214 citations as recorded by crossref.

1. Spatio-temporal variation in chemical characteristics of PM10 over Indo Gangetic Plain of India S. Sharma et al. https://doi.org/10.1007/s11356-016-7025-2
2. Composition and sources of carbonaceous aerosol in the European Arctic at Zeppelin Observatory, Svalbard (2017 to 2020) K. Yttri et al. https://doi.org/10.5194/acp-24-2731-2024
3. Sources of particulate-matter air pollution and its oxidative potential in Europe K. Daellenbach et al. https://doi.org/10.1038/s41586-020-2902-8
4. Characterization of aerosol sources in León (Spain) using Positive Matrix Factorization and weather types F. Oduber et al. https://doi.org/10.1016/j.scitotenv.2020.142045
5. Changes in domestic heating fuel use in Greece: effects on atmospheric chemistry and radiation E. Athanasopoulou et al. https://doi.org/10.5194/acp-17-10597-2017
6. An overview of particulate emissions from residential biomass combustion E. Vicente & C. Alves https://doi.org/10.1016/j.atmosres.2017.08.027
7. Trends, composition, and sources of carbonaceous aerosol at the Birkenes Observatory, northern Europe, 2001–2018 K. Yttri et al. https://doi.org/10.5194/acp-21-7149-2021
8. Vertical transport of PM and PM and its source identification in the street canyons of Chennai metropolitan city, India M. EzhilKumar et al. https://doi.org/10.1016/j.apr.2020.08.032
9. Origins of the seasonal variability of PM2.5 sources in a rural site in Northern France P. Espina-Martin et al. https://doi.org/10.1016/j.atmosenv.2024.120660
10. PM2.5 source apportionment in a French urban coastal site under steelworks emission influences using constrained non-negative matrix factorization receptor model A. Kfoury et al. https://doi.org/10.1016/j.jes.2015.10.025
11. Comparison of ionic and carbonaceous compositions of PM2.5 in 2009 and 2012 in Shanghai, China M. Zhao et al. https://doi.org/10.1016/j.scitotenv.2015.07.100
12. Diurnal and seasonal trends and source apportionment of redox-active metals in Los Angeles using a novel online metal monitor and Positive Matrix Factorization (PMF) A. Mousavi et al. https://doi.org/10.1016/j.atmosenv.2017.11.034
13. Insight into PM2.5 sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing D. Srivastava et al. https://doi.org/10.5194/acp-21-14703-2021
14. CCN measurements at the Princess Elisabeth Antarctica research station during three austral summers P. Herenz et al. https://doi.org/10.5194/acp-19-275-2019
15. The EMEP Intensive Measurement Period campaign, 2008–2009: characterizing carbonaceous aerosol at nine rural sites in Europe K. Yttri et al. https://doi.org/10.5194/acp-19-4211-2019
16. Carbonaceous Species of PM2.5 in Megacity Delhi, India During 2012–2016 S. Sharma et al. https://doi.org/10.1007/s00128-018-2313-9
17. PM10 oxidative potential at a Central Mediterranean Site: Association with chemical composition and meteorological parameters M. Pietrogrande et al. https://doi.org/10.1016/j.atmosenv.2018.06.013
18. Nine-year trends of PM10 sources and oxidative potential in a rural background site in France L. Borlaza et al. https://doi.org/10.5194/acp-22-8701-2022
19. A study on the reconstitution of daily PM10 and PM2.5 levels in Paris with a multivariate linear regression model K. Dimitriou & P. Kassomenos https://doi.org/10.1016/j.atmosenv.2014.09.047
20. Chemical Composition and Source Apportionment of PM10 in a Green-Roof Primary School Building N. Barmparesos et al. https://doi.org/10.3390/app10238464
21. Seasonal and regional variations of source contributions for PM10 and PM2.5 in urban environment Y. Tian et al. https://doi.org/10.1016/j.scitotenv.2016.03.107
22. Estimating contributions from biomass burning, fossil fuel combustion, and biogenic carbon to carbonaceous aerosols in the Valley of Chamonix: a dual approach based on radiocarbon and levoglucosan L. Bonvalot et al. https://doi.org/10.5194/acp-16-13753-2016
23. Long-range and local air pollution: what can we learn from chemical speciation of particulate matter at paired sites? M. Pandolfi et al. https://doi.org/10.5194/acp-20-409-2020
