Electricity Transition W. Peng et al. 10.1021/acs.est.0c01622
226. Source-specified atmospheric age distribution of black carbon and its impact on optical properties over the Yangtze River Delta J. Yin et al. 10.1016/j.scitotenv.2024.171353
227. Impact of Short-Term Emission Control Measures on Air Quality in Nanjing During the Jiangsu Development Summit H. Zhang et al. 10.3389/fenvs.2021.693513
228. Influence of meteorological reanalysis field on air quality modeling in the Yangtze River Delta, China X. Wang et al. 10.1016/j.atmosenv.2023.120231
229. A multi-task stations cooperative air quality prediction system for sustainable development B. Li & P. Wang 10.1057/s41599-024-03532-1
230. Effects of VOC emissions from chemical industrial parks on regional O3-PM2.5 compound pollution in the Yangtze River Delta L. He et al. 10.1016/j.scitotenv.2023.167503
231. Development of WRF/CUACE v1.0 model and its preliminary application in simulating air quality in China L. Zhang et al. 10.5194/gmd-14-703-2021
232. Isotopic imprints of aerosol ammonium over the north China plain A. Mgelwa et al. 10.1016/j.envpol.2022.120376
233. Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China J. Wei et al. 10.1016/j.rse.2021.112775
234. Summertime ozone pollution in Sichuan Basin, China: Meteorological conditions, sources and process analysis X. Yang et al. 10.1016/j.atmosenv.2020.117392
235. Evaluation of CMAQ modeling sensitivity to planetary boundary layer parameterizations for gaseous and particulate pollutants over a fjord valley C. Onwukwe & P. Jackson 10.1016/j.atmosenv.2020.117607
236. Persistent high PM2.5 pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China I. Sulaymon et al. 10.1016/j.envres.2021.111186
237. Influence of transboundary air pollution and meteorology on air quality in three major cities of Anhui Province, China I. Sulaymon et al. 10.1016/j.jclepro.2021.129641
238. Assessing the Impacts of Climate Change on Meteorology and Air Stagnation in China Using a Dynamical Downscaling Method A. Hu et al. 10.3389/fenvs.2022.894887
239. Prioritizing Local Authorities Effective to Lower the Nationwide PM2.5 Concentrations and the Personal Exposure Based on the Source Apportionment with the CAPSS 2016 Emissions Inventory C. Bae et al. 10.5572/KOSAE.2021.37.3.410
240. Meteorological effects on sources and future projection of nitrogen deposition to lakes in China C. Shi et al. 10.1016/j.jes.2024.03.050
241. Effects of atmospheric transport and trade on air pollution mortality in China H. Zhao et al. 10.5194/acp-17-10367-2017
242. The "Three Lines One Permit" policy: An integrated environmental regulation in China Z. Wang et al. 10.1016/j.resconrec.2020.105101
243. Variance analysis applied to ground-level ozone concentrations in the state of São Paulo, Brazil V. Carvalho et al. 10.1007/s43153-020-00045-7
244. Interannual and Decadal Changes in Tropospheric Ozone in China and the Associated Chemistry-Climate Interactions: A Review Y. Fu et al. 10.1007/s00376-019-8216-9
245. Overestimated role of sulfate in haze formation over Chinese megacities due to improper simulation of heterogeneous reactions Y. Cheng et al. 10.1007/s10311-022-01464-3
246. Atmospheric oxidation capacity and its contribution tosecondary pollutants formation P. Wang et al. 10.1360/TB-2021-0761
247. Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1 G. Brasseur et al. 10.5194/gmd-12-33-2019
248. A novel hybrid air quality early-warning system based on phase-space reconstruction and multi-objective optimization: A case study in China Y. Wang et al. 10.1016/j.jclepro.2020.121027
249. Fine particulate matter constituents and cause-specific mortality in China: A nationwide modelling study J. Yang et al. 10.1016/j.envint.2020.105927
