359 citations as recorded by crossref.

1. An optimized tracer-based approach for estimating organic carbon emissions from biomass burning in Ulaanbaatar, Mongolia J. Nirmalkar et al. https://doi.org/10.5194/acp-20-3231-2020
2. Strong biomass burning contribution to ambient aerosol during heating season in a megacity in Northeast China: Effectiveness of agricultural fire bans? Y. Cheng et al. https://doi.org/10.1016/j.scitotenv.2020.142144
3. Characteristics of individual particles in a severe short-period haze episode induced by biomass burning in Beijing H. Niu et al. https://doi.org/10.1016/j.apr.2016.05.011
4. Origin and properties of soluble brown carbon in freshly emitted and aged ambient aerosols over an urban site in India C. Sarkar et al. https://doi.org/10.1016/j.envpol.2019.113077
5. Optical properties closure and sources of size-resolved aerosol in Nanjing around summer harvest period L. Yao et al. https://doi.org/10.1016/j.atmosenv.2020.118017
6. The characteristics of Beijing aerosol during two distinct episodes: Impacts of biomass burning and fireworks Y. Cheng et al. https://doi.org/10.1016/j.envpol.2013.10.037
7. Measurement report: Characterization of sugars and amino acids in atmospheric fine particulates and their relationship to local primary sources R. Zhu et al. https://doi.org/10.5194/acp-22-14019-2022
8. Source Apportionment of Elemental Carbon in Beijing, China: Insights from Radiocarbon and Organic Marker Measurements Y. Zhang et al. https://doi.org/10.1021/acs.est.5b01944
9. The evolution of open biomass burning during summer crop harvest in the North China Plain S. Li et al. https://doi.org/10.1177/03091333231187817
10. Characteristics and applications of size-segregated biomass burning tracers in China's Pearl River Delta region Z. Zhang et al. https://doi.org/10.1016/j.atmosenv.2014.12.009
11. Neutral saccharides and hemicellulose over two urban sites in Indo-Gangetic Plain and Central Europe during winter P. Rajeev et al. https://doi.org/10.1016/j.scitotenv.2023.168849
12. Molecular compositions and sources of organic aerosols at a rural site on the Guanzhong Plain, Northwest China: The importance of biomass burning Y. Liu et al. https://doi.org/10.1016/j.partic.2023.10.014
13. Influence of atmospheric ammonia on secondary inorganic aerosol formation in PM2.5 during spring 2024 in the Hongseong area, Republic of Korea J. Jang et al. https://doi.org/10.1016/j.atmosenv.2025.121363
14. Hourly Measurements of Organic Molecular Markers in Urban Shanghai, China: Primary Organic Aerosol Source Identification and Observation of Cooking Aerosol Aging Q. Wang et al. https://doi.org/10.1021/acsearthspacechem.0c00205
15. Seasonal distributions and sources of low molecular weight dicarboxylic acids, ?-oxocarboxylic acids, pyruvic acid, a-dicarbonyls and fatty acids in ambient aerosols from subtropical Okinawa in the western Pacific Rim B. Kunwar & K. Kawamura https://doi.org/10.1071/EN14097
16. Aerosol characterization over the North China Plain: Haze life cycle and biomass burning impacts in summer Y. Sun et al. https://doi.org/10.1002/2015JD024261
17. Influence of biomass burning on mixing state of sub-micron aerosol particles in the North China Plain S. Kecorius et al. https://doi.org/10.1016/j.atmosenv.2017.05.023
18. Characterization of biomass burning tracers in particulate matter at 12 sites in China: Significant increase of coal combustion emitted levoglucosan in northern China during winter J. Wang et al. https://doi.org/10.1016/j.scitotenv.2024.174520
19. Significant role of biomass burning in heavy haze formation in Nanjing, a megacity in China: molecular-level insights from intensive PM2.5 sampling on winter hazy days M. Kang et al. https://doi.org/10.5194/acp-25-73-2025
20. Response of PM2.5-bound elemental species to emission variations and associated health risk assessment during the COVID-19 pandemic in a coastal megacity G. Wang et al. https://doi.org/10.1016/j.jes.2021.10.005
21. Chemistry of Atmospheric Brown Carbon A. Laskin et al. https://doi.org/10.1021/cr5006167
22. Chemical and optical properties of carbonaceous aerosols in Nanjing, eastern China: regionally transported biomass burning contribution X. Liu et al. https://doi.org/10.5194/acp-19-11213-2019
23. Characteristics of carbonaceous aerosols: Impact of biomass burning and secondary formation in summertime in a rural area of the North China Plain L. Yao et al. https://doi.org/10.1016/j.scitotenv.2016.03.111
24. Seasonal variability and sources of brown carbon in Wuhan: Insights from Bayesian modeling and organic tracers-based source apportionment Z. Li et al. https://doi.org/10.1016/j.atmosres.2025.108736
25. In situ biomass burning enhanced the contribution of biogenic sources to sulfate aerosol in subtropical cities T. Li et al. https://doi.org/10.1016/j.scitotenv.2023.168384
26. Degradation of anhydro-saccharides and the driving factors in real atmospheric conditions: a cross-city study in China B. Zhou et al. https://doi.org/10.5194/acp-26-3589-2026
27. Origins of aerosol nitrate in Beijing during late winter through spring L. Luo et al. https://doi.org/10.1016/j.scitotenv.2018.10.306
28. Significant annual variations of firework-impacted aerosols in Northeast China: Implications for rethinking the firework bans Y. Cheng et al. https://doi.org/10.1016/j.atmosenv.2024.120914
29. Influence of meteorological factors on open biomass burning at a background site in Northeast China Y. Wang et al. https://doi.org/10.1016/j.jes.2023.02.043
30. Saccharides as Particulate Matter Tracers of Biomass Burning: A Review B. Vincenti et al. https://doi.org/10.3390/ijerph19074387
31. Primary and secondary aerosols in Beijing in winter: sources, variations and processes Y. Sun et al. https://doi.org/10.5194/acp-16-8309-2016
32. Chemical composition of PM2.5 in October 2017 Northern California wildfire plumes Y. Liang et al. https://doi.org/10.5194/acp-21-5719-2021
33. Aerosol composition and sources during high and low pollution periods in Ningbo, China J. Xu et al. https://doi.org/10.1016/j.atmosres.2016.05.006
34. Real-time chemical characterization of atmospheric particulate matter in China: A review Y. Li et al. https://doi.org/10.1016/j.atmosenv.2017.02.027
35. Substantial decreases of light absorption, concentrations and relative contributions of fossil fuel to light-absorbing carbonaceous aerosols attributed to the COVID-19 lockdown in east China Y. Lin et al. https://doi.org/10.1016/j.envpol.2021.116615
36. Source apportionment of airborne particulate matters over the Athabasca oil sands region: Inter-comparison between PMF modeling and ground-based remote sensing Z. Xing et al. https://doi.org/10.1016/j.atmosenv.2019.117103
37. Review on recent progress in observations, source identifications and countermeasures of PM2.5 C. Liang et al. https://doi.org/10.1016/j.envint.2015.10.016
38. Levoglucosan and its isomers in terrestrial sediment as a molecular markers provide direct evidence for the low-temperature fire during the mid-Holocene in the northern Shandong Peninsula of China Z. Tan et al. https://doi.org/10.1016/j.quaint.2023.05.010
39. Long-term variations in PM2.5 emission from open biomass burning in Northeast Asia derived from satellite-derived data for 2000–2013 Z. Shon https://doi.org/10.1016/j.atmosenv.2015.02.038
40. Projection of Air Pollution in Northern China in the Two RCPs Scenarios C. Dou et al. https://doi.org/10.3390/rs13163064
41. Characteristics of atmospheric organic and elemental carbon aerosols in urban Beijing, China D. Ji et al. https://doi.org/10.1016/j.atmosenv.2015.11.020
42. Impact of regionally transported biomass burning on carbonaceous aerosol characterization, contribution and degradation in Pu'er, Southwest China J. Shi et al. https://doi.org/10.1016/j.jes.2025.01.021
43. Levoglucosan as a tracer of biomass burning: Recent progress and perspectives H. Bhattarai et al. https://doi.org/10.1016/j.atmosres.2019.01.004
44. Analysis of chemical characteristics of PM2.5 in Beijing over a 1-year period Z. Wang et al. https://doi.org/10.1007/s10874-016-9334-8
45. Characterizing and sourcing ambient PM2.5 over key emission regions in China III: Carbon isotope based source apportionment of black carbon K. Yu et al. https://doi.org/10.1016/j.atmosenv.2018.01.009
