173 citations as recorded by crossref.

1. Least-cost control strategy optimization for air quality attainment of Beijing–Tianjin–Hebei region in China J. Xing et al. 10.1016/j.jenvman.2019.05.022
2. Impacts of emissions and meteorological changes on China’s ozone pollution in the warm seasons of 2013 and 2017 D. Ding et al. 10.1007/s11783-019-1160-1
3. Insights into cooking sources in the context of sustainable development goals J. Li 10.1016/j.spc.2020.12.017
4. Enhancement of the polynomial functions response surface model for real-time analyzing ozone sensitivity J. Jin et al. 10.1007/s11783-020-1323-0
5. Coupled multifractal methods to reveal changes in nitrogen dioxide and tropospheric ozone concentrations during the COVID-19 lockdown P. Pavón-Domínguez & T. Plocoste 10.1016/j.atmosres.2021.105755
6. Future-Year Ozone Isopleths for South Coast, San Joaquin Valley, and Maryland S. Collet et al. 10.3390/atmos9090354
7. Decline in bulk deposition of air pollutants in China lags behind reductions in emissions Y. Zhao et al. 10.1038/s41561-022-00899-1
8. Quantification of the enhanced effectiveness of NO<sub><i>x</i></sub> control from simultaneous reductions of VOC and NH<sub>3</sub> for reducing air pollution in the Beijing–Tianjin–Hebei region, China J. Xing et al. 10.5194/acp-18-7799-2018
9. Impact of isoprene and HONO chemistry on ozone and OVOC formation in a semirural South Korean forest S. Kim et al. 10.5194/acp-15-4357-2015
10. Observations and modeling of air quality trends over 1990–2010 across the Northern Hemisphere: China, the United States and Europe J. Xing et al. 10.5194/acp-15-2723-2015
11. A review of the technology and applications of methods for evaluating the transport of air pollutants X. Wang et al. 10.1016/j.jes.2022.06.022
12. Sensitivity modeling of ozone and its precursors over the Chengdu metropolitan area X. Du et al. 10.1016/j.atmosenv.2022.119071
13. Modeling spatial variation of gaseous air pollutants and particulate matters in a Metropolitan area using mobile monitoring data J. Xu et al. 10.1016/j.envres.2022.112858
14. Removing the effects of meteorological factors on changes in nitrogen dioxide and ozone concentrations in China from 2013 to 2020 C. Lin et al. 10.1016/j.scitotenv.2021.148575
15. Improvements of response surface modeling with self-adaptive machine learning method for PM2.5 and O3 predictions J. Li et al. 10.1016/j.jenvman.2021.114210
16. Comprehensive Insights Into O3 Changes During the COVID‐19 From O3 Formation Regime and Atmospheric Oxidation Capacity S. Zhu et al. 10.1029/2021GL093668
17. Assessing the nonlinear response of fine particles to precursor emissions: development and application of an extended response surface modeling technique v1.0 B. Zhao et al. 10.5194/gmd-8-115-2015
18. Source contribution analysis of PM2.5 using Response Surface Model and Particulate Source Apportionment Technology over the PRD region, China Z. Li et al. 10.1016/j.scitotenv.2021.151757
19. Measurement report: Ambient volatile organic compound (VOC) pollution in urban Beijing: characteristics, sources, and implications for pollution control L. Cui et al. 10.5194/acp-22-11931-2022
20. Analysis of Pollution Characteristics and Influencing Factors of Main Pollutants in the Atmosphere of Shenyang City J. Tian et al. 10.3390/atmos11070766
21. 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
22. Long-Term (2011–2019) Trends of O3, NO2, and HCHO and Sensitivity Analysis of O3 Chemistry over the GBM (Ganges–Brahmaputra–Meghna) Delta: Spatial and Temporal Variabilities M. Pavel et al. 10.1021/acsearthspacechem.1c00057
23. Deep cut of anthropogenic nitrogen oxides emissions to mitigate ozone vegetation damages in China M. Lu et al. 10.1016/j.atmosenv.2022.119454
24. Two reduced form air quality modeling techniques for rapidly calculating pollutant mitigation potential across many sources, locations and precursor emission types K. Foley et al. 10.1016/j.atmosenv.2014.08.046
