178 citations as recorded by crossref.

1. Spatiotemporal patterns of remotely sensed PM 2.5 concentration in China from 1999 to 2011 J. Peng et al. 10.1016/j.rse.2015.12.008
2. The air we breathe: An In-depth analysis of PM2.5 pollution in 1312 cities from 2000 to 2020 Q. Zhou et al. 10.1007/s11356-023-29043-1
3. Spatio–Temporal Relationship and Evolvement of Socioeconomic Factors and PM2.5 in China During 1998–2016 Y. Yang et al. 10.3390/ijerph16071149
4. Cause and predictability for the severe haze pollution in downtown Beijing in November–December 2015 Z. Zhang et al. 10.1016/j.scitotenv.2017.03.009
5. Regional transport patterns for heavy PM2.5 pollution driven by strong cold airflows in Twain-Hu Basin, Central China L. Shen et al. 10.1016/j.atmosenv.2021.118847
6. Burden of cardiovascular diseases associated with fine particulate matter in Beijing, China: an economic modelling study Y. Jiang et al. 10.1136/bmjgh-2020-003160
7. Application of Stable Isotope Techniques in Tracing the Sources of Atmospheric NOX and Nitrate S. Zhen et al. 10.3390/pr10122549
8. Dominant role of emission reduction in PM<sub>2.5</sub> air quality improvement in Beijing during 2013–2017: a model-based decomposition analysis J. Cheng et al. 10.5194/acp-19-6125-2019
9. Characteristics and sources of aerosol pollution at a polluted rural site southwest in Beijing, China Y. Hua et al. 10.1016/j.scitotenv.2018.01.047
10. Impact of COVID-19 emission reduction on dust aerosols and marine chlorophyll-a concentration Y. Li et al. 10.1016/j.scitotenv.2024.170493
11. Elucidating roles of near-surface vertical layer structure in different stages of PM2.5 pollution episodes over urban Beijing during 2004–2016 S. Fan et al. 10.1016/j.atmosenv.2020.118157
12. Impacts of AOD Correction and Spatial Scale on the Correlation between High-Resolution AOD from Gaofen-1 Satellite and In Situ PM2.5 Measurements in Shenzhen City, China J. Wu et al. 10.3390/rs11192223
13. Premature mortality attributable to PM2.5 exposure and future policy roadmap for ‘airpocalypse’ affected Asian megacities K. Maji et al. 10.1016/j.psep.2018.07.009
14. Spatial-temporal variability of PM2.5 air quality in Beijing, China during 2013–2018 X. Xu & T. Zhang 10.1016/j.jenvman.2020.110263
15. The health burden and economic costs averted by ambient PM 2.5 pollution reductions in Nagpur, India T. Etchie et al. 10.1016/j.envint.2017.02.010
16. Near-surface soil stabilization by enzyme-induced carbonate precipitation for fugitive dust suppression J. Song et al. 10.1007/s11440-019-00881-z
17. Predictability and Risk of Extreme Winter PM2.5 Concentration in Beijing J. Liu et al. 10.1007/s13351-023-3023-8
18. Classification of aerosols using particle linear depolarization ratio (PLDR) over seven urban locations of Asia S. Tariq et al. 10.1016/j.chemosphere.2024.141119
19. Burden of disease attributed to ambient PM2.5 and PM10 exposure in 190 cities in China K. Maji et al. 10.1007/s11356-017-8575-7
20. Fine particulate matters induce apoptosis via the ATM/P53/CDK2 and mitochondria apoptosis pathway triggered by oxidative stress in rat and GC-2spd cell J. Liu et al. 10.1016/j.ecoenv.2019.05.013
21. The gains in life expectancy by ambient PM2.5 pollution reductions in localities in Nigeria T. Etchie et al. 10.1016/j.envpol.2018.01.034
22. Understanding the Influence of Crop Residue Burning on PM2.5 and PM10 Concentrations in China from 2013 to 2017 Using MODIS Data Y. Zhuang et al. 10.3390/ijerph15071504
23. Estimated Contributions of Emissions Controls, Meteorological Factors, Population Growth, and Changes in Baseline Mortality to Reductions in Ambient PM2.5 and PM2.5-Related Mortality in China, 2013–2017 D. Ding et al. 10.1289/EHP4157
24. Winter AOD trend changes over the Eastern Mediterranean and Middle East region A. Shaheen et al. 10.1002/joc.7139
25. Estimation of surface-level PM 2.5 concentration using aerosol optical thickness through aerosol type analysis method Q. Chen et al. 10.1016/j.atmosenv.2017.03.050