250. Modeling Secondary Organic Aerosols in China: State of the Art and Perspectives J. Li et al. 10.1007/s40726-022-00246-3
251. Improving the accuracy of O3 prediction from a chemical transport model with a random forest model in the Yangtze River Delta region, China K. Xiong et al. 10.1016/j.envpol.2022.120926
252. Sources and health risks of ambient polycyclic aromatic hydrocarbons in China F. Han et al. 10.1016/j.scitotenv.2019.134229
253. A novel framework for daily forecasting of ozone mass concentrations based on cycle reservoir with regular jumps neural networks Y. Mo et al. 10.1016/j.atmosenv.2019.117072
254. Assessing short-term impacts of PM2.5 constituents on cardiorespiratory hospitalizations: Multi-city evidence from China Y. Zhang et al. 10.1016/j.ijheh.2021.113912
255. Trace Elements From Ocean‐Going Vessels in East Asia: Vanadium and Nickel Emissions and Their Impacts on Air Quality J. Zhao et al. 10.1029/2020JD033984
256. Influence of urbanization on meteorological conditions and ozone pollution in the Central Plains Urban Agglomeration, China J. Tian et al. 10.1016/j.envpol.2024.124290
257. Unequal Health Risks and Attributable Mortality Burden of Source-Specific PM2.5 in China P. Du et al. 10.1021/acs.est.3c08789
258. Impacts of water partitioning and polarity of organic compounds on secondary organic aerosol over eastern China J. Li et al. 10.5194/acp-20-7291-2020
259. Estimation of Aromatic Secondary Organic Aerosol Using a Molecular Tracer—A Chemical Transport Model Assessment J. Zhang et al. 10.1021/acs.est.1c03670
260. Impacts of model resolution on predictions of air quality and associated health exposure in Nanjing, China T. Liu et al. 10.1016/j.chemosphere.2020.126515
261. Modeling the impact of heterogeneous reactions of chlorine on summertime nitrate formation in Beijing, China X. Qiu et al. 10.5194/acp-19-6737-2019
262. Investigation of variations, causes and component distributions of PM2.5 mass in China using a coupled regional climate-chemistry model J. Yang et al. 10.1016/j.apr.2019.11.005
263. Non-negligible contributions to human health from increased household air pollution exposure during the COVID-19 lockdown in China Y. Zhang et al. 10.1016/j.envint.2021.106918
264. Implications of Mitigating Ozone and Fine Particulate Matter Pollution in the Guangdong‐Hong Kong‐Macau Greater Bay Area of China Using a Regional‐To‐Local Coupling Model X. Zhang et al. 10.1029/2021GH000506
265. Short-term effects of fine particulate matter constituents on myocardial infarction death S. Mo et al. 10.1016/j.jes.2022.07.019
266. PM2.5 and O3 concentration estimation based on interpretable machine learning S. Wang et al. 10.1016/j.apr.2023.101866
267. Impacts of meteorology and emission variations on the heavy air pollution episode in North China around the 2020 Spring Festival W. Xue et al. 10.1007/s11430-020-9683-8
268. Variations in Nocturnal Residual Layer Height and Its Effects on Surface PM2.5 over Wuhan, China X. Ma et al. 10.3390/rs13224717
269. Modeling Ammonia and Its Uptake by Secondary Organic Aerosol Over China K. Wu et al. 10.1029/2020JD034109
270. Study of Secondary Organic Aerosol Formation from Chlorine Radical-Initiated Oxidation of Volatile Organic Compounds in a Polluted Atmosphere Using a 3D Chemical Transport Model M. Choi et al. 10.1021/acs.est.0c02958
271. Insights from ozone and particulate matter pollution control in New York City applied to Beijing J. Zhang et al. 10.1038/s41612-022-00309-8
272. Impacts of power generation on air quality in China—Part II: Future scenarios J. Hu et al. 10.1016/j.resconrec.2016.04.011
273. Impacts of power generation on air quality in China—part I: An overview L. Huang et al. 10.1016/j.resconrec.2016.04.010