25. How ethanol and gasoline formula changes evaporative emissions of the vehicles H. Man et al. 10.1016/j.apenergy.2018.03.109
26. Effectiveness of national air pollution control policies on the air quality in metropolitan areas of China S. Wang et al. 10.1016/S1001-0742(13)60381-2
27. Nonlinear relationships between air pollutant emissions and PM2.5-related health impacts in the Beijing-Tianjin-Hebei region B. Zhao et al. 10.1016/j.scitotenv.2019.01.169
28. Evaluating the “2+26” regional strategy for air quality improvement during two air pollution alerts in Beijing: variations in PM<sub>2.5</sub> concentrations, source apportionment, and the relative contribution of local emission and regional transport Z. Chen et al. 10.5194/acp-19-6879-2019
29. Photochemical indicators of ozone sensitivity: application in the Pearl River Delta, China L. Ye et al. 10.1007/s11783-016-0887-1
30. Large-scale optimization of multi-pollutant control strategies in the Pearl River Delta region of China using a genetic algorithm in machine learning J. Huang et al. 10.1016/j.scitotenv.2020.137701
31. Investigating the response of East Asian ozone to Chinese emission changes using a linear approach K. Yamaji et al. 10.1016/j.atmosenv.2012.03.009
32. Comprehensive analyses of source sensitivities and apportionments of PM<sub>2.5</sub> and ozone over Japan via multiple numerical techniques S. Chatani et al. 10.5194/acp-20-10311-2020
33. Chemical reactivity of volatile organic compounds and their effects on ozone formation in a petrochemical industrial area of Lanzhou, Western China W. Guo et al. 10.1016/j.scitotenv.2022.155901
34. Inorganic aerosols responses to emission changes in Yangtze River Delta, China X. Dong et al. 10.1016/j.scitotenv.2014.02.076
35. Identifying the O3 chemical regime inferred from the weekly pattern of atmospheric O3, CO, NOx, and PM10: Five-year observations at a center urban site in Shanghai, China G. Zhang et al. 10.1016/j.scitotenv.2023.164079
36. Worsening urban ozone pollution in China from 2013 to 2017 – Part 2: The effects of emission changes and implications for multi-pollutant control Y. Liu & T. Wang 10.5194/acp-20-6323-2020
37. Multi-factor reconciliation of discrepancies in ozone-precursor sensitivity retrieved from observation- and emission-based models D. Xu et al. 10.1016/j.envint.2021.106952
38. Application of validation data for assessing spatial interpolation methods for 8-h ozone or other sparsely monitored constituents J. Joseph et al. 10.1016/j.envpol.2013.03.035
39. Assessing the importance of nonlinearity for aircraft emissions' impact on O3 and PM2.5 C. Arter & S. Arunachalam 10.1016/j.scitotenv.2021.146121
40. Ozone pollution in China: A review of concentrations, meteorological influences, chemical precursors, and effects T. Wang et al. 10.1016/j.scitotenv.2016.10.081
41. Performance and application of air quality models on ozone simulation in China – A review J. Yang & Y. Zhao 10.1016/j.atmosenv.2022.119446
42. Global Climate and Human Health Effects of the Gasoline and Diesel Vehicle Fleets Y. Huang et al. 10.1029/2019GH000240
43. Source impact and contribution analysis of ambient ozone using multi-modeling approaches over the Pearl River Delta region, China T. Fang et al. 10.1016/j.envpol.2021.117860
44. Combing GOME-2B and OMI Satellite Data to Estimate Near-Surface NO2 of Mainland China D. Li et al. 10.1109/JSTARS.2021.3117396
45. Relationships of ozone formation sensitivity with precursors emissions, meteorology and land use types, in Guangdong-Hong Kong-Macao Greater Bay Area, China Y. Chen et al. 10.1016/j.jes.2020.04.005
46. Responses of nitrogen and sulfur deposition to NH3 emission control in the Yangtze River Delta, China Z. Dong et al. 10.1016/j.envpol.2022.119646
47. A case study of development and application of a streamlined control and response modeling system for PM2.5 attainment assessment in China S. Long et al. 10.1016/j.jes.2015.05.019
48. Characterization of volatile organic compounds and the impacts on the regional ozone at an international airport X. Yang et al. 10.1016/j.envpol.2018.03.073