26. Roles of regional transport and heterogeneous reactions in the PM2.5 increase during winter haze episodes in Beijing Q. Ma et al. 10.1016/j.scitotenv.2017.04.193
27. Analysis of chemical characteristics of PM2.5 in Beijing over a 1-year period Z. Wang et al. 10.1007/s10874-016-9334-8
28. Dry air intrusions link Rossby wave breaking to large-scale dust storms in Northwest Africa: Four extreme cases E. Fluck & S. Raveh-Rubin 10.1016/j.atmosres.2023.106663
29. Spatiotemporal Distribution of PM2.5 and O3 and Their Interaction During the Summer and Winter Seasons in Beijing, China H. Zhao et al. 10.3390/su10124519
30. Characteristics and formation mechanism of regional haze episodes in the Pearl River Delta of China W. Li et al. 10.1016/j.jes.2017.03.018
31. Aerosol-induced direct radiative forcing effects on terrestrial ecosystem carbon fluxes over China W. Xue et al. 10.1016/j.envres.2021.111464
32. East Asia dust storms in spring 2021: Transport mechanisms and impacts on China T. Yu et al. 10.1016/j.atmosres.2023.106773
33. Mapping nighttime PM2.5 from VIIRS DNB using a linear mixed-effect model D. Fu et al. 10.1016/j.atmosenv.2018.02.001
34. Intermittent turbulence contributes to vertical dispersion of PM<sub>2.5</sub> in the North China Plain: cases from Tianjin W. Wei et al. 10.5194/acp-18-12953-2018
35. Chemical characteristics and source apportionment of ambient PM1.0 and PM2.5 in a polluted city in North China plain C. Chen et al. 10.1016/j.atmosenv.2020.117867
36. Single Living yEast PM Toxicity Sensor (SLEPTor) System K. Wei et al. 10.1016/j.jaerosci.2017.02.006
37. Consistency and Discrepancy between Visibility and PM2.5 Measurements: Potential Application of Visibility Observation to Air Quality Study Y. Fei et al. 10.3390/s23020898
38. Characteristics of PM2.5 concentrations across Beijing during 2013–2015 S. Batterman et al. 10.1016/j.atmosenv.2016.08.060
39. Determinants of haze pollution: An analysis from the perspective of spatiotemporal heterogeneity F. Dong et al. 10.1016/j.jclepro.2019.03.105
40. Exposure scenario: Another important factor determining the toxic effects of PM2.5 and possible mechanisms involved W. Zhou et al. 10.1016/j.envpol.2017.04.010
41. AEROCAN, the Canadian sub-network of AERONET: Aerosol monitoring and air quality applications C. Sioris et al. 10.1016/j.atmosenv.2017.08.044
42. Measuring magnetic susceptibility of particulate matter collected on filters B. Górka-Kostrubiec et al. 10.1007/s11356-023-31416-5
43. Chemical characteristics of size-fractioned particles at a suburban site in Shijiazhuang, North China: Implication of secondary particle formation C. Wang et al. 10.1016/j.atmosres.2021.105680
44. Estimation of daily ground-level PM2.5 concentrations over the Pearl River Delta using 1 km resolution MODIS AOD based on multi-feature BiLSTM L. Miao et al. 10.1016/j.atmosenv.2022.119362
45. Statistical Perspectives on Air Emission Inventory for Considering Fine Particle Reduction Potential in Korea: Shouldn’t We Also Focus on Local and Provincial-Specific Implementations? Y. Kwon 10.1007/s11270-021-05383-x
46. Identification and characterization the sources of aerosols over Jharkhand state and surrounding areas, India using AHP model J. Bandyopadhyay et al. 10.1080/19475705.2021.1949395
47. Aerosol characterization over the North China Plain: Haze life cycle and biomass burning impacts in summer Y. Sun et al. 10.1002/2015JD024261
48. Burden of typical diseases attributed to the sources of PM2.5-bound toxic metals in Beijing: An integrated approach to source apportionment and QALYs J. Liu et al. 10.1016/j.envint.2019.105041
49. No seasonal variation in physical activity of Han Chinese living in Beijing G. Wang et al. 10.1186/s12966-017-0503-1
50. Primary PM2.5 and trace gas emissions from residential coal combustion: assessing semi-coke briquette for emission reduction in the Beijing-Tianjin-Hebei region, China J. Tian et al. 10.1016/j.atmosenv.2018.07.031
51. Optical properties of atmospheric fine particles near Beijing during the HOPE-J<sup>3</sup>A campaign X. Xu et al. 10.5194/acp-16-6421-2016