46. Insights into characteristics, sources, and evolution of submicron aerosols during harvest seasons in the Yangtze River delta region, China Y. Zhang et al. https://doi.org/10.5194/acp-15-1331-2015
47. Seasonal Characteristics of Organic Carbon and Elemental Carbon in PM_2.5 in Daejeon H. Kim et al. https://doi.org/10.5572/KOSAE.2015.31.1.028
48. Chemical characteristics and sources of water-soluble organic aerosol in southwest suburb of Beijing R. Hu et al. https://doi.org/10.1016/j.jes.2020.04.004
49. Secondary organic aerosols in PM2.5 on a coastal island in southeastern China: Impact of atmospheric process and biomass burning N. Chen et al. https://doi.org/10.1016/j.atmosenv.2023.119841
50. Insights into size-segregated particulate chemistry and sources in urban environment over central Indo-Gangetic Plain N. Singh et al. https://doi.org/10.1016/j.chemosphere.2020.128030
51. Molecular composition and the impact of fuel moisture content on fresh primary organic aerosol emissions during laboratory combustion of ponderosa pine needles M. Jaoui et al. https://doi.org/10.1071/EN23013
52. Air pollution from biomass burning in India S. Tripathi et al. https://doi.org/10.1088/1748-9326/ad4a90
53. Characteristics and Sources of Hourly Trace Elements in Airborne Fine Particles in Urban Beijing, China Y. Cui et al. https://doi.org/10.1029/2019JD030881
54. Dynamic Changes of Air Particle Pollutants and Scale Regulation of Forest Landscape in a Typical High-Latitude City C. Zhai et al. https://doi.org/10.3390/land13111947
55. Aerosol chemical composition and light scattering during a winter season in Beijing J. Tao et al. https://doi.org/10.1016/j.atmosenv.2015.03.037
56. Identification of potential sources of elevated PM2.5-Hg using mercury isotopes during haze events Y. Qiu et al. https://doi.org/10.1016/j.atmosenv.2021.118203
57. Seasonal variation and size distribution of aromatic acids in urban aerosols in Beijing, China D. Liu et al. https://doi.org/10.1016/j.scitotenv.2024.176504
58. Tracing organic pollutants in particulate Matter: Source identification and implications for air quality and public health L. Mendonça da Silva et al. https://doi.org/10.1016/j.chemosphere.2025.144643
59. Anthropogenic emission controls organic aerosols at Gosan background site in the outflow from northeast Asia M. Haque et al. https://doi.org/10.1016/j.scitotenv.2023.168590
60. Wintertime Diurnal Variation in Absorption Coefficient of Brown Carbon Associated with the Molecular Marker of Levoglucosan G. Yu et al. https://doi.org/10.3390/app14104117
61. Chemical characteristics of soluble aerosols over the central Himalayas: insights into spatiotemporal variations and sources L. Tripathee et al. https://doi.org/10.1007/s11356-017-0077-0
62. Effects of Agricultural Waste Burning on PM2.5-Bound Polycyclic Aromatic Hydrocarbons, Carbonaceous Compositions, and Water-Soluble Ionic Species in the Ambient Air of Chiang-Mai, Thailand C. ChooChuay et al. https://doi.org/10.1080/10406638.2020.1750436
63. Changes in atmospheric composition during the 2014 APEC conference in Beijing Z. Wang et al. https://doi.org/10.1002/2015JD023652
64. Chemical characterization of humic-like substances (HULIS) in PM2.5 in Lanzhou, China J. Tan et al. https://doi.org/10.1016/j.scitotenv.2016.08.025
65. Biomass burning contributions to urban PM_2.5 along the coastal lines of southeastern China S. Wu et al. https://doi.org/10.3402/tellusb.v68.30666
66. Comparison of the in vitro toxicological activity of various particulate matter H. Cho et al. https://doi.org/10.1177/0748233717749694
67. Chemical composition and light absorption of carbonaceous aerosols emitted from crop residue burning: influence of combustion efficiency Y. Wang et al. https://doi.org/10.5194/acp-20-13721-2020
68. Deep Learning-Based PM2.5 Long Time-Series Prediction by Fusing Multisource Data—A Case Study of Beijing M. Niu et al. https://doi.org/10.3390/atmos14020340
69. Review of brown carbon aerosols: Recent progress and perspectives J. Yan et al. https://doi.org/10.1016/j.scitotenv.2018.04.083
70. Emission characteristics of size distribution, chemical composition and light absorption of particles from field-scale crop residue burning in Northeast China Q. Wang et al. https://doi.org/10.1016/j.scitotenv.2019.136304
71. Episode-Based Evolution Pattern Analysis of Haze Pollution: Method Development and Results from Beijing, China G. Zheng et al. https://doi.org/10.1021/acs.est.5b05593
72. Impact of Biomass Burning on Organic Carbon and PM2.5 Concentrations in South Korea: Comparison between Urban and Rural Areas J. Nirmalkar et al. https://doi.org/10.1021/acsearthspacechem.5c00039
73. Assessment of ambient aerosol sources in two important Atlantic Rain Forest hotspots in the surroundings of a megacity V. Mateus et al. https://doi.org/10.1016/j.ufug.2020.126858
74. Regional haze formation enhanced the atmospheric pollution levels in the Yangtze River Delta region, China: Implications for anthropogenic sources and secondary aerosol formation M. Haque et al. https://doi.org/10.1016/j.scitotenv.2020.138013
75. Characteristics of Ionic and Carbonaceous Constituents of PM2.5 Collected Near the Industrial Complexes and Charcoal Manufacturing Facility in Wonju, Korea S. Hong et al. https://doi.org/10.5572/KOSAE.2023.39.2.239
76. Aerosols over East and South Asia: Type Identification, Optical Properties, and Implications for Radiative Forcing Y. Liu & B. Yi https://doi.org/10.3390/rs14092058
77. The blue skies in Beijing during APEC 2014: A quantitative assessment of emission control efficiency and meteorological influence H. Liu et al. https://doi.org/10.1016/j.atmosenv.2017.08.032
78. Exploring wintertime regional haze in northeast China: role of coal and biomass burning J. Zhang et al. https://doi.org/10.5194/acp-20-5355-2020
79. Optical properties, molecular characterizations, and oxidative potentials of different polarity levels of water-soluble organic matters in winter PM2.5 in six China's megacities T. Zhang et al. https://doi.org/10.1016/j.scitotenv.2022.158600
80. Aerosol particulate matter in the Baltimore metropolitan area: Temporal variation over a six-year period D. Orozco et al. https://doi.org/10.1080/10962247.2015.1067653
81. Fresh and aged PM2.5 and their ion composition in rural and urban atmospheres of Northern Thailand in relation to source identification S. Chansuebsri et al. https://doi.org/10.1016/j.chemosphere.2021.131803
82. Significance of anthropogenic black carbon in modulating atmospheric and cloud properties through aerosol-radiation interaction during a winter-time fog-haze A. Sarkar & J. Panda https://doi.org/10.1016/j.atmosenv.2024.120720
83. Source Attributes of PM2.5 Over the Indian Himalaya Using PMF and CWT Analysis N. Choudhary et al. https://doi.org/10.1007/s12647-026-00933-2
84. Semi-continuous Measurements of Water-soluble Organic Carbon and Ionic Composition of PM2.5 in Baengnyeong Island during the 2016 KORUS-AQ (Korea-United States Air Quality Study) S. Kang et al. https://doi.org/10.5572/ajae.2020.14.3.307
85. Chemical characteristics and light-absorbing property of water-soluble organic carbon in Beijing: Biomass burning contributions C. Yan et al. https://doi.org/10.1016/j.atmosenv.2015.05.005
86. Secondary aerosol formation in winter haze over the Beijing-Tianjin-Hebei Region, China D. Shang et al. https://doi.org/10.1007/s11783-020-1326-x
87. Source apportionment of fine particulate matter in middle Indo-Gangetic Plain by coupled radiocarbon –molecular organic tracer method N. Linthoingambi Devi et al. https://doi.org/10.1016/j.apr.2024.102231
88. Identification of air pollution by macro-tracers for source apportionment B. Svedova et al. https://doi.org/10.1088/1755-1315/92/1/012065
89. Measurement report: Chemical characteristics of PM2.5 during typical biomass burning season at an agricultural site of the North China Plain L. Liang et al. https://doi.org/10.5194/acp-21-3181-2021
90. Brown carbon's emission factors and optical characteristics in household biomass burning: developing a novel algorithm for estimating the contribution of brown carbon J. Sun et al. https://doi.org/10.5194/acp-21-2329-2021
91. Nitrogen isotopic composition of free Gly in aerosols at a forest site R. Zhu et al. https://doi.org/10.1016/j.atmosenv.2019.117179
