48 citations as recorded by crossref.

1. Impact of urban heat island on meteorology and air quality at microenvironments G. Swamy et al. 10.1080/10962247.2020.1783390
2. City-level air quality improvement in the Beijing-Tianjin-Hebei region from 2016/17 to 2017/18 heating seasons: Attributions and process analysis Y. Zhang et al. 10.1016/j.envpol.2021.116523
3. Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region, China X. Zhang et al. 10.1016/j.jes.2021.08.030
4. Links between the optical properties and chemical compositions of brown carbon chromophores in different environments: Contributions and formation of functionalized aromatic compounds X. Li et al. 10.1016/j.scitotenv.2021.147418
5. Effects of atmospheric circulations on the interannual variation in PM<sub>2.5</sub> concentrations over the Beijing–Tianjin–Hebei region in 2013–2018 X. Wang & R. Zhang 10.5194/acp-20-7667-2020
6. Air quality improvement in response to intensified control strategies in Beijing during 2013–2019 W. Li et al. 10.1016/j.scitotenv.2020.140776
7. Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017 H. Yu et al. 10.5194/acp-20-139-2020
8. Using highly time-resolved online mass spectrometry to examine biogenic and anthropogenic contributions to organic aerosol in Beijing A. Mehra et al. 10.1039/D0FD00080A
9. Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis R. Li et al. 10.5194/acp-21-15631-2021
10. Estimating the impact of ground ozone concentrations on crop yields across China from 2014 to 2018: A multi-model comparison M. Xu et al. 10.1016/j.envpol.2021.117099
11. Significant changes in autumn and winter aerosol composition and sources in Beijing from 2012 to 2018: Effects of clean air actions J. Li et al. 10.1016/j.envpol.2020.115855
12. A Multi‐Dimensional Decomposition Method of the Meteorology‐Driven and Emission‐Driven Effects on Year‐to‐Year Air Quality Variations Y. Song et al. 10.1029/2020EA001424
13. Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability Z. Wang et al. 10.1016/j.isprsjprs.2022.03.002
14. Ground ozone variations at an urban and a rural station in Beijing from 2006 to 2017: Trend, meteorological influences and formation regimes N. Cheng et al. 10.1016/j.jclepro.2019.06.204
15. Meteorological influences on PM2.5 and O3 trends and associated health burden since China's clean air actions L. Chen et al. 10.1016/j.scitotenv.2020.140837
16. Characteristics of PM2.5 Pollution with Comparative Analysis of O3 in Autumn–Winter Seasons of Xingtai, China H. Wang et al. 10.3390/atmos12050569
17. Meteorology impact on PM<sub>2.5</sub> change over a receptor region in the regional transport of air pollutants: observational study of recent emission reductions in central China X. Sun et al. 10.5194/acp-22-3579-2022
18. Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences K. Li et al. 10.5194/acp-20-11423-2020
19. Revealing the driving effect of emissions and meteorology on PM2.5 and O3 trends through a new algorithmic model D. Wang et al. 10.1016/j.chemosphere.2022.133756
20. Variations and drivers of aerosol vertical characterization after clean air policy in China based on 7-years consecutive observations X. Chen et al. 10.1016/j.jes.2022.02.036
21. Long-term trends of ambient nitrate (NO<sub>3</sub><sup>−</sup>) concentrations across China based on ensemble machine-learning models R. Li et al. 10.5194/essd-13-2147-2021
22. Spatial Disparity of Meteorological Impacts on Carbon Monoxide Pollution in China during the COVID-19 Lockdown Period J. Lin et al. 10.1021/acsearthspacechem.1c00251
23. Significant changes in the chemical compositions and sources of PM2.5 in Wuhan since the city lockdown as COVID-19 H. Zheng et al. 10.1016/j.scitotenv.2020.140000
24. Spatiotemporal variations and connections of single and multiple meteorological factors on PM2.5 concentrations in Xi'an, China X. Zhang et al. 10.1016/j.atmosenv.2022.119015