49. Source contributions of surface ozone in China using an adjoint sensitivity analysis M. Wang et al. 10.1016/j.scitotenv.2019.01.116
50. Four-Month Changes in Air Quality during and after the COVID-19 Lockdown in Six Megacities in China Y. Wang et al. 10.1021/acs.estlett.0c00605
51. Is atmospheric oxidation capacity better in indicating tropospheric O3 formation? P. Wang et al. 10.1007/s11783-022-1544-5
52. Using Costs and Health Benefits to Estimate the Priority of Air Pollution Control Action Plan: A Case Study in Taiwan H. Lai et al. 10.3390/app10175970
53. Ambient Volatile Organic Compound Characterization, Source Apportionment, and Risk Assessment in Three Megacities of China in 2019 Z. Wang et al. 10.3390/toxics11080651
54. Optimization of a NOx and VOC Cooperative Control Strategy Based on Clean Air Benefits D. Ding et al. 10.1021/acs.est.1c04201
55. A new statistical approach for establishing high-resolution emission inventory of primary gaseous air pollutants Y. Zhou et al. 10.1016/j.atmosenv.2014.05.047
56. Tri-clustering–based exploration of spatio-temporal heterogeneity of six criteria air pollutants and their relationships in China X. Wu 10.3389/feart.2022.951510
57. Evaluating a Space‐Based Indicator of Surface Ozone‐NOx‐VOC Sensitivity Over Midlatitude Source Regions and Application to Decadal Trends X. Jin et al. 10.1002/2017JD026720
58. Extending Ozone‐Precursor Relationships in China From Peak Concentration to Peak Time H. Qu et al. 10.1029/2020JD033670
59. Deep Learning for Prediction of the Air Quality Response to Emission Changes J. Xing et al. 10.1021/acs.est.0c02923
60. Characterizing sources and ozone formations of summertime volatile organic compounds observed in a medium-sized city in Yangtze River Delta region W. Wang et al. 10.1016/j.chemosphere.2023.138609
61. Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations W. Wang et al. 10.5194/acp-21-7253-2021
62. Biogenic emissions-related ozone enhancement in two major city clusters during a typical typhoon process J. Xu et al. 10.1016/j.apgeochem.2023.105634
63. Spatiotemporal assessment of health burden and economic losses attributable to short-term exposure to ground-level ozone during 2015–2018 in China Z. Zhang et al. 10.1186/s12889-021-10751-7
64. Ambient volatile organic compounds in tropical environments: Potential sources, composition and impacts – A review N. Mohd Hanif et al. 10.1016/j.chemosphere.2021.131355
65. Accurate prediction of air quality response to emissions for effective control policy design M. Cao et al. 10.1016/j.jes.2022.02.009
66. Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: a response modeling study J. Xing et al. 10.5194/acp-20-14347-2020
67. Compound environmental impact of urban mitigation strategies: Co-benefits, trade-offs, and unintended consequence Z. Wang 10.1016/j.scs.2021.103284
68. Impact Assessment of Ammonia Emissions on Inorganic Aerosols in East China Using Response Surface Modeling Technique S. Wang et al. 10.1021/es2022347
69. Response of fine particulate matter and ozone to precursors emission reduction in the Yangtze River Delta andits policy implications Z. Dong et al. 10.1360/TB-2021-0615
70. Characterization and sources of volatile organic compounds (VOCs) and their related changes during ozone pollution days in 2016 in Beijing, China Y. Liu et al. 10.1016/j.envpol.2019.113599
71. Development and case study of a science-based software platform to support policy making on air quality Y. Zhu et al. 10.1016/j.jes.2014.08.016
72. Co-benefits of regionally-differentiated carbon pricing policies across China W. Zhang et al. 10.1080/14693062.2022.2119198
73. Seasonal source contributions of tropospheric ozone over East Asia based on CMAQ–HDDM S. Itahashi et al. 10.1016/j.atmosenv.2013.01.026
74. Impacts of uncertainty in AVOC emissions on the summer ROx budget and ozone production rate in the three most rapidly-developing economic growth regions of China F. Wang et al. 10.1007/s00376-014-3251-z