24. Assessment of PM2.5 sources and their corresponding level of uncertainty in a coastal urban area using EPA PMF 5.0 enhanced diagnostics M. Manousakas et al. https://doi.org/10.1016/j.scitotenv.2016.09.047
25. Composition and Sources of Organic Aerosol in Two Megacities in Western China Using Complementary Mass Spectrometric and Statistical Techniques T. Cui et al. https://doi.org/10.1021/acsestair.4c00051
26. Assessment of source contributions to air pollution in Beirut, Lebanon: a comparison of source-based and tracer-based modeling approaches A. Waked et al. https://doi.org/10.1007/s11869-014-0298-z
27. Source-resolved volatility and oxidation state decoupling in wintertime organic aerosols in Seoul H. Kim et al. https://doi.org/10.5194/acp-26-1145-2026
28. Source apportionment of PM10 based on offline chemical speciation data at 24 European sites X. Liu et al. https://doi.org/10.1038/s41612-025-01097-7
29. Contributions of local and regional anthropogenic sources of metals in PM2.5 at an urban site in northern France F. Ledoux et al. https://doi.org/10.1016/j.chemosphere.2017.04.128
30. Constraining a hybrid volatility basis-set model for aging of wood-burning emissions using smog chamber experiments: a box-model study based on the VBS scheme of the CAMx model (v5.40) G. Ciarelli et al. https://doi.org/10.5194/gmd-10-2303-2017
31. Variabilities of δ13C and carbonaceous components in ambient PM2.5 in Northeast India: Insights into sources and atmospheric processes A. Qadri et al. https://doi.org/10.1016/j.envres.2022.113801
32. Size-speciated chemistry of aerosols during the continental to marine air-mass transition phase from tropical Western Ghats environment in peninsular India A. Aswini et al. https://doi.org/10.1016/j.atmosres.2024.107826
33. Emissions from residential combustion sector: how to build a high spatially resolved inventory C. Silveira et al. https://doi.org/10.1007/s11869-017-0526-4
34. Carbonaceous composition assessment of PM2.5 near Taj Mahal in wintertime and heritage risk B. Sharma et al. https://doi.org/10.1007/s10874-026-09491-y
35. Receptor modeling of environmental aerosol data using MLPCA-MCR-ALS Y. Izadmanesh et al. https://doi.org/10.1016/j.chemolab.2017.05.008
36. Health Risk Assessment of Different Sources of Metals in PM 10 and PM 2.5 in the Largest City in Northeast India R. Garaga https://doi.org/10.1061/JHTRBP.HZENG-1311
37. Large-scale particulate air pollution and chemical fingerprint of volcanic sulfate aerosols from the 2014–2015 Holuhraun flood lava eruption of Bárðarbunga volcano (Iceland) M. Boichu et al. https://doi.org/10.5194/acp-19-14253-2019
38. Background atmospheric conditions of high PM10 concentrations in Istanbul, Turkey H. Baltaci et al. https://doi.org/10.1016/j.apr.2020.06.020
39. Source apportionment and diurnal dynamics from quasi real-time measurements of potentially toxic elements in PM10 in a coastal industrial zone J. Ramírez A. et al. https://doi.org/10.1016/j.uclim.2026.102866
40. Seasonal Variation of Aerosol Composition and Sources of Water-Soluble Organic Carbon in an Eastern City of China J. Li et al. https://doi.org/10.3390/atmos13121968
41. Particulate phase emission of parent polycyclic aromatic hydrocarbons (PAHs) and their derivatives (alkyl-PAHs, oxygenated-PAHs, azaarenes and nitrated PAHs) from manually and automatically fired combustion appliances E. Vicente et al. https://doi.org/10.1007/s11869-015-0364-1
42. PM2.5 and PM10 oxidative potential at a Central Mediterranean Site: Contrasts between dithiothreitol- and ascorbic acid-measured values in relation with particle size and chemical composition M. Perrone et al. https://doi.org/10.1016/j.atmosenv.2019.04.047
43. Oxidative potential apportionment of atmospheric PM1: a new approach combining high-sensitive online analysers for chemical composition and offline OP measurement technique J. Camman et al. https://doi.org/10.5194/acp-24-3257-2024