92. Hygroscopic properties of potassium chloride and its internal mixtures with organic compounds relevant to biomass burning aerosol particles B. Jing et al. https://doi.org/10.1038/srep43572
93. Saccharides in atmospheric particulate and sedimentary organic matter: Status overview and future perspectives L. Marynowski & B. Simoneit https://doi.org/10.1016/j.chemosphere.2021.132376
94. Seasonal characteristics of PM2.5 and its chemical species in the northern rural China K. Liu & J. Ren https://doi.org/10.1016/j.apr.2020.08.005
95. Chemical Characteristics of Atmospheric Aerosol at Alaknanda Valley (Srinagar) in the Central Himalaya Region, India A. Gautam et al. https://doi.org/10.1007/s41742-018-0125-8
96. Chemical compositions and the impact of sea salt in atmospheric PM1 and PM2.5 in the coastal area Y. Zhang et al. https://doi.org/10.1016/j.atmosres.2020.105323
97. Seasonal variations and source estimation of saccharides in atmospheric particulate matter in Beijing, China L. Liang et al. https://doi.org/10.1016/j.chemosphere.2016.02.002
98. Impact of crop field burning and mountains on heavy haze in the North China Plain: a case study X. Long et al. https://doi.org/10.5194/acp-16-9675-2016
99. Unveiling the shifting PM2.5 chemistry in industrial regions of Pearl River Delta, China: Rising nitrate contributions amidst emission reductions Z. Liu et al. https://doi.org/10.1016/j.jhazmat.2025.140986
100. Trends in eastern China agricultural fire emissions derived from a combination of geostationary (Himawari) and polar (VIIRS) orbiter fire radiative power products T. Zhang et al. https://doi.org/10.5194/acp-20-10687-2020
101. Spatial differences in ambient coarse and fine particles in the Monterrey metropolitan area, Mexico: Implications for source contribution Y. Mancilla et al. https://doi.org/10.1080/10962247.2018.1549121
102. Carbonaceous Aerosols in Contrasting Atmospheric Environments in Greek Cities: Evaluation of the EC-tracer Methods for Secondary Organic Carbon Estimation D. Kaskaoutis et al. https://doi.org/10.3390/atmos11020161
103. Characteristics and source apportionment of winter black carbon aerosols in two Chinese megacities of Xi’an and Hong Kong Q. Zhang et al. https://doi.org/10.1007/s11356-018-3309-z
104. Pollution characteristics and health risk assessment of polycyclic aromatic hydrocarbons and nitrated polycyclic aromatic hydrocarbons during heating season in Beijing X. Bai et al. https://doi.org/10.1016/j.jes.2022.02.047
105. Comparative analysis of chemical composition and sources of aerosol particles in urban Beijing during clear, hazy, and dusty days using single particle aerosol mass spectrometry L. Ma et al. https://doi.org/10.1016/j.jclepro.2015.04.054
106. Determination of surfactants and levoglucosan from selected vegetation by spectroscopic colorimetric method G. Xinxin et al. https://doi.org/10.1080/03067319.2015.1114110
107. Chemical source profiles of fine particles for five different sources in Delhi S. Hama et al. https://doi.org/10.1016/j.chemosphere.2021.129913
108. Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering R. Yan et al. https://doi.org/10.1016/j.eswa.2020.114513
109. Uncertainty assessment of source attribution of PM2.5 and its water-soluble organic carbon content using different biomass burning tracers in positive matrix factorization analysis — a case study in Beijing, China J. Tao et al. https://doi.org/10.1016/j.scitotenv.2015.11.057
110. Characterization of the chemical components and bioreactivity of fine particulate matter produced during crop-residue burning in China H. Chuang et al. https://doi.org/10.1016/j.envpol.2018.10.119
111. Bioavailability and regional transport of PM2.5 during heavy haze episode in typical coal city site of Fenwei Plain, China W. Liu et al. https://doi.org/10.1007/s10653-022-01310-z
112. Biomass burning emissions contaminate winter snowfalls in urban Beijing: A case study in 2012 C. You et al. https://doi.org/10.5094/APR.2015.041
113. Chemical characterization, formation mechanisms and source apportionment of PM2.5 in north Zhejiang Province: The importance of secondary formation and vehicle emission B. Kuang et al. https://doi.org/10.1016/j.scitotenv.2022.158206
114. Variations in optical properties of water- and methanol-soluble organic carbon in PM2.5 in Tianjin and Handan over the Wintertime of 2018–2020 H. Chen et al. https://doi.org/10.1016/j.atmosres.2024.107332
115. Effect of Urban Greening on Incremental PM2.5 Concentration During Peak Hours S. Wang et al. https://doi.org/10.3389/fpubh.2020.551300
116. Composition and sources of brown carbon aerosols in megacity Beijing during the winter of 2016 X. Li et al. https://doi.org/10.1016/j.atmosres.2021.105773
117. PM2.5 Chemical Compositions and Aerosol Optical Properties in Beijing during the Late Fall H. Wang et al. https://doi.org/10.3390/atmos6020164
118. Estimating and source analysis of surface PM2.5 concentration in the Beijing–Tianjin–Hebei region based on MODIS data and air trajectories Y. Wang et al. https://doi.org/10.1080/01431161.2016.1220031
119. Aerosol chemistry, transport, and climatic implications during extreme biomass burning emissions over the Indo-Gangetic Plain N. Singh et al. https://doi.org/10.5194/acp-18-14197-2018
120. Assessment of biomass burning and fossil fuel contribution to black carbon concentrations in Delhi during winter U. Dumka et al. https://doi.org/10.1016/j.atmosenv.2018.09.033
121. Analysis of levoglucosan and its isomers in atmospheric samples by ion chromatography with electrospray lithium cationisation - Triple quadrupole tandem mass spectrometry E. Sanz Rodriguez et al. https://doi.org/10.1016/j.chroma.2019.460557
122. One–year aerosol characterization study for PM2.5 and PM10 in Beijing W. Wang et al. https://doi.org/10.5094/APR.2014.064
123. Seasonal, Weekly, and Diurnal Black Carbon in Moscow Megacity Background under Impact of Urban and Regional Sources O. Popovicheva et al. https://doi.org/10.3390/atmos13040563
124. Characterization and source apportionment of oxidative potential of ambient PM 2.5 in Nanjing, a megacity of Eastern China L. Zhang et al. https://doi.org/10.1080/26395940.2023.2175728
125. Quantitative determination of the biomass-burning contribution to atmospheric carbonaceous aerosols in Daejeon, Korea, during the rice-harvest period J. Jung et al. https://doi.org/10.1016/j.atmosenv.2014.03.010
126. Brown carbon aerosols in the Indo-Gangetic Plain outflow: insights from excitation emission matrix (EEM) fluorescence spectroscopy S. Dey et al. https://doi.org/10.1039/D1EM00050K
127. Synergy of multiple drivers leading to severe winter haze pollution in a megacity in Northeast China Y. Cheng et al. https://doi.org/10.1016/j.atmosres.2022.106075
128. Chemical composition and potential sources of PM2.5 in Hanoi U. Makkonen et al. https://doi.org/10.1016/j.atmosenv.2023.119650
129. Effect of Biomass Burning, Diwali Fireworks, and Polluted Fog Events on the Oxidative Potential of Fine Ambient Particulate Matter in Delhi, India J. Puthussery et al. https://doi.org/10.1021/acs.est.2c02730
130. Light absorption by water-soluble organic carbon in atmospheric fine particles in the central Tibetan Plateau Y. Zhang et al. https://doi.org/10.1007/s11356-017-9688-8
131. Local and Regional Components of Aerosol in a Heavily Trafficked Street Canyon in Central London Derived from PMF and Cluster Analysis of Single-Particle ATOFMS Spectra C. Giorio et al. https://doi.org/10.1021/es506249z
132. Chemical characteristics and source apportionment of PM2.5 during the harvest season in eastern China's agricultural regions J. Li et al. https://doi.org/10.1016/j.atmosenv.2014.04.058
133. Source specific health risks of size-segregated particulate bound metals in an urban environment over northern India N. Singh et al. https://doi.org/10.1016/j.atmosenv.2023.120091
134. Impacts of upwind wildfire emissions on CO, CO2, and PM2.5 concentrations in Salt Lake City, Utah D. Mallia et al. https://doi.org/10.1002/2014JD022472
135. Tracers from Biomass Burning Emissions and Identification of Biomass Burning W. Li et al. https://doi.org/10.3390/atmos12111401
136. Investigation of the atmospheric boundary layer during an unexpected summertime persistent severe haze pollution period in Beijing T. Xu et al. https://doi.org/10.1007/s00703-019-00673-w