75. Quantifying Nonlinear Multiregional Contributions to Ozone and Fine Particles Using an Updated Response Surface Modeling Technique J. Xing et al. 10.1021/acs.est.7b01975
76. Cropland nitrogen dioxide emissions and effects on the ozone pollution in the North China plain R. Wang et al. 10.1016/j.envpol.2021.118617
77. Impacts of land use and land cover change on regional meteorology and air quality over the Beijing-Tianjin-Hebei region, China H. Tao et al. 10.1016/j.atmosenv.2018.06.033
78. Response surface model based emission source contribution and meteorological pattern analysis in ozone polluted days Y. Chen et al. 10.1016/j.envpol.2022.119459
79. A modeling study of the nonlinear response of fine particles to air pollutant emissions in the Beijing–Tianjin–Hebei region B. Zhao et al. 10.5194/acp-17-12031-2017
80. Study of the meteorological influence on ozone in urban areas and their use in assessing ozone trends in all seasons from 2009 to 2015 in Tianjin, China J. Yang et al. 10.1007/s00703-019-00664-x
81. Unveiling the spatial and sectoral characteristics of a high-resolution emission inventory of CO2 and air pollutants in China Y. Gao et al. 10.1016/j.scitotenv.2022.157623
82. Response surface modeling-based source contribution analysis and VOC emission control policy assessment in a typical ozone-polluted urban Shunde, China Z. You et al. 10.1016/j.jes.2016.05.034
83. Photo-chemical transport modelling of tropospheric ozone: A review S. Sharma et al. 10.1016/j.atmosenv.2017.03.047
84. Observations of the vertical distributions of summertime atmospheric pollutants and the corresponding ozone production in Shanghai, China C. Xing et al. 10.5194/acp-17-14275-2017
85. Ground-level ozone in urban Beijing over a 1-year period: Temporal variations and relationship to atmospheric oxidation Z. Wang et al. 10.1016/j.atmosres.2015.05.005
86. Contribution of Particulate Nitrate Photolysis to Heterogeneous Sulfate Formation for Winter Haze in China H. Zheng et al. 10.1021/acs.estlett.0c00368
87. A review of surface ozone source apportionment in China H. LIU et al. 10.1080/16742834.2020.1768025
88. Effectiveness of emission control in sensitive emission regions associated with local atmospheric circulation in O3 pollution reduction: A case study in the Beijing-Tianjin-Hebei region J. Xu et al. 10.1016/j.atmosenv.2021.118840
89. Progress of Air Pollution Control in China and Its Challenges and Opportunities in the Ecological Civilization Era X. Lu et al. 10.1016/j.eng.2020.03.014
90. Source Apportionment of Regional Ozone Pollution Observed at Mount Tai, North China: Application of Lagrangian Photochemical Trajectory Model and Implications for Control Policy Y. Zhang et al. 10.1029/2020JD033519
91. The relationship between the intensified heat waves and deteriorated summertime ozone pollution in the Beijing–Tianjin–Hebei region, China, during 2013–2017 R. Wang et al. 10.1016/j.envpol.2022.120256
92. Developing China's roadmap for air quality improvement: A review on technology development and future prospects Y. Feng et al. 10.1016/j.jes.2022.10.028
93. 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
94. Model analysis of meteorology and emission impacts on springtime surface ozone in Shandong J. Li et al. 10.1016/j.scitotenv.2020.144784
95. Modeling Ground Ozone Concentration Changes after Variations in Precursor Emissions and Assessing Their Benefits in the Kanto Region of Japan J. Vazquez Santiago et al. 10.3390/atmos13081187
96. Bayesian Analysis of a Reduced-Form Air Quality Model K. Foley et al. 10.1021/es300666e
97. VOCs emission rate estimate for complicated industrial area source using an inverse-dispersion calculation method: A case study on a petroleum refinery in Northern China W. Wei et al. 10.1016/j.envpol.2016.07.062
98. Spatial and temporal variability of ozone sensitivity over China observed from the Ozone Monitoring Instrument X. Jin & T. Holloway 10.1002/2015JD023250
99. Assessing local emission for air pollution via data experiments Y. Zhu et al. 10.1016/j.atmosenv.2021.118323