44. Comprehensive chemical characterization of industrial PM2.5 from steel industry activities A. Sylvestre et al. https://doi.org/10.1016/j.atmosenv.2016.12.032
45. Chemical composition and oxidative potential of atmospheric coarse particles at an industrial and urban background site in the alpine region of northern Italy M. Pietrogrande et al. https://doi.org/10.1016/j.atmosenv.2018.08.022
46. Elemental Composition and Sources of Fine Particulate Matter (PM2.5) in Delhi, India S. Sharma & T. Mandal https://doi.org/10.1007/s00128-023-03707-7
47. Stable carbon and nitrogen isotopic characteristics of PM2.5 and PM10 in Delhi, India S. Sharma et al. https://doi.org/10.1007/s10874-022-09429-0
48. Source apportionment of atmospheric PM10 oxidative potential: synthesis of 15 year-round urban datasets in France S. Weber et al. https://doi.org/10.5194/acp-21-11353-2021
49. Seasonal and annual trends of carbonaceous species of PM10 over a megacity Delhi, India during 2010–2017 S. Sharma et al. https://doi.org/10.1007/s10874-018-9379-y
50. Overview of the French Operational Network for In Situ Observation of PM Chemical Composition and Sources in Urban Environments (CARA Program) O. Favez et al. https://doi.org/10.3390/atmos12020207
51. Seasonal characteristics and key sources of trace element deposition fluxes in coastal Poland P. Bukowska https://doi.org/10.1038/s41598-025-32170-z
52. Bioaerosols and phosphorus in PM2.5 in a major Eastern Mediterranean city K. Papoutsidaki et al. https://doi.org/10.1016/j.atmosenv.2026.121813
53. Evaluation of receptor and chemical transport models for PM10 source apportionment C. Belis et al. https://doi.org/10.1016/j.aeaoa.2019.100053
54. Rapid improvement in air quality due to aerosol-pollution control during 2012–2018: An evidence observed in Kunshan in the Yangtze River Delta, China J. Wu et al. https://doi.org/10.1016/j.apr.2019.12.020
55. Wood combustion, a dominant source of winter aerosol in residential district in proximity to a large automobile factory in Central Europe J. Hovorka et al. https://doi.org/10.1016/j.atmosenv.2015.04.068
56. Seasonal variation and origins of volatile organic compounds observed during 2 years at a western Mediterranean remote background site (Ersa, Cape Corsica) C. Debevec et al. https://doi.org/10.5194/acp-21-1449-2021
57. Identifying the sources of PM2.5 at a COALESCE site in the Brahmaputra Valley Region using dispersion normalized PMF A. Qadri et al. https://doi.org/10.1016/j.atmosenv.2024.120501
58. Elemental Composition of PM2.5 and PM10 and Health Risks Assessment in the Industrial Districts of Chelyabinsk, South Ural Region, Russia T. Krupnova et al. https://doi.org/10.3390/ijerph182312354
59. Modelling oxidative potential of atmospheric particle: A 2-year study over France M. Vida et al. https://doi.org/10.1016/j.scitotenv.2025.178813
60. Long-Term Variation in Carbonaceous Components of PM2.5 from 2012 to 2021 in Delhi S. Sharma et al. https://doi.org/10.1007/s00128-022-03506-6
61. Argon offline-AMS source apportionment of organic aerosol over yearly cycles for an urban, rural, and marine site in northern Europe C. Bozzetti et al. https://doi.org/10.5194/acp-17-117-2017
62. Evolution of the chemical fingerprint of biomass burning organic aerosol during aging A. Bertrand et al. https://doi.org/10.5194/acp-18-7607-2018
63. Multi-city comparative PM2.5 source apportionment for fifteen sites in Europe: The ICARUS project D. Saraga et al. https://doi.org/10.1016/j.scitotenv.2020.141855
64. Quantitative assessment of the variability in chemical profiles from source apportionment analysis of PM10 and PM2.5 at different sites within a large metropolitan area M. Manousakas et al. https://doi.org/10.1016/j.envres.2020.110257
65. Disparities in particulate matter (PM10) origins and oxidative potential at a city scale (Grenoble, France) – Part 1: Source apportionment at three neighbouring sites L. Borlaza et al. https://doi.org/10.5194/acp-21-5415-2021
66. Investigation of four-year chemical composition and organic aerosol sources of submicron particles at the ATOLL site in northern France H. Chebaicheb et al. https://doi.org/10.1016/j.envpol.2023.121805