137. Organic tracers of fine aerosol particles in central Alaska: summertime composition and sources D. Deshmukh et al. https://doi.org/10.5194/acp-19-14009-2019
138. Chemical characterization and source apportionment of aerosol over mid Brahmaputra Valley, India P. Bhuyan et al. https://doi.org/10.1016/j.envpol.2017.12.009
139. Spatiotemporal distribution of marine aerosols and gaseous species over the North Pacific Ocean S. Oh et al. https://doi.org/10.1016/j.scitotenv.2025.178642
140. Size distribution and chemical composition of primary particles emitted during open biomass burning processes: Impacts on cloud condensation nuclei activation L. Chen et al. https://doi.org/10.1016/j.scitotenv.2019.03.419
141. Characterization and Seasonal Variation of PM2.5 Composition in Xi’an, Northwest China: Oxygenated and Nitrogenous Organic Aerosol Y. Shang et al. https://doi.org/10.1021/acsearthspacechem.4c00042
142. A candidate framework for PM2.5 source identification in highly industrialized urban-coastal areas V. Mateus & A. Gioda https://doi.org/10.1016/j.atmosenv.2017.05.025
143. Quantitative assessment of the impact of biomass burning episodes on surface solar radiation using machine learning technology: A case study of a pollution event in Beijing Z. Li et al. https://doi.org/10.1016/j.jastp.2023.106022
144. Black carbon characterization and source apportionment over a semi-tourist site in the central Himalayan Region, India J. Kuniyal et al. https://doi.org/10.1007/s11869-025-01727-2
145. Year-long variability of the fossil fuel and wood burning black carbon components at a rural site in southern Delhi outskirts U. Dumka et al. https://doi.org/10.1016/j.atmosres.2018.09.016
146. Unveiling the origins of Northern Thailand’s haze: comprehensive chemical characterization and source apportionment of PM2.5 using targeted molecular markers S. Saksakulkrai et al. https://doi.org/10.1016/j.jes.2025.04.040
147. Transboundary Secondary Organic Aerosol in Western Japan Indicated by the δ13C of Water-Soluble Organic Carbon and the m/z 44 Signal in Organic Aerosol Mass Spectra S. Irei et al. https://doi.org/10.1021/es405362y
148. Characterization of aerosol particles during the most polluted season (winter) in urban Chengdu (China) by single-particle analysis J. Luo et al. https://doi.org/10.1007/s11356-019-05156-4
149. Measurement report: The 4-year variability and influence of the Winter Olympics and other special events on air quality in urban Beijing during wintertime Y. Guo et al. https://doi.org/10.5194/acp-23-6663-2023
150. Geochemistry of vegetation fires using levoglucosan: a review C. You et al. https://doi.org/10.1007/s10311-025-01826-7
151. Aerosol and pollutant characteristics in Delhi during a winter research campaign U. Dumka et al. https://doi.org/10.1007/s11356-018-3885-y
152. Contributions of Open Biomass Burning and Crop Straw Burning to Air Quality: Current Research Paradigm and Future Outlooks K. Mehmood et al. https://doi.org/10.3389/fenvs.2022.852492
153. Chemical and optical characteristics of atmospheric aerosols in Beijing during the Asia-Pacific Economic Cooperation China 2014 J. Tao et al. https://doi.org/10.1016/j.atmosenv.2016.08.067
154. Regionally-Varying Combustion Sources of the January 2013 Severe Haze Events over Eastern China A. Andersson et al. https://doi.org/10.1021/es503855e
155. Source apportionment of fine organic carbon (OC) using receptor modelling at a rural site of Beijing: Insight into seasonal and diurnal variation of source contributions X. Wu et al. https://doi.org/10.1016/j.envpol.2020.115078
156. Simultaneous measurement of multiple organic tracers in fine aerosols from biomass burning and fungal spores by HPLC-MS/MS J. Xu et al. https://doi.org/10.1039/C8RA04991B
157. Biomass Burning is an Important Source of Organic Aerosols in Interior Alaska M. Haque et al. https://doi.org/10.1029/2021JD034586
158. Contributions of open crop straw burning emissions to PM 2.5 concentrations in China L. Zhang et al. https://doi.org/10.1088/1748-9326/11/1/014014
159. Size-segregated sugar composition of transported dust aerosols from Middle-East over Delhi during March 2012 S. Kumar et al. https://doi.org/10.1016/j.atmosres.2017.01.012
160. Estimation of the direct and indirect impacts of fireworks on the physicochemical characteristics of atmospheric PM10 and PM2.5 Y. Tian et al. https://doi.org/10.5194/acp-14-9469-2014
161. Impact of Siberian forest fires on the atmosphere over the Korean Peninsula during summer 2014 J. Jung et al. https://doi.org/10.5194/acp-16-6757-2016
162. Seasonal variation of urban carbonaceous aerosols in a typical city Nanjing in Yangtze River Delta, China B. Li et al. https://doi.org/10.1016/j.atmosenv.2015.01.064
163. Effect of the pollution control measures on PM2.5 during the 2015 China Victory Day Parade: Implication from water-soluble ions and sulfur isotope X. Han et al. https://doi.org/10.1016/j.envpol.2016.06.038
164. Biomass-burning derived aromatic acids in NIST standard reference material 1649b and the environmental implications S. Gao et al. https://doi.org/10.1016/j.atmosenv.2018.05.010
165. Alkanes and aliphatic carbonyl compounds in wintertime PM2.5 in Beijing, China R. Lyu et al. https://doi.org/10.1016/j.atmosenv.2019.01.023
166. Chemical Characterization of Emissions Arising from Solid Fuel Combustion—Contrasting Wood and Cow Dung Burning M. Loebel Roson et al. https://doi.org/10.1021/acsearthspacechem.1c00268
167. High Spatial Variability of Biomass Burning Emissions Observed at Three Tibetan Plateau Sites C. Zhu et al. https://doi.org/10.1029/2021EF002214
168. New insights on humic-like substances associated with wintertime urban aerosols from central and southern Europe: Size-resolved chemical characterization and optical properties A. Voliotis et al. https://doi.org/10.1016/j.atmosenv.2017.07.024
169. Size distributions of molecular markers for biogenic secondary organic aerosol in urban Beijing D. Liu et al. https://doi.org/10.1016/j.envpol.2023.121569
170. Change in characteristics of water-soluble and water-insoluble brown carbon aerosols during a large-scale biomass burning R. Satish et al. https://doi.org/10.1007/s11356-020-09388-7
171. Molecular Characterization and Seasonal Variation in Primary and Secondary Organic Aerosols in Beijing, China L. Li et al. https://doi.org/10.1029/2018JD028527
172. Source and health risk apportionment for PM2.5 collected in Sha-Lu area, Taiwan P. Tsai et al. https://doi.org/10.1016/j.apr.2020.01.013
173. Seasonal and long-term trends of sulfate, nitrate, and ammonium in PM2.5 in Beijing: implication for air pollution control X. Han et al. https://doi.org/10.1007/s11356-020-08697-1
174. PM2.5 concentrations forecasting in Beijing through deep learning with different inputs, model structures and forecast time J. Yang et al. https://doi.org/10.1016/j.apr.2021.101168
175. OM/OC Ratio of Polar and Non-Polar Organic Matter during Wintertime from Indo-Gangetic Plain: Implications to Regional-Scale Radiative Forcing P. Rajput https://doi.org/10.1007/s41810-018-0032-6
176. Spatiotemporal distribution, light absorption characteristics, and source apportionments of black and brown carbon in China N. Cao et al. https://doi.org/10.1016/j.scitotenv.2024.170796
177. Characteristics of six criteria air pollutants before, during, and after a severe air pollution episode caused by biomass burning in the southern Sichuan Basin, China Y. Zhou et al. https://doi.org/10.1016/j.atmosenv.2019.116840
178. Molecular markers of biomass burning and primary biological aerosols in urban Beijing: size distribution and seasonal variation S. Xu et al. https://doi.org/10.5194/acp-20-3623-2020
179. Estimation of Satellite-Based SO42− and NH4+ Composition of Ambient Fine Particulate Matter over China Using Chemical Transport Model Y. Si et al. https://doi.org/10.3390/rs9080817
180. New open burning policy reshaped the aerosol characteristics of agricultural fire episodes in Northeast China Y. Cheng et al. https://doi.org/10.1016/j.scitotenv.2021.152272
181. Biomass burning impacts on ambient aerosol at a background site in East China: Insights from a yearlong study L. Liang et al. https://doi.org/10.1016/j.atmosres.2019.104660
182. Two-year monitoring of indoor/outdoor PM10 at 15 sites in an urban setting. Part II: source apportionment and oxidative potential L. Massimi et al. https://doi.org/10.1016/j.uclim.2025.102466