100. Substantial ozone enhancement over the North China Plain from increased biogenic emissions due to heat waves and land cover in summer 2017 M. Ma et al. 10.5194/acp-19-12195-2019
101. Sensitivity and linearity analysis of ozone in East Asia: The effects of domestic emission and intercontinental transport J. Fu et al. 10.1080/10962247.2012.699014
102. Quantitative Assessment on Contributions of Foreign NOx and VOC Emission to Ozone Concentrations over Gwangyang Bay with CMAQ-HDDM Simulations C. Bae et al. 10.5572/KOSAE.2018.34.5.708
103. Improved provincial emission inventory and speciation profiles of anthropogenic non-methane volatile organic compounds: a case study for Jiangsu, China Y. Zhao et al. 10.5194/acp-17-7733-2017
104. Characteristics and sources of VOCs in urban and suburban environments in Shanghai, China, during the 2016 G20 summit S. Zheng et al. 10.1016/j.apr.2019.07.008
105. Digital mapping of soil weathering using field geophysical sensor data coupled with covariates and machine learning D. Mello et al. 10.1016/j.jsames.2023.104449
106. Development of a CMAQ–PMF-based composite index for prescribing an effective ozone abatement strategy: a case study of sensitivity of surface ozone to precursor volatile organic compound species in southern Taiwan J. Chang et al. 10.5194/acp-23-6357-2023
107. Impacts of Meteorological Conditions on Autumn Surface Ozone During 2014–2020 in the Pearl River Delta, China J. Xu et al. 10.1029/2022EA002742
108. Source apportionment of surface ozone in the Yangtze River Delta, China in the summer of 2013 L. Li et al. 10.1016/j.atmosenv.2016.08.076
109. Ozone response modeling to NOx and VOC emissions: Examining machine learning models C. Kuo & J. Fu 10.1016/j.envint.2023.107969
110. Impacts of Receiving International Industrial Transfer on China’s Air Quality and Health Exceed Those of Export Trade L. Liu et al. 10.1021/acs.est.3c04041
111. Multiple Machine Learning Algorithms and Pedoenvironmental Attributes Applied in Geophysical Surveys D. Mello et al. 10.2139/ssrn.3991690
112. Characteristics and source profiles of atmospheric volatile organic compounds (VOCs) in the heavy industrial province of Northeast China with cruise monitoring Y. Shang et al. 10.3389/fenvs.2022.1055886
113. Investigating the Sources of Formaldehyde and Corresponding Photochemical Indications at a Suburb Site in Shanghai From MAX‐DOAS Measurements S. Zhang et al. 10.1029/2020JD033351
114. The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2 B. Murphy et al. 10.5194/gmd-14-3407-2021
115. The acidity of atmospheric particles and clouds H. Pye et al. 10.5194/acp-20-4809-2020
116. Exploring the Change in PM2.5 and Ozone Concentrations Caused by Aerosol–Radiation Interactions and Aerosol–Cloud Interactions and the Relationship with Meteorological Factors X. Zhang et al. 10.3390/atmos12121585
117. Overview on the spatial–temporal characteristics of the ozone formation regime in China H. Lu et al. 10.1039/C9EM00098D
118. Mimicking atmospheric photochemical modeling with a deep neural network J. Xing et al. 10.1016/j.atmosres.2021.105919
119. Air Quality Response Modeling for Decision Support D. Cohan & S. Napelenok 10.3390/atmos2030407
120. Impacts of Chemical and Synoptic Processes on Summer Tropospheric Ozone Trend in North China L. Zhou et al. 10.1155/2019/3148432
121. Estimating health co-benefits of greenhouse gas reduction strategies with a simplified energy balance based model: The Suzhou City case M. Liu et al. 10.1016/j.jclepro.2016.10.137
122. Changes in Ozone Chemical Sensitivity in the United States from 2007 to 2016 S. Koplitz et al. 10.1021/acsenvironau.1c00029
123. Ambient Ozone Control in a Photochemically Active Region: Short-Term Despiking or Long-Term Attainment? J. Ou et al. 10.1021/acs.est.6b00345
124. Real-time source contribution analysis of ambient ozone using an enhanced meta-modeling approach over the Pearl River Delta Region of China T. Fang et al. 10.1016/j.jenvman.2020.110650