67. Increased industry contribution and atmospheric heavy metals from economic recovery in Spain C. Hao et al. https://doi.org/10.1016/j.jclepro.2019.119024
68. Size Distribution of Ambient Particulate Matter and Its Constituent Chemical Species Involving Saccharides During Early Summer in a Chinese Megacity J. Khan et al. https://doi.org/10.3389/fenvs.2021.659329
69. Spatial, seasonal and diurnal patterns in physicochemical characteristics and sources of PM2.5 in both inland and coastal regions within a megacity in China Y. Tian et al. https://doi.org/10.1016/j.jhazmat.2017.08.015
70. Substantial brown carbon emissions from wintertime residential wood burning over France Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2020.140752
71. The evolution of botanical biofilters: Developing practical phytoremediation of air pollution for the built environment T. Pettit et al. https://doi.org/10.32438/iCRBE.202012
72. Investigation of the geographical origins of PM10 based on long, medium and short-range air mass back-trajectories impacting Northern France during the period 2009–2013 A. Waked et al. https://doi.org/10.1016/j.atmosenv.2018.08.015
73. The short- and long-term associations of particulate matter with inflammation and blood coagulation markers: A meta-analysis H. Tang et al. https://doi.org/10.1016/j.envpol.2020.115630
74. 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
75. Adapting the Vegetative Vigour Terrestrial Plant Test for assessing ecotoxicity of aerosol samples N. Kováts et al. https://doi.org/10.1007/s11356-017-9103-5
76. Tropical tropospheric aerosol sources and chemical composition observed at high altitude in the Bolivian Andes C. Moreno et al. https://doi.org/10.5194/acp-24-2837-2024
77. ARIMA analysis of the effect of land surface coverage on PM 10 concentrations in a high-altitude megacity C. Zafra et al. https://doi.org/10.1016/j.apr.2017.01.002
78. High levels of primary biogenic organic aerosols are driven by only a few plant-associated microbial taxa A. Samaké et al. https://doi.org/10.5194/acp-20-5609-2020
79. Impact of aging on the sources, volatility, and viscosity of organic aerosols in Chinese outflows T. Feng et al. https://doi.org/10.5194/acp-23-611-2023
80. Fine particulate matter in the tropical environment: monsoonal effects, source apportionment, and health risk assessment M. Khan et al. https://doi.org/10.5194/acp-16-597-2016
81. Unveiling the elemental composition, sources and health impacts of PM10 over the central Indo-Gangetic plain (IGP) of India P. Tiwari et al. https://doi.org/10.1016/j.pce.2024.103752
82. Properties of black carbon and other insoluble light-absorbing particles in seasonal snow of northwestern China W. Pu et al. https://doi.org/10.5194/tc-11-1213-2017
83. Submicron aerosol source apportionment of wintertime pollution in Paris, France by double positive matrix factorization (PMF2) using an aerosol chemical speciation monitor (ACSM) and a multi-wavelength Aethalometer J. Petit et al. https://doi.org/10.5194/acp-14-13773-2014
84. Organic markers and OC source apportionment for seasonal variations of PM2.5 at 5 rural sites in France B. Golly et al. https://doi.org/10.1016/j.atmosenv.2018.10.027
85. Comparative study of PM10-bound heavy metals and PAHs during six years in a Chinese megacity: Compositions, sources, and source-specific risks Q. Xue et al. https://doi.org/10.1016/j.ecoenv.2019.109740
86. 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
87. Nighttime–daytime PM10 source apportionment and toxicity in a remoteness inland city of the Iberian Peninsula Y. Cipoli et al. https://doi.org/10.1016/j.atmosenv.2023.119771
88. The importance of simulated lung fluid (SLF) extractions for a more relevant evaluation of the oxidative potential of particulate matter A. Calas et al. https://doi.org/10.1038/s41598-017-11979-3
89. Characterising an intense PM pollution episode in March 2015 in France from multi-site approach and near real time data: Climatology, variabilities, geographical origins and model evaluation J. Petit et al. https://doi.org/10.1016/j.atmosenv.2017.02.012