52. Estimating Spatio-Temporal Variations of PM2.5 Concentrations Using VIIRS-Derived AOD in the Guanzhong Basin, China K. Zhang et al. 10.3390/rs11222679
53. Environmental regulation and synergistic effects of PM2.5 control in China X. Li et al. 10.1016/j.jclepro.2022.130438
54. A study of aerosol properties based on observations of particulate matter from the U.S. Embassy in Beijing, China A. Mukherjee & D. Toohey 10.1002/2016EF000367
55. Spatiotemporal variations of NO2 and its driving factors in the coastal ports of China Y. Zhang et al. 10.1016/j.scitotenv.2023.162041
56. Climatological Characteristics and Aerosol Loading Trends from 2001 to 2020 Based on MODIS MAIAC Data for Tianjin, North China Plain Z. Wu et al. 10.3390/su14031072
57. A Comparison of Trace Gases and Particulate Matter over Beijing (China) and Delhi (India) S. Zheng et al. 10.1007/s11270-017-3360-2
58. Recent trends in premature mortality and health disparities attributable to ambient PM2.5 exposure in China: 2005–2017 M. Liu et al. 10.1016/j.envpol.2021.116882
59. Air pollution-induced health impacts and health economic losses in China driven by US demand exports T. Feng et al. 10.1016/j.jenvman.2022.116355
60. Characteristics of air pollutants inside and outside a primary school classroom in Beijing and respiratory health impact on children L. Zhang et al. 10.1016/j.envpol.2019.113147
61. Understand the local and regional contributions on air pollution from the view of human health impacts Y. Jiang et al. 10.1007/s11783-020-1382-2
62. Exposure and health impact evaluation based on simultaneous measurement of indoor and ambient PM2.5 in Haidian, Beijing M. Qi et al. 10.1016/j.envpol.2016.10.035
63. The effectiveness of emission control policies in regulating air pollution over coastal ports of China: Spatiotemporal variations of NO2 and SO2 Y. Zhang et al. 10.1016/j.ocecoaman.2022.106064
64. Temporal Patterns in Fine Particulate Matter Time Series in Beijing: A Calendar View J. Liu et al. 10.1038/srep32221
65. Temporal and spatial trends in air quality in Beijing Y. Tian et al. 10.1016/j.landurbplan.2019.01.006
66. Spatio-temporal patterns of air pollution in China from 2015 to 2018 and implications for health risks M. Kuerban et al. 10.1016/j.envpol.2019.113659
67. Spatial Distribution of PM2.5‐Related Premature Mortality in China S. Zheng et al. 10.1029/2021GH000532
68. 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
69. Automobile exhaust particles retention capacity assessment of two common garden plants in different seasons in the Yangtze River Delta using open-top chambers . Miao Zhou et al. 10.1016/j.envpol.2020.114560
70. Spatio-temporal modelling of the influence of climatic variables and seasonal variation on PM10 in Malaysia using multivariate regression (MVR) and GIS A. Tella et al. 10.1080/19475705.2021.1879942
71. Potential health benefits of controlling dust emissions in Beijing J. Meng et al. 10.1016/j.envpol.2016.03.021
72. Urban particulate water-soluble organic matter in winter: Size-resolved molecular characterization, role of the S-containing compounds on haze formation C. Ning et al. 10.1016/j.scitotenv.2023.162657
73. Oxidative potential and water-soluble heavy metals of size-segregated airborne particles in haze and non-haze episodes: Impact of the “Comprehensive Action Plan” in China X. Feng et al. 10.1016/j.scitotenv.2021.152774
74. Potential Approach for Single-Peak Extinction Fitting of Aerosol Profiles Based on In Situ Measurements for the Improvement of Surface PM2.5 Retrieval from Satellite AOD Product T. Lin et al. 10.3390/rs12132174
75. Estimating premature mortality attributable to PM2.5 exposure and benefit of air pollution control policies in China for 2020 K. Maji et al. 10.1016/j.scitotenv.2017.08.254
76. Dependence of columnar aerosol size distribution, optical properties, and chemical components on regional transport in Beijing S. Wang et al. 10.1016/j.atmosenv.2017.09.016