125. Emission Characteristics and the Environmental Impact of VOCs from Typical FRP Manufacture Industry R. Hao et al. 10.3390/atmos13081274
126. Evolution and variations of atmospheric VOCs and O3 photochemistry during a summer O3 event in a county-level city, Southern China Y. Liu et al. 10.1016/j.atmosenv.2022.118942
127. 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. 10.1016/j.envpol.2021.117899
128. Synergetic PM2.5 and O3 control strategy for the Yangtze River Delta, China Z. Dong et al. 10.1016/j.jes.2022.04.008
129. Spatiotemporal characteristics of ozone and the formation sensitivity over the Fenwei Plain H. Ren et al. 10.1016/j.scitotenv.2023.163369
130. Traffic control oriented impact on the persistence of urban air pollutants: A causeway bay revelation during emergency period W. Pan et al. 10.1016/j.trd.2017.02.001
131. Simulation of the impact of the emergency control measures on the reduction of air pollutants: a case study of APEC blue P. Tong et al. 10.1007/s10661-019-8056-1
132. Air quality and health benefits from ultra-low emission control policy indicated by continuous emission monitoring: a case study in the Yangtze River Delta region, China Y. Zhang et al. 10.5194/acp-21-6411-2021
133. Impacts of Agricultural Soil NOx Emissions on O3 Over Mainland China Y. Shen et al. 10.1029/2022JD037986
134. Characterization, source apportionment, and risk assessment of ambient volatile organic compounds in urban and background regions of Hainan Island, China W. Xu et al. 10.1016/j.atmosenv.2023.120167
135. Simulation of surface ozone over Hebei province, China using Kolmogorov-Zurbenko and artificial neural network (KZ-ANN) combined model S. Gao et al. 10.1016/j.atmosenv.2021.118599
136. Aggravating O3 pollution due to NOx emission control in eastern China N. Wang et al. 10.1016/j.scitotenv.2019.04.388
137. Statistical significance of PM2.5 and O3 trends in China under long-term memory effects P. Yu et al. 10.1016/j.scitotenv.2023.164598
138. Evolution of Ozone Formation Sensitivity during a Persistent Regional Ozone Episode in Northeastern China and Its Implication for a Control Strategy Y. Zhang et al. 10.1021/acs.est.3c03884
139. The effects of energy paths and emission controls and standards on future trends in China's emissions of primary air pollutants Y. Zhao et al. 10.5194/acp-14-8849-2014
140. VOC emission caps constrained by air quality targets based on response surface model: A case study in the Pearl River Delta Region, China Y. Hu et al. 10.1016/j.jes.2022.09.004
141. Contribution of anthropogenic emission changes to the evolution of PM2.5 concentrations and composition in the Pearl River Delta during the period of 2006–2020 J. Zhang et al. 10.1016/j.atmosenv.2023.120228
142. Development and application of observable response indicators for design of an effective ozone and fine-particle pollution control strategy in China J. Xing et al. 10.5194/acp-19-13627-2019
143. Air quality management in China: Issues, challenges, and options S. Wang & J. Hao 10.1016/S1001-0742(11)60724-9
144. Chemical weathering detection in the periglacial landscapes of Maritime Antarctica: New approach using geophysical sensors, topographic variables and machine learning algorithms D. de Mello et al. 10.1016/j.geoderma.2023.116615
145. Response Surface Model Based Emission Source Contribution and Meteorological Pattern Analysis in Ozone Polluted Days Y. Chen et al. 10.2139/ssrn.4045860
146. Mechanisms and Pathways for Coordinated Control of Fine Particulate Matter and Ozone N. Ojha et al. 10.1007/s40726-022-00229-4
147. Underestimated benefits of NOx control in reducing SNA and O3 based on missing heterogeneous HONO sources S. Zhang et al. 10.1007/s11783-024-1790-y
148. Impacts of terrestrial vegetation on surface ozone in China: from present to carbon neutrality Y. Lei et al. 10.1088/1748-9326/ad281f
149. Modeling study of impacts on surface ozone of regional transport and emissions reductions over North China Plain in summer 2015 X. Han et al. 10.5194/acp-18-12207-2018