183. Physicochemical characteristics of black carbon aerosol and its radiative impact in a polluted urban area of China Q. Wang et al. https://doi.org/10.1002/2016JD024748
184. Molecular markers for biomass burning associated with the characterization of PM2.5 and component sources during dry season haze episodes in Upper South East Asia D. Thepnuan et al. https://doi.org/10.1016/j.scitotenv.2018.12.201
185. A Multiyear Assessment of Air Quality Benefits from China’s Emerging Shale Gas Revolution: Urumqi as a Case Study W. Song et al. https://doi.org/10.1021/es5050024
186. Impacts of springtime biomass burning in the northern Southeast Asia on marine organic aerosols over the Gulf of Tonkin, China L. Zheng et al. https://doi.org/10.1016/j.envpol.2018.01.089
187. PM2.5 emissions and source profiles from open burning of crop residues H. Ni et al. https://doi.org/10.1016/j.atmosenv.2017.08.063
188. Source apportionment of carbonaceous aerosols in Beijing with radiocarbon and organic tracers: insight into the differences between urban and rural sites S. Hou et al. https://doi.org/10.5194/acp-21-8273-2021
189. Analysis of interactions of particle-associated oxidative potential sources using multilayer perceptron neural networks: A case study in Shenyang, China S. Wei et al. https://doi.org/10.1016/j.envpol.2025.126868
190. Evidence of Rural and Suburban Sources of Urban Haze Formation in China: A Case Study From the Pearl River Delta Region J. Liu et al. https://doi.org/10.1029/2017JD027952
191. Emissions of pollutant gases, fine particulate matters and their significant tracers from biomass burning in an open-system combustion chamber S. Chantara et al. https://doi.org/10.1016/j.chemosphere.2019.02.153
192. A clear north-to-south spatial gradience of chloride in marine aerosol in Chinese seas under the influence of East Asian Winter Monsoon J. Liu et al. https://doi.org/10.1016/j.scitotenv.2022.154929
193. Optical absorption characteristics of brown carbon aerosols during the KORUS-AQ campaign at an urban site S. Park et al. https://doi.org/10.1016/j.atmosres.2017.12.002
194. Source apportionment of black carbon aerosols from light absorption observation and source-oriented modeling: an implication in a coastal city in China J. Deng et al. https://doi.org/10.5194/acp-20-14419-2020
195. Pollution characteristics of bioaerosols in PM2.5 during the winter heating season in a coastal city of northern China M. Wei et al. https://doi.org/10.1007/s11356-020-09070-y
196. Bioaerosols in the coastal region of Qingdao: Community diversity, impact factors and synergistic effect T. Zhang et al. https://doi.org/10.1016/j.scitotenv.2024.170246
197. High loadings of carbonaceous aerosols from wood smoke in the atmosphere of Beijing from 2015 to 2017: Implications for energy transition policy Q. Liu et al. https://doi.org/10.1016/j.envpol.2023.123240
198. Chemical characterization of rainwater at a high-altitude site “Nainital” in the central Himalayas, India D. Bisht et al. https://doi.org/10.1007/s11356-016-8093-z
199. Spatio-temporal variation of wind influence on distribution of fine particulate matter and its precursor gases H. Karimian et al. https://doi.org/10.1016/j.apr.2018.06.005
200. Postharvest Burning of Crop Residues in Home Stoves in a Rural Site of Daejeon, Korea: Its Impact to Atmospheric Carbonaceous Aerosol J. Jung & J. Kang https://doi.org/10.3390/atmos12020257
201. An Automated Methodology for Non-targeted Compositional Analysis of Small Molecules in High Complexity Environmental Matrices Using Coupled Ultra Performance Liquid Chromatography Orbitrap Mass Spectrometry K. Pereira et al. https://doi.org/10.1021/acs.est.0c08208
202. Light absorption properties of black and brown carbon in winter over the North China Plain: Impacts of regional biomass burning X. Li et al. https://doi.org/10.1016/j.atmosenv.2022.119100
203. The characterization of ambient levoglucosan in Beijing during summertime: Dynamic variation and source contributions under strong cooking influences J. Wang et al. https://doi.org/10.1016/j.jes.2024.08.029
204. Analyses of biomass burning contribution to aerosol in Zhengzhou during wheat harvest season in 2015 H. Chen et al. https://doi.org/10.1016/j.atmosres.2018.02.025
205. The oxidative potential of particulate matter (PM) in different regions around the world and its relation to air pollution sources V. Farahani et al. https://doi.org/10.1039/D2EA00043A
206. Source apportionment of black carbon aerosols in winter across China H. Xiao et al. https://doi.org/10.1016/j.atmosenv.2023.119622
207. Chemical characteristics of water-soluble organic compounds (WSOC) in PM2.5 in Beijing, China: 2011–2012 P. Xiang et al. https://doi.org/10.1016/j.atmosres.2016.08.020
208. The important contribution of secondary formation and biomass burning to oxidized organic nitrogen (OON) in a polluted urban area: insights from in situ measurements of a chemical ionization mass spectrometer (CIMS) Y. Cai et al. https://doi.org/10.5194/acp-23-8855-2023
209. A comparison study of carbonaceous aerosols in a typical North China Plain urban atmosphere: Seasonal variability, sources and implications to haze formation S. Zhou et al. https://doi.org/10.1016/j.atmosenv.2016.11.009
210. 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. https://doi.org/10.1016/j.envpol.2020.116167
211. Characteristics, evolution, and regional differences of biomass burning particles in the Sichuan Basin, China J. Luo et al. https://doi.org/10.1016/j.jes.2019.09.015
212. Source Identification of Trace Elements in PM2.5 at a Rural Site in the North China Plain L. Liu et al. https://doi.org/10.3390/atmos11020179
213. Classifying and quantifying decadal changes in wet deposition over Southeast and East Asia using EANET, OMI, and GPCP S. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107400
214. Estimation of the Volatility and Apparent Activity Coefficient of Levoglucosan in Wood-Burning Organic Aerosols J. Zhang et al. https://doi.org/10.1021/acs.estlett.4c00608
215. Impacts of severe residential wood burning on atmospheric processing, water-soluble organic aerosol and light absorption, in an inland city of Southeastern Europe D. Kaskaoutis et al. https://doi.org/10.1016/j.atmosenv.2022.119139
216. Study of PM2.5-bound polycyclic aromatic hydrocarbons and anhydro-sugars in ambient air near two Spanish oil refineries: Covid-19 effects M. Guzmán et al. https://doi.org/10.1016/j.apr.2023.101694
217. Quantifying primary and secondary humic-like substances in urban aerosol based on emission source characterization and a source-oriented air quality model X. Li et al. https://doi.org/10.5194/acp-19-2327-2019
218. Trace elements and nutrients in wildfire plumes to the southeast of Australia M. Perron et al. https://doi.org/10.1016/j.atmosres.2022.106084
219. Ecological and human health risk assessment of heavy metals in dust affected by fireworks during the Spring Festival in Beijing H. Fu et al. https://doi.org/10.1007/s11869-020-00920-9
220. Source apportionment in PM2.5 in central Japan using positive matrix factorization focusing on small-scale local biomass burning F. Ikemori et al. https://doi.org/10.1016/j.apr.2021.01.006
221. Fossil-driven secondary inorganic PM2.5 enhancement in the North China Plain: Evidence from carbon and nitrogen isotopes S. Lim et al. https://doi.org/10.1016/j.envpol.2020.115163
222. Global classification of aerosols based on ground observations: A comparison between an empirical method and machine learning algorithms M. Awais & L. Wang https://doi.org/10.1016/j.pce.2025.104017
223. Optimizing isolation protocol of organic carbon and elemental carbon for 14C analysis using fine particulate samples J. Liu et al. https://doi.org/10.1016/j.atmosenv.2017.01.027
224. Synergy between land-sea breeze dynamics and photochemistry governs the diurnal variability of primary and secondary organic aerosols in a tropical coastal atmosphere S. Boreddy et al. https://doi.org/10.1016/j.atmosres.2026.108777
225. Chemical Characteristics and Cytotoxicity to GC-2spd(ts) Cells of PM2.5 in Nanjing Jiangbei New Area from 2015 to 2019 P. Ge et al. https://doi.org/10.3390/toxics11020092
226. Source apportionment of PM2.5 using DN-PMF in three megacities in South Korea Y. Cheong et al. https://doi.org/10.1007/s11869-024-01584-5