25. An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period Y. Song et al. 10.1016/j.atmosenv.2021.118270
26. How human mega-events influence urban airborne PM2.5 pollution: A systematic review and meta-analysis S. Li et al. 10.1016/j.envpol.2021.117009
27. Analysis of the meteorological impact on PM2.5 pollution in Changchun based on KZ filter and WRF-CMAQ C. Fang et al. 10.1016/j.atmosenv.2021.118924
28. Contributions of extremely unfavorable meteorology and coal-heating boiler control to air quality in December 2019 over Harbin, China D. Fu et al. 10.1016/j.apr.2021.101217
29. Photochemical aging of Beijing urban PM2.5: Production of oxygenated volatile organic compounds H. Xia et al. 10.1016/j.scitotenv.2020.140751
30. Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index S. Gong et al. 10.5194/acp-21-2999-2021
31. Decomposing PM2.5 air pollution rebounds in Northern China before COVID-19 C. Dong et al. 10.1007/s11356-021-17889-2
32. Causation inference in complicated atmospheric environment Z. Chen et al. 10.1016/j.envpol.2022.119057
33. Climate Change Policies and the Carbon Tax Effect on Meat and Dairy Industries in Brazil A. Alvim & E. Sanguinet 10.3390/su13169026
34. Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China Y. Xue et al. 10.3390/atmos11020189
35. Characteristics and Source Apportionment of PM2.5 and O3 during Winter of 2013 and 2018 in Beijing Y. Zhong et al. 10.3390/atmos11121324
36. Responses of surface O3 and PM2.5 trends to changes of anthropogenic emissions in summer over Beijing during 2014–2019: A study based on multiple linear regression and WRF-Chem Z. He et al. 10.1016/j.scitotenv.2021.150792
37. Revealing Drivers of Haze Pollution by Explainable Machine Learning L. Hou et al. 10.1021/acs.estlett.1c00865
38. Increasing surface ozone and enhanced secondary organic carbon formation at a city junction site: An epitome of the Yangtze River Delta, China (2014–2017) Y. Liu et al. 10.1016/j.envpol.2020.114847
39. Aggravation effect of regional transport on wintertime PM2.5 over the middle reaches of the Yangtze River under China's air pollutant emission reduction process Y. Bai et al. 10.1016/j.apr.2021.101111
40. Estimating the mortality burden attributable to temperature and PM2.5 from the perspective of atmospheric flow L. Han et al. 10.1088/1748-9326/abc8b9
41. Evaluation of continuous emission reduction effect on PM2.5 pollution improvement through 2013–2018 in Beijing X. Wang et al. 10.1016/j.apr.2021.101055
42. Source profiles and emission factors of organic and inorganic species in fine particles emitted from the ultra-low emission power plant and typical industries X. Zeng et al. 10.1016/j.scitotenv.2021.147966
43. Assessment of the emission mitigation effect on the wintertime air quality in the Guanzhong Basin, China from 2013 to 2017 J. Liu et al. 10.1016/j.apr.2021.101196
44. Projection of weather potential for winter haze episodes in Beijing by 1.5 °C and 2.0 °C global warming L. Qiu et al. 10.1016/j.accre.2020.09.002
45. Meteorological Influences on Spatiotemporal Variation of PM2.5 Concentrations in Atmospheric Pollution Transmission Channel Cities of the Beijing–Tianjin–Hebei Region, China S. Wang et al. 10.3390/ijerph19031607
46. Wavelet periodic and compositional characteristics of atmospheric PM2.5 in a typical air pollution event at Jinzhong city, China Y. Dong et al. 10.1016/j.apr.2020.09.013
47. Fine particulate matter (PM<sub>2.5</sub>) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology S. Zhai et al. 10.5194/acp-19-11031-2019
48. Effects of air pollution control policies on PM<sub>2.5</sub> pollution improvement in China from 2005 to 2017: a satellite-based perspective Z. Ma et al. 10.5194/acp-19-6861-2019