90. Chemical composition of fine mode particulate matter (PM 2.5 ) in an urban area of Delhi, India and its source apportionment S. Sharma & T. Mandal https://doi.org/10.1016/j.uclim.2017.05.009
91. Measurements of aerosol and CCN properties in the Mackenzie River delta (Canadian Arctic) during spring–summer transition in May 2014 P. Herenz et al. https://doi.org/10.5194/acp-18-4477-2018
92. Characterization of ambient volatile organic compounds, source apportionment, and the ozone–NOx–VOC sensitivities in a heavily polluted megacity of central China: effect of sporting events and emission reductions S. Yu et al. https://doi.org/10.5194/acp-21-15239-2021
93. Contributors to reductions of PM2.5-bound heavy metal concentrations and health risks in a Chinese megacity during 2013, 2016 and 2019: An advanced method to quantify source-specific risks from various directions X. Liu et al. https://doi.org/10.1016/j.envres.2022.114989
94. Anthropogenic and biogenic tracers in fine aerosol based on seasonal distributions of dicarboxylic acids, sugars and related compounds at a rural background site in Central Europe P. Vodička et al. https://doi.org/10.1016/j.atmosenv.2023.119619
95. Two years of near real-time chemical composition of submicron aerosols in the region of Paris using an Aerosol Chemical Speciation Monitor (ACSM) and a multi-wavelength Aethalometer J. Petit et al. https://doi.org/10.5194/acp-15-2985-2015
96. Seasonal observation and source apportionment of carbonaceous aerosol from forested rural site (Lithuania) A. Masalaite et al. https://doi.org/10.1016/j.atmosenv.2021.118934
97. Influence of the sampling period and time resolution on the PM source apportionment: Study based on the high time-resolution data and long-term daily data Y. Tian et al. https://doi.org/10.1016/j.atmosenv.2017.07.003
98. Characterization and variability of inorganic aerosols and their gaseous precursors at a suburban site in northern France over one year (2015–2016) R. Roig Rodelas et al. https://doi.org/10.1016/j.atmosenv.2018.11.041
99. Disparities in particulate matter (PM10) origins and oxidative potential at a city scale (Grenoble, France) – Part 2: Sources of PM10 oxidative potential using multiple linear regression analysis and the predictive applicability of multilayer perceptron neural network analysis L. Borlaza et al. https://doi.org/10.5194/acp-21-9719-2021
100. Chemical composition and source apportionment of PM10 at an urban background site in a high–altitude Latin American megacity (Bogota, Colombia) O. Ramírez et al. https://doi.org/10.1016/j.envpol.2017.10.045
101. Characterizing the regional contribution to PM10 pollution over northern France using two complementary approaches: Chemistry transport and trajectory-based receptor models E. Potier et al. https://doi.org/10.1016/j.atmosres.2019.03.002
102. Source Profile Analysis, Source Apportionment, and Potential Health Risk of Ambient Particle-Bound Polycyclic Aromatic Hydrocarbons in Areas of Specific Interest D. Saraga et al. https://doi.org/10.3390/atmos15080938
103. Effects of seasonal management programs on PM2.5 in Seoul and Beijing using DN-PMF: Collaborative efforts from the Korea-China joint research I. Ryoo et al. https://doi.org/10.1016/j.envint.2024.108970
104. Source apportionment of PM2.5 in Seoul, South Korea and Beijing, China using dispersion normalized PMF J. Park et al. https://doi.org/10.1016/j.scitotenv.2022.155056
105. Comparison of PM10 Sources Profiles at 15 French Sites Using a Harmonized Constrained Positive Matrix Factorization Approach S. Weber et al. https://doi.org/10.3390/atmos10060310
106. Insights into the chemical characterization and sources of PM2.5 in Beijing at a 1-h time resolution J. Gao et al. https://doi.org/10.1016/j.scitotenv.2015.10.082
107. Six-year source apportionment of submicron organic aerosols from near-continuous highly time-resolved measurements at SIRTA (Paris area, France) Y. Zhang et al. https://doi.org/10.5194/acp-19-14755-2019