227. Chemical composition and seasonal variations of PM2.5 in an urban environment in Kunming, SW China: Importance of prevailing westerlies in cold season Y. Zhou et al. https://doi.org/10.1016/j.atmosenv.2020.117704
228. Impact of biomass burning on haze pollution in the Yangtze River delta, China: a case study in summer 2011 Z. Cheng et al. https://doi.org/10.5194/acp-14-4573-2014
229. Source contributions and potential source regions of size-resolved water-soluble organic carbon measured at an urban site over one year G. Yu et al. https://doi.org/10.1039/C6EM00416D
230. Humidity plays an important role in the PM 2.5 pollution in Beijing Y. Cheng et al. https://doi.org/10.1016/j.envpol.2014.11.028
231. The Significant Impact of Biomass Burning Emitted Particles on Typical Haze Pollution in Changsha, China Q. Xiao et al. https://doi.org/10.3390/toxics13080691
232. Applying land use regression model to estimate spatial variation of PM2.5 in Beijing, China J. Wu et al. https://doi.org/10.1007/s11356-014-3893-5
233. Comprehensive characterization of wintertime submicron aerosol in a Nordic town influenced by residential wood combustion, traffic and industrial sources L. Barreira et al. https://doi.org/10.1016/j.apr.2023.101835
234. Source Contributions to Brown Carbon Absorption in Toronto Air during the Wildfire Season Y. Wang et al. https://doi.org/10.1021/acsestair.5c00417
235. Review of Brown Carbon Aerosols in China: Pollution Level, Optical Properties, and Emissions Q. Wang et al. https://doi.org/10.1029/2021JD035473
236. Modeling study of the 2010 regional haze event in the North China Plain M. Gao et al. https://doi.org/10.5194/acp-16-1673-2016
237. Characterization of paddy-residue burning derived carbonaceous aerosols using dual carbon isotopes M. Devaprasad et al. https://doi.org/10.1016/j.scitotenv.2022.161044
238. A review of current knowledge concerning PM2. 5 chemical composition, aerosol optical properties and their relationships across China J. Tao et al. https://doi.org/10.5194/acp-17-9485-2017
239. UHPLC-Orbitrap mass spectrometric characterization of organic aerosol from a central European city (Mainz, Germany) and a Chinese megacity (Beijing) K. Wang et al. https://doi.org/10.1016/j.atmosenv.2018.06.036
240. Organic molecular tracers in the atmospheric aerosols from Lumbini, Nepal, in the northern Indo-Gangetic Plain: influence of biomass burning X. Wan et al. https://doi.org/10.5194/acp-17-8867-2017
241. A review of atmospheric fine particulate matters: chemical composition, source identification and their variations in Beijing Y. Ma et al. https://doi.org/10.1080/15567036.2022.2075991
242. Aerosol composition and microstructure in the smoky atmosphere of Moscow during the August 2010 extreme wildfires O. Popovicheva et al. https://doi.org/10.1134/S0001433817010091
243. Contributions of various driving factors to air pollution events: Interpretability analysis from Machine learning perspective T. Li et al. https://doi.org/10.1016/j.envint.2023.107861
244. Effects of Urban Landscape Pattern on PM2.5 Pollution—A Beijing Case Study J. Wu et al. https://doi.org/10.1371/journal.pone.0142449
245. Characteristics of fine particle explosive growth events in Beijing, China: Seasonal variation, chemical evolution pattern and formation mechanism Z. Liu et al. https://doi.org/10.1016/j.scitotenv.2019.06.068
246. Contrasts in chemical composition and oxidative potential in PM10 near flares in oil extraction and refining areas in Ecuador F. Barraza et al. https://doi.org/10.1016/j.atmosenv.2020.117302
247. Impact of biomass burning on PM2.5 and organic aerosol: Quantitative estimates and spatial distributions in four Northeast Asian sites J. Nirmalkar et al. https://doi.org/10.1016/j.atmosenv.2024.120635
248. Biomass burning tracers in rural and urban ultrafine particles in Xi'an, China C. Zhu et al. https://doi.org/10.1016/j.apr.2016.12.011
249. Night-Time Evolution and Vertical Distribution of Atmospheric Aerosols from the Largest Open Biomass Burning “Experiment” in Central Europe S. Mbengue et al. https://doi.org/10.1007/s44408-025-00089-9
250. Oxidative potential of urban PM2.5 in relation to chemical composition: Importance of fossil driven sources J. Kim et al. https://doi.org/10.1016/j.envint.2025.109424
251. Sources of total and dissolved aerosol iron at Xi’an, Northwest China: implications for solubility of aerosol iron from different sources Y. Chen et al. https://doi.org/10.1016/j.jes.2025.06.066
252. Exploring the drivers of the increased ozone production in Beijing in summertime during 2005–2016 W. Wang et al. https://doi.org/10.5194/acp-20-15617-2020
253. Australian Black summer smoke signal on Antarctic aerosol collected between New Zealand and the Ross sea E. Scalabrin et al. https://doi.org/10.1016/j.chemosphere.2024.142073
254. Primary and secondary organic aerosols in summer 2016 in Beijing R. Tang et al. https://doi.org/10.5194/acp-18-4055-2018
255. Tracing the biomass burning emissions over the Arabian Sea in winter season: Implications from the molecular distributions and relative abundances of sugar compounds P. Bikkina et al. https://doi.org/10.1016/j.scitotenv.2022.157643
256. Coarse, fine and ultrafine particles of sub-urban continental aerosols measured using an 11-stage Berner cascade impactor D. Đorđević et al. https://doi.org/10.1016/j.apr.2019.11.022
257. Tracing the Relative Significance of Primary versus Secondary Organic Aerosols from Biomass Burning Plumes over Coastal Ocean Using Sugar Compounds and Stable Carbon Isotopes S. Bikkina et al. https://doi.org/10.1021/acsearthspacechem.9b00140
258. Impacts of the 2021 Northwestern Ontario and Manitoba Wildfires on the Chemical Composition and Oxidative Potential of Airborne Particulate Matter in Montréal, Canada N. Trieu et al. https://doi.org/10.1021/acsearthspacechem.3c00319
259. Comparing levoglucosan and mannosan ratios in sediments and corresponding aerosols from recent Australian fires H. Stevens et al. https://doi.org/10.1016/j.scitotenv.2024.174068
260. Fossil and non-fossil sources of the carbonaceous component of PM2.5 in forest and urban areas J. Cha et al. https://doi.org/10.1038/s41598-023-32721-2
261. Spatial Distributions and Sources of Inorganic Chlorine in PM2.5 across China in Winter L. Luo et al. https://doi.org/10.3390/atmos10090505
262. Quantitative evaluation for the sources and aging processes of organic aerosols in urban Guangzhou: Insights from a comprehensive method of dual‑carbon isotopes and macro tracers F. Jiang et al. https://doi.org/10.1016/j.scitotenv.2023.164182
263. Relative impact of emissions controls and meteorology on air pollution mitigation associated with the Asia-Pacific Economic Cooperation (APEC) conference in Beijing, China Y. Wang et al. https://doi.org/10.1016/j.scitotenv.2016.06.215
264. Major source categories of PM2.5 oxidative potential in wintertime Beijing and surroundings based on online dithiothreitol-based field measurements R. Cheung et al. https://doi.org/10.1016/j.scitotenv.2024.172345
265. Emission characterization, environmental impact, and control measure of PM2.5 emitted from agricultural crop residue burning in China H. Zhang et al. https://doi.org/10.1016/j.jclepro.2017.02.092
266. Measurement report: Saccharide composition in atmospheric fine particulate matter during spring at the remote sites of southwest China and estimates of source contributions Z. Wang et al. https://doi.org/10.5194/acp-21-12227-2021
267. Multi-element features and trace metal sources of road sediment from a mega heavy industrial city in North China Y. Yang et al. https://doi.org/10.1016/j.chemosphere.2022.137093
268. Network Analysis of Fine Particulate Matter (PM2.5) Emissions in China S. Yan & G. Wu https://doi.org/10.1038/srep33227
269. Hardwood Burning as a Dominant Source of Fine Particulate Matter from Biomass Burning in Ho Chi Minh City, Vietnam N. Tran et al. https://doi.org/10.1021/acsomega.5c13491
270. Source apportionment of PM 2.5 at the Lin'an regional background site in China with three receptor models J. Deng et al. https://doi.org/10.1016/j.atmosres.2017.11.017
271. Enhanced PM2.5 episodes in a small residential city of South Korea: Effects of biomass burning and secondary formations S. Choi et al. https://doi.org/10.1016/j.apr.2022.101562