77. Numerical simulations of the effects of regional topography on haze pollution in Beijing Z. Zhang et al. 10.1038/s41598-018-23880-8
78. Case study of spring haze in Beijing: Characteristics, formation processes, secondary transition, and regional transportation H. Li et al. 10.1016/j.envpol.2018.07.001
79. Ensemble source apportionment of air pollutants and carbon dioxide based on online measurements Z. Wang et al. 10.1016/j.jclepro.2022.133468
80. Influence of Intermittent Turbulence on Air Pollution and Its Dispersion in Winter 2016/2017 over Beijing, China W. Wei et al. 10.1007/s13351-020-9128-4
81. Specific sources of health risks induced by metallic elements in PM2.5 during the wintertime in Beijing, China M. Fan et al. 10.1016/j.atmosenv.2020.118112
82. Implementing the US air quality standard for PM2.5 worldwide can prevent millions of premature deaths per year D. Giannadaki et al. 10.1186/s12940-016-0170-8
83. Contributions of trans-boundary transport to summertime air quality in Beijing, China J. Wu et al. 10.5194/acp-17-2035-2017
84. Improvement in hourly PM2.5 estimations for the Beijing-Tianjin-Hebei region by introducing an aerosol modeling product from MASINGAR Y. Zhang et al. 10.1016/j.envpol.2020.114691
85. Distribution and sources of PM2.5-bound free silica in the atmosphere of hyper-arid regions in Hotan, North-West China H. Liu et al. 10.1016/j.scitotenv.2021.152368
86. The impact of large-scale circulation on daily fine particulate matter (PM<sub>2.5</sub>) over major populated regions of China in winter Z. Jia et al. 10.5194/acp-22-6471-2022
87. Synergistic generation mechanisms of SOA and ozone from the photochemical oxidation of 1,3,5-trimethylbenzene: Influence of precursors ratio, temperature and radiation intensity H. Zhang et al. 10.1016/j.atmosres.2023.106924
88. Evaluation of impact factors on PM 2.5 based on long-term chemical components analyses in the megacity Beijing, China Y. Chen et al. 10.1016/j.chemosphere.2016.04.052
89. Population exposure to hazardous air quality due to the 2015 fires in Equatorial Asia P. Crippa et al. 10.1038/srep37074
90. Source apportionment of PM2.5 pollution in the central six districts of Beijing, China Y. Zhang et al. 10.1016/j.jclepro.2017.10.332
91. A New Method for a Side-Scattering Lidar to Retrieve the Aerosol Backscattering Coefficient Z. Wang et al. 10.1051/epjconf/202023708001
92. PM2.5 pollution-related health effects and willingness to pay for improved air quality: Evidence from China’s prefecture-level cities B. Zhang et al. 10.1016/j.jclepro.2020.122876
93. Changes in column aerosol optical depth and ground-level particulate matter concentration over East Asia J. Nam et al. 10.1007/s11869-017-0517-5
94. High Contribution of Nonfossil Sources to Submicrometer Organic Aerosols in Beijing, China Y. Zhang et al. 10.1021/acs.est.7b01517
95. Seasonal contrasting effects of PM2.5 on forest productivity in peri‑urban region of Seoul Metropolitan Area, Republic of Korea H. Lee et al. 10.1016/j.agrformet.2022.109149
96. Chemical Composition of PM2.5 and Its Impact on Inhalation Health Risk Evaluation in a City with Light Industry in Central China N. Wang et al. 10.3390/atmos11040340
97. Aerosol Health Effects from Molecular to Global Scales M. Shiraiwa et al. 10.1021/acs.est.7b04417
98. 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
99. Assessment of health burden caused by particulate matter in southern China using high-resolution satellite observation X. Lu et al. 10.1016/j.envint.2016.11.002
100. Bioaccessibility, source impact and probabilistic health risk of the toxic metals in PM2.5 based on lung fluids test and Monte Carlo simulations J. Liu et al. 10.1016/j.jclepro.2020.124667
101. An Unknown Maximum Lag‐Correlation Between Rainfall and Aerosols at 140–160 Minutes P. Alpert et al. 10.1029/2020GL089334
102. Temporal Variation and Chemical Components of Rural Ambient PM2.5 during Main Agricultural Activity Periods in the Black Soil Region of Northeast China X. Wu et al. 10.3390/atmos10090510