108. Polyols and glucose particulate species as tracers of primary biogenic organic aerosols at 28 French sites A. Samaké et al. https://doi.org/10.5194/acp-19-3357-2019
109. Poor regulation implications in a low and middle income country based on PAH source apportionment and cancer risk assessment W. Jaafar et al. https://doi.org/10.1039/D1EM00285F
110. Transport of Po Valley aerosol pollution to the northwestern Alps – Part 2: Long-term impact on air quality H. Diémoz et al. https://doi.org/10.5194/acp-19-10129-2019
111. Chemical characteristics and source apportionment of PM2.5 using PCA/APCS, UNMIX, and PMF at an urban site of Delhi, India S. Jain et al. https://doi.org/10.1007/s11356-017-8925-5
112. Evaluation of modelled LOTOS-EUROS with observational based PM10 source attribution R. Timmermans et al. https://doi.org/10.1016/j.aeaoa.2022.100173
113. Variability of the Atmospheric PM10 Microbiome in Three Climatic Regions of France A. Samaké et al. https://doi.org/10.3389/fmicb.2020.576750
114. Source apportionment and water solubility of metals in size segregated particles in urban environments S. Jiang et al. https://doi.org/10.1016/j.scitotenv.2015.06.146
115. Rainfalls sprinkle cloud bacterial diversity while scavenging biomass R. Péguilhan et al. https://doi.org/10.1093/femsec/fiab144
116. Source apportionment of carbonaceous aerosols in the vicinity of a Mediterranean industrial harbor: A coupled approach based on radiocarbon and molecular tracers L. Bonvalot et al. https://doi.org/10.1016/j.atmosenv.2019.04.008
117. Aerosols in Northern Morocco (Part 4): Seasonal Chemical Signatures of PM2.5 and PM10 A. Benchrif et al. https://doi.org/10.3390/atmos16080982
118. Effect of biomass burning over the western North Pacific Rim: wintertime maxima of anhydrosugars in ambient aerosols from Okinawa C. Zhu et al. https://doi.org/10.5194/acp-15-1959-2015
119. Source Apportionment of PM2.5 in Delhi, India Using PMF Model S. Sharma et al. https://doi.org/10.1007/s00128-016-1836-1
120. Pollution source tracing and health impact of PM10 elements using DN-PMF in sub-urban sites of the Indian Himalayan Region S. Gupta et al. https://doi.org/10.1007/s10653-025-02692-6
121. PM10 Chemical Profile during North African Dust Episodes over French West Indies P. Quénel et al. https://doi.org/10.3390/atmos12020277
122. Chemical nature and sources of fine particles in urban Beijing: Seasonality and formation mechanisms Y. Gu et al. https://doi.org/10.1016/j.envint.2020.105732
123. An apportionment method for the oxidative potential of atmospheric particulate matter sources: application to a one-year study in Chamonix, France S. Weber et al. https://doi.org/10.5194/acp-18-9617-2018
124. Seasonal trend and source identification of polycyclic aromatic hydrocarbons associated with fine particulate matters (PM2.5) in Isfahan City, Iran, using diagnostic ratio and PMF model M. Soleimani et al. https://doi.org/10.1007/s11356-021-17635-8
125. Source identification and ambient trace element concentrations of PM10 using receptor modeling in an urban area of Chhattisgarh, India P. Khobragade & A. Ahirwar https://doi.org/10.1080/10106049.2022.2066201
126. Inhalation bioaccessibility and risk assessment for PM-bound organic components: Co-effects of component physicochemical properties, PM properties, and sources X. Liu et al. https://doi.org/10.1016/j.jhazmat.2023.132291
127. Arabitol, mannitol, and glucose as tracers of primary biogenic organic aerosol: the influence of environmental factors on ambient air concentrations and spatial distribution over France A. Samaké et al. https://doi.org/10.5194/acp-19-11013-2019
128. Influence of different complexity levels of road traffic models on air quality modelling at street scale B. Vicente et al. https://doi.org/10.1007/s11869-018-0621-1
129. Source apportionment study on particulate air pollution in two high-altitude Bolivian cities: La Paz and El Alto V. Mardoñez et al. https://doi.org/10.5194/acp-23-10325-2023