150. A comprehensive study on ozone pollution in a megacity in North China Plain during summertime: Observations, source attributions and ozone sensitivity J. Sun et al. 10.1016/j.envint.2020.106279
151. Co-benefits of subnationally differentiated carbon pricing policies in China: Alleviation of heavy PM2.5 pollution and improvement in environmental equity W. Zhang et al. 10.1016/j.enpol.2020.112060
152. Surface O3 temporal variation, photolysis and accumulation in urban Tunis (North Africa) during January to December, 2016: influence of meteorology and chemical precursors F. Sellami & C. Azri 10.1007/s11869-023-01413-1
153. Control of fine particulate nitrate during severe winter haze in “2+26” cities C. Qin et al. 10.1016/j.jes.2022.12.016
154. China’s air pollution reduction efforts may result in an increase in surface ozone levels in highly polluted areas A. Anger et al. 10.1007/s13280-015-0700-6
155. Predicting the Nonlinear Response of PM2.5 and Ozone to Precursor Emission Changes with a Response Surface Model J. Kelly et al. 10.3390/atmos12081044
156. Exploring formation mechanism and source attribution of ozone during the 2019 Wuhan Military World Games: Implications for ozone control strategies L. Zhang et al. 10.1016/j.jes.2022.12.009
157. An acid rain–friendly NH3 control strategy to maximize benefits toward human health and nitrogen deposition Z. Dong et al. 10.1016/j.scitotenv.2022.160116
158. Changes in atmospheric composition during the 2014 APEC conference in Beijing Z. Wang et al. 10.1002/2015JD023652
159. Ozone source apportionment over the Yangtze River Delta region, China: Investigation of regional transport, sectoral contributions and seasonal differences L. Li et al. 10.1016/j.atmosenv.2019.01.028
160. Relationship between summertime concurring PM2.5 and O3 pollution and boundary layer height differs between Beijing and Shanghai, China Y. Miao et al. 10.1016/j.envpol.2020.115775
161. One-year spatiotemporal variations of air pollutants in a major chemical-industry park in the Yangtze River Delta, China by 30 miniature air quality monitoring stations X. Pang et al. 10.3389/fenvs.2022.1026842
162. Air Quality and Health Cobenefits of Different Deep Decarbonization Pathways in California B. Zhao et al. 10.1021/acs.est.9b02385
163. Deep learning based emulator for simulating CMAQ surface NO2 levels over the CONUS A. Salman et al. 10.1016/j.atmosenv.2023.120192
164. City-specific vehicle emission control strategies to achieve stringent emission reduction targets in China's Yangtze River Delta region S. Zhang et al. 10.1016/j.jes.2016.06.038
165. Extreme Emission Reduction Requirements for China to Achieve World Health Organization Global Air Quality Guidelines Y. Jiang et al. 10.1021/acs.est.2c09164
166. Sensitivity of summer ozone to precursor emission change over Beijing during 2010–2015: A WRF-Chem modeling study W. Wei et al. 10.1016/j.atmosenv.2019.116984
167. Response of Summer Ozone to Precursor Emission Controls in the Yangtze River Delta Region Y. Mao et al. 10.3389/fenvs.2022.864897
168. Source and sectoral contribution analysis of PM2.5 based on efficient response surface modeling technique over Pearl River Delta Region of China Y. Pan et al. 10.1016/j.scitotenv.2020.139655
169. Factors determining the seasonal variation of ozone air quality in South Korea: Regional background versus domestic emission contributions H. Lee & R. Park 10.1016/j.envpol.2022.119645
170. Emission source-based ozone isopleth and isosurface diagrams and their significance in ozone pollution control strategies H. Luo et al. 10.1016/j.jes.2020.12.033
171. Comparison of Ozone and PM2.5 Concentrations over Urban, Suburban, and Background Sites in China L. Gao et al. 10.1007/s00376-020-0054-2
172. Development of a response surface model of aviation's air quality impacts in the United States A. Ashok et al. 10.1016/j.atmosenv.2013.05.023
173. Impact of energy structure adjustment on air quality: a case study in Beijing, China B. Zhao et al. 10.1007/s11783-011-0357-8