103. Insights into the phenomenon of an explosive growth and sharp decline in haze: A case study in Beijing W. Li et al. 10.1016/j.jes.2019.04.015
104. Machine learning-based estimation of ground-level NO2 concentrations over China Y. Chi et al. 10.1016/j.scitotenv.2021.150721
105. Evaluating of the performance of a composite wetting dust suppressant on lignite dust L. Zhou et al. 10.1016/j.powtec.2018.08.081
106. PM2.5-related health and economic loss assessment for 338 Chinese cities K. Maji et al. 10.1016/j.envint.2018.09.024
107. Source apportionment of PM2.5 in Baton Rouge, Louisiana during 2009–2014 F. Han et al. 10.1016/j.scitotenv.2017.01.189
108. Ambient PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) in rural Beijing: Unabated with enhanced temporary emission control during the 2014 APEC summit and largely aggravated after the start of wintertime heating Q. Yu et al. 10.1016/j.envpol.2018.03.079
109. Effects of Different Aerosols on the Air Pollution and Their Relationship With Meteorological Parameters in North China Plain H. Zhao et al. 10.3389/fenvs.2022.814736
110. Response of organic aerosol in Beijing to emission reductions during the XXIV Olympic Winter Games Q. Qu et al. 10.1016/j.scitotenv.2024.170033
111. Toward Understanding the Differences of PM2.5 Characteristics Among Five China Urban Cities K. Zhang et al. 10.1007/s13143-019-00125-w
112. Long-Term Trend and Seasonal Variability of Horizontal Visibility in Nigerian Troposphere M. Balarabe et al. 10.3390/atmos6101462
113. Fine particulate matter (PM2.5) trends from land surface changes and air pollution policies in China during 1980–2020 R. Yousefi et al. 10.1016/j.jenvman.2022.116847
114. Health impact and economic loss assessment of indoor PM2.5 pollution: A case during the COVID-19 lockdown period X. Zeng et al. 10.1016/j.apr.2023.101963
115. Multi-dimension apportionment of clean air “parade blue” phenomenon in Beijing Y. Xue et al. 10.1016/j.jes.2017.03.035
116. Characteristics and Sources of Water-Soluble Ions in PM2.5 in the Sichuan Basin, China Y. Chen et al. 10.3390/atmos10020078
117. Weather conditions conducive to Beijing severe haze more frequent under climate change W. Cai et al. 10.1038/nclimate3249
118. Air pollution lowers Chinese urbanites’ expressed happiness on social media S. Zheng et al. 10.1038/s41562-018-0521-2
119. Impact of diurnal variability and meteorological factors on the PM2.5 - AOD relationship: Implications for PM2.5 remote sensing J. Guo et al. 10.1016/j.envpol.2016.11.043
120. Effects of Aerosols on the Precipitation of Convective Clouds: A Case Study in the Yangtze River Delta of China C. Liu et al. 10.1029/2018JD029924
121. Impact of Urbanization on PM2.5-Related Health and Economic Loss in China 338 Cities B. Diao et al. 10.3390/ijerph17030990
122. Analysis of influential factors for the relationship between PM<sub>2.5</sub> and AOD in Beijing C. Zheng et al. 10.5194/acp-17-13473-2017
123. Ma Xing Shi Gan Decoction Attenuates PM2.5 Induced Lung Injury via Inhibiting HMGB1/TLR4/NFκB Signal Pathway in Rat Y. Fei et al. 10.3389/fphar.2019.01361
124. Highly time-resolved characterization of water-soluble inorganic ions in PM2.5 in a humid and acidic mega city in Sichuan Basin, China M. Tian et al. 10.1016/j.scitotenv.2016.12.048
125. Investigation on the vertical distribution and transportation of PM2.5 in the Beijing-Tianjin-Hebei region based on stereoscopic observation network T. Sun et al. 10.1016/j.atmosenv.2022.119511
126. Exploring the uncertainty associated with satellite-based estimates of premature mortality due to exposure to fine particulate matter B. Ford & C. Heald 10.5194/acp-16-3499-2016
127. Pollution Characteristics of Water-Soluble Inorganic Ions in PM2.5 from a Mountainous City in Southwest China Y. Huang et al. 10.3390/atmos13101713
128. Spatial and seasonal characteristics of particulate matter and gaseous pollution in China: Implications for control policy X. Ma et al. 10.1016/j.envpol.2019.02.038