130. The important role of nitrate in iron and manganese dissolution and sulfate formation in fine particles at a coastal site in Northern China X. Gao et al. https://doi.org/10.1016/j.scitotenv.2024.170318
131. Identification and quantification of particulate tracers of exhaust and non-exhaust vehicle emissions A. Charron et al. https://doi.org/10.5194/acp-19-5187-2019
132. Speciation of organic fractions does matter for aerosol source apportionment. Part 2: Intensive short-term campaign in the Paris area (France) D. Srivastava et al. https://doi.org/10.1016/j.scitotenv.2018.03.296
133. Organic tracers in fine and coarse aerosols at an urban Mediterranean site: contribution of biomass burning and biogenic emissions Á. Clemente et al. https://doi.org/10.1007/s11356-024-32789-x
134. Chemical characterization and source apportionment of PM1 and PM2.5 in Tianjin, China: Impacts of biomass burning and primary biogenic sources J. Khan et al. https://doi.org/10.1016/j.jes.2020.06.027
135. Aerosol pH Dynamics During Haze Periods in an Urban Environment in China: Use of Detailed, Hourly, Speciated Observations to Study the Role of Ammonia Availability and Secondary Aerosol Formation and Urban Environment G. Shi et al. https://doi.org/10.1029/2018JD029976
136. Carbonaceous Aerosols over Lachung in the Eastern Himalayas: Primary Sources and Secondary Formation of Organic Aerosols in a Remote High-Altitude Environment B. Arun et al. https://doi.org/10.1021/acsearthspacechem.1c00190
137. Assessment of Winter-Time Carbon Content in PM10 Over a High-Altitude Atmosphere of Eastern Himalaya N. Choudhary et al. https://doi.org/10.1007/s12647-025-00860-8
138. Source apportionment of urban PM1 in Barcelona during SAPUSS using organic and inorganic components M. Brines et al. https://doi.org/10.1007/s11356-019-06199-3
139. Chemical compounds in PM10 as a tool for source apportionment H. Raclavská et al. https://doi.org/10.1016/j.eti.2025.104695
140. Chemical characteristics and source apportionment of PM2.5 in a petrochemical city: Implications for primary and secondary carbonaceous component G. Yan et al. https://doi.org/10.1016/j.jes.2020.11.012
141. Characterisation of PAHs in Outdoor Air Pollution at Schools in a Medium-Sized Town, Hungary B. Eck-Varanka et al. https://doi.org/10.3390/toxics14040326
142. Decadal trends (2013–2023) in PM10 sources and oxidative potential at a European urban supersite (Grenoble, France) V. Ngoc Thuy Dinh et al. https://doi.org/10.5194/acp-26-247-2026
143. Source apportionment of oxidative potential depends on the choice of the assay: insights into 5 protocols comparison and implications for mitigation measures P. Dominutti et al. https://doi.org/10.1039/D3EA00007A
144. Informed Weighted Non-Negative Matrix Factorization Using αβ-Divergence Applied to Source Apportionment G. Delmaire et al. https://doi.org/10.3390/e21030253
145. Chemical characterization and source apportionment of aerosol at an urban area of Central Delhi, India S. Sharma et al. https://doi.org/10.1016/j.apr.2015.08.002
146. Source apportionment and potential source regions of size-resolved particulate matter at a heavily polluted industrial city in the Indo-Gangetic Plain L. Gupta et al. https://doi.org/10.1016/j.atmosenv.2023.119614
147. Public Health Considerations for PM10 in a High-Pollution Megacity: Influences of Atmospheric Condition and Land Coverage C. Zafra et al. https://doi.org/10.3390/atmos12010118
148. The significant contribution of biomass burning to methanol-soluble nitrogenous organics and its evolution during the highly-humid haze event in urban Wuhan X. He et al. https://doi.org/10.1038/s41612-025-01118-5
149. Integrated analysis of elemental speciation, source apportionment, and pollution risk assessment attributable to PM2.5 exposure in Faridabad, India N. Yadav et al. https://doi.org/10.1007/s11869-026-01995-6
150. Atmospheric metallic and arsenic pollution at an offshore drilling platform in the Bo Sea: A health risk assessment for the workers H. Xu et al. https://doi.org/10.1016/j.jhazmat.2015.10.065