272. Spatial variability of carbonaceous aerosols and absorption characteristics between urban background and residential sites during wintertime at a major Mediterranean city (Athens; Greece) R. Sotiropoulou et al. https://doi.org/10.1016/j.atmosres.2025.108163
273. PM10 source apportionment in a coastal african megacity (Luanda, Angola): A quantitative basis for air quality management A. da Silva et al. https://doi.org/10.1016/j.apr.2026.103077
274. Chemical characterization and sources identification of PM2.5 in a tropical urban city during non-hazy conditions H. Hassan et al. https://doi.org/10.1016/j.uclim.2021.100953
275. Spatio-temporal distribution of particulate matter and wood-smoke tracers in Temuco, Chile: A city heavily impacted by residential wood-burning M. Quinteros et al. https://doi.org/10.1016/j.atmosenv.2022.119529
276. Field observations of intermediate volatile organic compounds during haze events in three cities of northern China: Characteristics, sources and contributions to SOA formation M. Jiang et al. https://doi.org/10.1016/j.atmosenv.2025.121232
277. Spatiotemporal characteristics of PM2.5 components in the Beijing-Tianjin-Hebei region and its surrounding areas during the heating seasons from 2018 to 2023 X. Dao et al. https://doi.org/10.1016/j.jclepro.2025.147210
278. Observations of biomass burning tracers in PM2.5 at two megacities in North China during 2014 APEC summit Z. Zhang et al. https://doi.org/10.1016/j.atmosenv.2017.09.011
279. Black carbon in contrasting environments in India: Temporal variability, source apportionment and radiative forcing B. Romshoo et al. https://doi.org/10.1016/j.atmosenv.2023.119734
280. A review of biomass burning: Emissions and impacts on air quality, health and climate in China J. Chen et al. https://doi.org/10.1016/j.scitotenv.2016.11.025
281. A comparison of PM exposure related to emission hotspots in a hot and humid urban environment: Concentrations, compositions, respiratory deposition, and potential health risks S. You et al. https://doi.org/10.1016/j.scitotenv.2017.04.217
282. Characterization of carbonaceous particles by single particle aerosol mass spectrometer in the urban area of Chengdu, China J. Zhang et al. https://doi.org/10.1007/s11356-023-31737-5
283. Light absorption and source apportionment of water soluble humic-like substances (HULIS) in PM2.5 at Nanjing, China M. Bao et al. https://doi.org/10.1016/j.envres.2021.112554
284. Potentially toxic metals, source apportionment, meteorological impacts and health risks assessment of fine particulate matter (PM2.5) over Ilorin, Nigeria S. Nwabachili et al. https://doi.org/10.1038/s41598-025-30228-6
285. Two-year continuous measurements of carbonaceous aerosols in urban Beijing, China: Temporal variations, characteristics and source analyses D. Ji et al. https://doi.org/10.1016/j.chemosphere.2018.02.067
286. Discrepant oxidation behavior of ferric ion and hydroxyl radical on syringic acid and vanillic acid in atmospheric Fenton-like system J. Zhao et al. https://doi.org/10.1016/j.chemosphere.2021.132022
287. Differing Ambient Particle Composition and Oxidative Toxicity in 12 Cities in Inner Mongolia: Reference for Regional Optimized Air Pollution Control M. Niu et al. https://doi.org/10.1021/acs.est.5c18631
288. Modeling study of PM2.5 pollutant transport across cities in China's Jing–Jin–Ji region during a severe haze episode in December 2013 C. Jiang et al. https://doi.org/10.5194/acp-15-5803-2015
289. Oxidative potential of ambient PM2.5 in the coastal cities of the Bohai Sea, northern China: Seasonal variation and source apportionment W. Liu et al. https://doi.org/10.1016/j.envpol.2018.01.116
290. Long-term variability, source apportionment and spectral properties of black carbon at an urban background site in Athens, Greece E. Liakakou et al. https://doi.org/10.1016/j.atmosenv.2019.117137
291. Characteristics and secondary formation of water-soluble organic acids in PM1, PM2.5 and PM10 in Beijing during haze episodes Q. Yu et al. https://doi.org/10.1016/j.scitotenv.2019.03.131
292. Characterization and sources of fine carbonaceous aerosol in winter over a megacity on Indo-Gangetic plain D. Majumdar et al. https://doi.org/10.1016/j.uclim.2021.100964
293. Proteinaceous Matter in PM2.5 in Suburban Guiyang, Southwestern China: Decreased Importance in Long‐Range Transport and Atmospheric Degradation X. Lin et al. https://doi.org/10.1029/2023JD038516
294. Observation of atmospheric peroxides during Wangdu Campaign 2014 at a rural site in the North China Plain Y. Wang et al. https://doi.org/10.5194/acp-16-10985-2016
295. Enhancement in Particulate Organic Nitrogen and Light Absorption of Humic-Like Substances over Tibetan Plateau Due to Long-Range Transported Biomass Burning Emissions Y. Wang et al. https://doi.org/10.1021/acs.est.9b06152
296. Source attribution of black and Brown carbon near-UV light absorption in Beijing, China and the impact of regional air-mass transport M. Olson et al. https://doi.org/10.1016/j.scitotenv.2021.150871
297. Organic aerosol compositions and source estimation by molecular tracers in Dushanbe, Tajikistan P. Chen et al. https://doi.org/10.1016/j.envpol.2022.119055
298. Fossil vs. non-fossil sources of fine carbonaceous aerosols in four Chinese cities during the extreme winter haze episode of 2013 Y. Zhang et al. https://doi.org/10.5194/acp-15-1299-2015
299. GC×GC–HRMS for combustion emissions: A framework for nontarget identification and source apportionment K. Xie et al. https://doi.org/10.25259/AJC_1357_2025
300. Organic acids in cloud water and rainwater at a mountain site in acid rain areas of South China X. Sun et al. https://doi.org/10.1007/s11356-016-6038-1
301. Source apportionment and dynamic changes of carbonaceous aerosols during the haze bloom-decay process in China based on radiocarbon and organic molecular tracers J. Liu et al. https://doi.org/10.5194/acp-16-2985-2016
302. Optical properties and source identification of black carbon and brown carbon: comparison of winter and summer haze episodes in Xi'an, Northwest China Q. Zhang et al. https://doi.org/10.1039/C9EM00320G
303. Source apportionment of fine organic carbon at an urban site of Beijing using a chemical mass balance model J. Xu et al. https://doi.org/10.5194/acp-21-7321-2021
304. Quantifying regional transport contributions to PM2.5-bound trace elements in a southeast coastal island of China: Insights from a machine learning approach N. Chen et al. https://doi.org/10.1016/j.envpol.2025.126448
305. Levoglucosan and phenols in Antarctic marine, coastal and plateau aerosols R. Zangrando et al. https://doi.org/10.1016/j.scitotenv.2015.11.166
306. Characteristics of dissolved organic carbon and nitrogen in precipitation in the northern Tibetan Plateau T. Gao et al. https://doi.org/10.1016/j.scitotenv.2021.145911
307. High Contribution of Nonfossil Sources to Submicrometer Organic Aerosols in Beijing, China Y. Zhang et al. https://doi.org/10.1021/acs.est.7b01517
308. Smoke aerosol chemistry and aging of Siberian biomass burning emissions in a large aerosol chamber A. Kalogridis et al. https://doi.org/10.1016/j.atmosenv.2018.04.033
309. Ambient particle characterization by single particle aerosol mass spectrometry in an urban area of Beijing L. Li et al. https://doi.org/10.1016/j.atmosenv.2014.03.048
310. Characteristics of air pollution episodes influenced by biomass burning pollution in Shanghai, China S. Tong et al. https://doi.org/10.1016/j.atmosenv.2020.117756
311. Atmospheric aerosol chemistry and source apportionment of PM10 using stable carbon isotopes and PMF modelling during fireworks over Hyderabad, southern India P. Attri et al. https://doi.org/10.1016/j.heliyon.2024.e26746
312. Characteristics of the main primary source profiles of particulate matter across China from 1987 to 2017 X. Bi et al. https://doi.org/10.5194/acp-19-3223-2019
313. Organic aerosols and inorganic species from post-harvest agricultural-waste burning emissions over northern India: impact on mass absorption efficiency of elemental carbon P. Rajput et al. https://doi.org/10.1039/C4EM00307A
314. Relative effects of open biomass burning and open crop straw burning on haze formation over central and eastern China: modeling study driven by constrained emissions K. Mehmood et al. https://doi.org/10.5194/acp-20-2419-2020