129. The impacts of pollution control measures on PM2.5 reduction: Insights of chemical composition, source variation and health risk H. Zheng et al. 10.1016/j.atmosenv.2018.10.023
130. WITHDRAWN: Cause and predictability for the severe haze pollutions in downtown Beijing during November–December 2015 Z. Zhang et al. 10.1016/j.scitotenv.2016.12.070
131. Changes in the Distribution Pattern of PM2.5 Pollution over Central China L. Shen et al. 10.3390/rs13234855
132. Contrasting synoptic weather patterns between non-dust high particulate matter events and Asian dust events in Seoul, South Korea M. Jung et al. 10.1016/j.atmosenv.2019.116864
133. How does air pollution affect urban settlement of the floating population in China? New evidence from a push-pull migration analysis Z. Zhao et al. 10.1186/s12889-021-11711-x
134. Particulate matter transported from urban greening plants during precipitation events in Beijing, China M. Cai et al. 10.1016/j.envpol.2019.06.119
135. Trends in atmospheric particles and their light extinction performance between 1980 and 2015 in Beijing, China L. Guo et al. 10.1016/j.chemosphere.2018.04.071
136. Optimization of the Beijing Economy-Energy-Emissions System 2021–2035: A Scenario Simulation Analysis Based on a System Dynamics Model A. Zhu et al. 10.1177/00368504221118231
137. A spatial copula interpolation in a random field with application in air pollution data D. Thakur et al. 10.1007/s40808-022-01484-6
138. Evaluation of the MODIS C6 Aerosol Optical Depth Products over Chongqing, China G. Shi et al. 10.3390/atmos8110227
139. Interrelations between surface, boundary layer, and columnar aerosol properties derived in summer and early autumn over a continental urban site in Warsaw, Poland D. Wang et al. 10.5194/acp-19-13097-2019
140. Quantifying PM2.5 capture capability of greening trees based on leaf factors analyzing D. Liang et al. 10.1007/s11356-016-7687-9
141. Determination of n-alkanes, polycyclic aromatic hydrocarbons and hopanes in atmospheric aerosol: evaluation and comparison of thermal desorption GC-MS and solvent extraction GC-MS approaches M. Wang et al. 10.5194/amt-12-4779-2019
142. Effect of Different Pollution Parameters and Chemical Components of PM2.5 on Health of Residents of Xinxiang City, China S. Wang et al. 10.3390/ijerph18136821
143. The Regional Impact of Ecological Restoration in the Arid Steppe on Dust Reduction over the Metropolitan Area in Northeastern China C. Zhou et al. 10.1021/acs.est.0c00017
144. Synergistic effect of water-soluble species and relative humidity on morphological changes in aerosol particles in the Beijing megacity during severe pollution episodes X. Pan et al. 10.5194/acp-19-219-2019
145. Aerosol and Meteorological Parameters Associated with the Intense Dust Event of 15 April 2015 over Beijing, China S. Zheng & R. Singh 10.3390/rs10060957
146. Does Labeling Air Pollution Levels Matter? Evidence from Consumption of Respiratory Medicine in South Korea Y. Lee & N. Nakazawa 10.2139/ssrn.4103888
147. Assessment of the short-term mortality effect of the national action plan on air pollution in Beijing, China L. Han et al. 10.1088/1748-9326/ab6f13
148. Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing D. Fu et al. 10.1038/s41598-018-28535-2
149. Optimization of the Efficient Extraction of Organic Components in Atmospheric Particulate Matter by Accelerated Solvent Extraction Technique and Its Application H. Zhang et al. 10.3390/atmos13050818
150. Spatiotemporal characteristics of PM2.5 and PM10 at urban and corresponding background sites in 23 cities in China L. Xu et al. 10.1016/j.scitotenv.2017.05.048
151. Contributions of inter-city and regional transport to PM2.5 concentrations in the Beijing-Tianjin-Hebei region and its implications on regional joint air pollution control X. Chang et al. 10.1016/j.scitotenv.2018.12.474
152. Inferring Near-Surface PM2.5 Concentrations from the VIIRS Deep Blue Aerosol Product in China: A Spatiotemporally Weighted Random Forest Model W. Xue et al. 10.3390/rs13030505