315. Occurrence and sources of chromophoric organic carbon in fine particulate matter over Xi'an, China J. Li et al. https://doi.org/10.1016/j.scitotenv.2020.138290
316. Simultaneous Determination of Levoglucosan, Mannosan and Galactosan at Trace Levels in Snow Samples by GC/MS C. You et al. https://doi.org/10.1007/s10337-014-2702-0
317. Quantifying the role of PM2.5 dropping in variations of ground-level ozone: Inter-comparison between Beijing and Los Angeles M. Shao et al. https://doi.org/10.1016/j.scitotenv.2021.147712
318. Non-stop industries were the main source of air pollution during the 2020 coronavirus lockdown in the North China Plain Z. Li et al. https://doi.org/10.1007/s10311-021-01314-8
319. Observational insights into the environmental effect for secondary inorganic aerosol formation in the Northeast China: Influence of biomass burning Y. Wang et al. https://doi.org/10.1016/j.atmosres.2023.107142
320. Characteristics, primary sources and secondary formation of water-soluble organic aerosols in downtown Beijing Q. Yu et al. https://doi.org/10.5194/acp-21-1775-2021
321. Temporal variations and source apportionment of Hulis-C in PM2.5 in urban Shanghai M. Zhao et al. https://doi.org/10.1016/j.scitotenv.2016.07.127
322. Measurement of aerosol optical properties and their potential source origin in urban Beijing from 2013-2017 T. Wang et al. https://doi.org/10.1016/j.atmosenv.2019.02.049
323. Seasonal variations in brown carbon properties in tropical forest region of southwest China: impacts from biomass burning and secondary formation X. Wang et al. https://doi.org/10.1016/j.powtec.2025.121873
324. Source apportionment of urban fine particle number concentration during summertime in Beijing Z. Liu et al. https://doi.org/10.1016/j.atmosenv.2014.06.055
325. Sources, Composition, and Mixing State of Submicron Particulates over the Central Indo-Gangetic Plain N. Singh et al. https://doi.org/10.1021/acsearthspacechem.1c00130
326. Characterization of chemical compositions in size-segregated atmospheric particles during severe haze episodes in three mega-cities of China J. Wang et al. https://doi.org/10.1016/j.atmosres.2016.12.004
327. Impact of biomass burning on a metropolitan area in the Amazon during the 2015 El Niño: The enhancement of carbon monoxide and levoglucosan concentrations I. Ribeiro et al. https://doi.org/10.1016/j.envpol.2020.114029
328. Quantifying the relative importance of major tracers for fine particles released from biofuel combustion in households in the rural North China Plain J. Tao et al. https://doi.org/10.1016/j.envpol.2020.115764
329. Air Pollution in Small Urban Settlements Cannot be Ignored: A Case Study of Jimunai, Northwest China X. Zhong et al. https://doi.org/10.1007/s44408-025-00077-z
330. The characterization of fine particulate matter downwind of Houston: Using integrated factor analysis to identify anthropogenic and natural sources B. Sadeghi et al. https://doi.org/10.1016/j.envpol.2020.114345
331. Concurrent photochemical whitening and darkening of ambient brown carbon Q. Li et al. https://doi.org/10.5194/acp-23-9439-2023
332. Regional heterogeneities in the emission of airborne primary sugar compounds and biogenic secondary organic aerosols in the East Asian outflow: evidence for coal combustion as a source of levoglucosan M. Haque et al. https://doi.org/10.5194/acp-22-1373-2022
333. A hybrid model to improve WRF-Chem performance for crop burning emissions of PM2.5 and secondary aerosols in North India P. Nagar & M. Sharma https://doi.org/10.1016/j.uclim.2022.101084
334. ASSESSMENT OF THE IMPACT OF AUTONOMOUS RESIDENTIAL HEATING SYSTEMS ON AIR POLLUTION IN MUNICIPALITIES (CASE STUDY OF THE BAIKAL REGION) V. Bityukova et al. https://doi.org/10.55959/MSU0579-9414.5.79.1.2
335. Characterization of criteria air pollutants in Beijing during 2014–2015 H. Guo et al. https://doi.org/10.1016/j.envres.2017.01.029
336. Pristine atmospheric condition over the Third Pole: An insight from levoglucosan records C. Xu & C. You https://doi.org/10.1016/j.gsf.2020.09.003
337. Distribution, contents and health risk assessment of metal(loid)s in small-scale farms in the Ecuadorian Amazon: An insight into impacts of oil activities F. Barraza et al. https://doi.org/10.1016/j.scitotenv.2017.11.246
338. Inorganic markers, carbonaceous components and stable carbon isotope from biomass burning aerosols in Northeast China F. Cao et al. https://doi.org/10.1016/j.scitotenv.2015.09.099
339. Chemical and physical properties of biomass burning aerosols and their CCN activity: A case study in Beijing, China Z. Wu et al. https://doi.org/10.1016/j.scitotenv.2016.11.112
340. New tracer for anthropogenic pollution in the atmosphere: Stable potassium isotopes in rainwater R. Qu et al. https://doi.org/10.1016/j.jclepro.2024.140574
341. Sources apportionment of PM 2.5 in a background site in the North China Plain L. Yao et al. https://doi.org/10.1016/j.scitotenv.2015.09.123
342. Source contributions of urban PM2.5 in the Beijing–Tianjin–Hebei region: Changes between 2006 and 2013 and relative impacts of emissions and meteorology X. Li et al. https://doi.org/10.1016/j.atmosenv.2015.10.048
343. Underestimation of biomass burning contribution to PM2.5 due to its chemical degradation based on hourly measurements of organic tracers: A case study in the Yangtze River Delta (YRD) region, China Q. Li et al. https://doi.org/10.1016/j.scitotenv.2023.162071
344. Source appointment of fine particle number and volume concentration during severe haze pollution in Beijing in January 2013 Z. Liu et al. https://doi.org/10.1007/s11356-015-5868-6
345. Source apportionment of carbonaceous aerosols in Xi'an, China: insights from a full year of measurements of radiocarbon and the stable isotope 13C H. Ni et al. https://doi.org/10.5194/acp-18-16363-2018
346. Correlation between biomass burning and air pollution in China: Spatial heterogeneity and corresponding factors S. Wang et al. https://doi.org/10.1016/j.gloplacha.2022.103823
347. Characterization of saccharides and associated usage in determining biogenic and biomass burning aerosols in atmospheric fine particulate matter in the North China Plain C. Yan et al. https://doi.org/10.1016/j.scitotenv.2018.09.325
348. Impacts of chemical degradation of levoglucosan on quantifying biomass burning contribution to carbonaceous aerosols: A case study in Northeast China Y. Hong et al. https://doi.org/10.1016/j.scitotenv.2021.152007
349. Acute effects of air pollution on all-cause mortality: a natural experiment from haze control measures in Chiang Mai Province, Thailand N. Vajanapoom et al. https://doi.org/10.7717/peerj.9207
350. Biomass burning contribution to ambient volatile organic compounds (VOCs) in the Chengdu–Chongqing Region (CCR), China L. Li et al. https://doi.org/10.1016/j.atmosenv.2014.09.067
351. Open burning of rice, corn and wheat straws: primary emissions, photochemical aging, and secondary organic aerosol formation Z. Fang et al. https://doi.org/10.5194/acp-17-14821-2017
352. Characterization and source apportionment of carbonaceous PM2.5 particles in China - A review X. Wu et al. https://doi.org/10.1016/j.atmosenv.2018.06.025
353. Seasonal light absorption properties of water-soluble brown carbon in atmospheric fine particles in Nanjing, China Y. Chen et al. https://doi.org/10.1016/j.atmosenv.2018.06.002
354. Concentrations, transport characteristics, and health risks of PM2.5-bound trace elements over a national park in central India J. Nirmalkar et al. https://doi.org/10.1016/j.jenvman.2021.112904
355. A systematic analysis of PM2.5 in Beijing and its sources from 2000 to 2012 B. Lv et al. https://doi.org/10.1016/j.atmosenv.2015.09.031
356. Identification and validation of marker compounds for fine particle emitted from sub-type biomass burning J. Cao et al. https://doi.org/10.1038/s41612-025-01309-0
357. Radiocarbon-based impact assessment of open biomass burning on regional carbonaceous aerosols in North China Z. Zong et al. https://doi.org/10.1016/j.scitotenv.2015.01.113
358. Physicochemical characterization of smoke aerosol during large-scale wildfires: Extreme event of August 2010 in Moscow O. Popovicheva et al. https://doi.org/10.1016/j.atmosenv.2014.03.026
359. Impact of Restrictive Measures during the Covid-19 Pandemic on Aerosol Pollution of the Atmosphere of the Moscow Megalopolis O. Popovicheva et al. https://doi.org/10.1134/S1019331621020131