153. Investigation on the relationship of droplet atomization performance and fine particle abatement during the chemical agglomeration process L. Zhou et al. 10.1016/j.fuel.2019.02.033
154. Variation characteristics of final size-segregated PM emissions from ultralow emission coal-fired power plants in China B. Wu et al. 10.1016/j.envpol.2019.113886
155. Regional transport in Beijing-Tianjin-Hebei region and its changes during 2014–2017: The impacts of meteorology and emission reduction Z. Dong et al. 10.1016/j.scitotenv.2020.139792
156. Ambient PM2.5 Human Health Effects—Findings in China and Research Directions L. Miller & X. Xu 10.3390/atmos9110424
157. Causes of an extremely low visibility event in Northeast China D. Cao et al. 10.1002/met.2199
158. Longitudinal survey of microbiome associated with particulate matter in a megacity N. Qin et al. 10.1186/s13059-020-01964-x
159. Changing weekend effects of air pollutants in Beijing under 2020 COVID-19 lockdown controls L. Wu et al. 10.1038/s42949-022-00070-0
160. Impacts of air pollution and its spatial spillover effect on public health based on China's big data sample X. Chen et al. 10.1016/j.jclepro.2016.02.119
161. Yearly changes of the sulfate-nitrate-ammonium aerosols and the relationship with their precursors from 1999 to 2016 in Beijing Y. Xie 10.1007/s11356-019-07493-w
162. The characteristics of air pollutants during different seasons in the urban area of Lanzhou, Northwest China M. Filonchyk & H. Yan 10.1007/s12665-018-7925-1
163. Chemical characterization and source identification of PM2.5 in Luoyang after the clean air actions M. Xu et al. 10.1016/j.jes.2021.06.021
164. Satellite-derived spatiotemporal PM2.5 concentrations and variations from 2006 to 2017 in China W. Xue et al. 10.1016/j.scitotenv.2019.134577
165. Importance of meteorology in air pollution events during the city lockdown for COVID-19 in Hubei Province, Central China L. Shen et al. 10.1016/j.scitotenv.2020.142227
166. The dynamics of cardiovascular and respiratory deaths attributed to long-term PM2.5 exposures in global megacities L. Zhang et al. 10.1016/j.scitotenv.2022.156951
167. Fine particulate matter pollution in North China: Seasonal-spatial variations, source apportionment, sector and regional transport contributions X. Liu et al. 10.1016/j.envres.2020.109368
168. Global topics and novel approaches in the study of air pollution, climate change and forest ecosystems P. Sicard et al. 10.1016/j.envpol.2016.01.075
169. New Technique for Aerosol Detection in Haze Day Using Side‐Scattering Lidar and Its Inversion Method Z. Wang et al. 10.1029/2019EA000866
170. The impacts of regional transport and meteorological factors on aerosol optical depth over Beijing, 1980–2014 X. Gu et al. 10.1038/s41598-018-22803-x
171. Insights into the temporal and spatial characteristics of PM2.5 transport flux across the district, city and region in the North China Plain H. Zhang et al. 10.1016/j.atmosenv.2019.117010
172. Characterization of Water-Soluble Ions in PM2.5 in Chongqing, a Megacity in Eastern Sichuan Basin, China T. Song et al. 10.12974/2311-8741.2020.08.2
173. Verification, improvement and application of aerosol optical depths in China Part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS J. Wei et al. 10.1016/j.atmosenv.2017.11.048
174. 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. 10.1016/j.scitotenv.2017.06.039
175. Satellite-based short- and long-term exposure to PM2.5 and adult mortality in urban Beijing, China F. Liang et al. 10.1016/j.envpol.2018.06.097
176. Forzamiento radiativo directo debido a los aerosoles atmosféricos en Perú utilizando técnicas de sensoramiento remoto R. Angeles Vasquez et al. 10.47797/llamkasun.v3i1.86
177. A New Model Using Multiple Feature Clustering and Neural Networks for Forecasting Hourly PM2.5 Concentrations, and Its Applications in China H. Liu et al. 10.1016/j.eng.2020.05.009
178. The influence of urban road traffic on nanoparticles: Roadside measurements I. Belkacem et al. 10.1016/j.atmosenv.2020.117786