151. Characteristics and sources of volatile organic compounds (VOCs) in Shanghai during summer: Implications of regional transport Y. Liu et al. https://doi.org/10.1016/j.atmosenv.2019.116902
152. Role of the boundary layer dynamics effects on an extreme air pollution event in Paris J. Dupont et al. https://doi.org/10.1016/j.atmosenv.2016.06.061
153. Real-time measurement and source apportionment of elements in Delhi's atmosphere P. Rai et al. https://doi.org/10.1016/j.scitotenv.2020.140332
154. Disentangling fine particles (PM2.5) composition in Hanoi, Vietnam: Emission sources and oxidative potential P. Dominutti et al. https://doi.org/10.1016/j.scitotenv.2024.171466
155. Seasonal Variations and Chemical Predictors of Oxidative Potential (OP) of Particulate Matter (PM), for Seven Urban French Sites A. Calas et al. https://doi.org/10.3390/atmos10110698
156. Sources, pattern, and possible health impacts of PM2.5 in the central region of Bangladesh using PMF, SOM, and machine learning techniques M. Hassan et al. https://doi.org/10.1016/j.cscee.2023.100366
157. Chemical characterization and source apportionment of atmospheric fine particulate matter (PM2.5) at an urban site in Astana, Kazakhstan G. Ormanova et al. https://doi.org/10.1016/j.apr.2024.102324
158. Methods to Investigate the Global Atmospheric Microbiome A. Dommergue et al. https://doi.org/10.3389/fmicb.2019.00243
159. Substantial contribution of transported emissions to organic aerosol in Beijing K. Daellenbach et al. https://doi.org/10.1038/s41561-024-01493-3
160. Chemical and Morphological Characterization of Atmospheric Aerosols over the Southern Western Ghats: Impact of Long-Range Anthropogenic Transport on a Sensitive Ecosystem A. Aswini et al. https://doi.org/10.1021/acsearthspacechem.5c00151
161. Seasonal variation of the chemical content and source identification of PM2.5 in a mixed landuse in Iran M. Zare Shahne et al. https://doi.org/10.1007/s13762-024-06138-x
162. Source Apportionment of Atmospheric PM10 in Makkah Saudi Arabia by Modelling Its Ion and Trace Element Contents with Positive Matrix Factorization and Generalised Additive Model T. Habeebullah et al. https://doi.org/10.3390/toxics10030119
163. Phenomenology of the Composition of PM2.5 at an Urban Site in Northern France Y. Allouche et al. https://doi.org/10.3390/atmos15050603
164. Speciation of organic fraction does matter for source apportionment. Part 1: A one-year campaign in Grenoble (France) D. Srivastava et al. https://doi.org/10.1016/j.scitotenv.2017.12.135
165. Unexpected High Contribution of Residential Biomass Burning to Non‐Methane Organic Gases (NMOGs) in the Yangtze River Delta Region of China Y. Gao et al. https://doi.org/10.1029/2021JD035050
166. Contribution of ambient airborne particles on the susceptibility to respiratory viral infections C. Chivé et al. https://doi.org/10.1016/j.etap.2025.104797
167. Spatial variation and chemical reactivity of dusts from open-pit bitumen mining using trace elements in snow F. Barraza et al. https://doi.org/10.1016/j.chemosphere.2023.141081
168. Measurement report: A 1-year study to estimate maritime contributions to PM10 in a coastal area in northern France F. Ledoux et al. https://doi.org/10.5194/acp-23-8607-2023
169. Sources of PM2.5 at an urban-industrial Mediterranean city, Marseille (France): Application of the ME-2 solver to inorganic and organic markers D. Salameh et al. https://doi.org/10.1016/j.atmosres.2018.08.005
170. Significant changes in the chemical compositions and sources of PM2.5 in Wuhan since the city lockdown as COVID-19 H. Zheng et al. https://doi.org/10.1016/j.scitotenv.2020.140000
171. Chemical Characteristics and Source Identification of PM2.5 in Industrial Complexes, Korea H. Jang et al. https://doi.org/10.3390/toxics14020111
172. Chemical composition and source identification of PM10 in five North Western European cities S. Hama et al. https://doi.org/10.1016/j.atmosres.2018.07.014
173. Factor analysis and back trajectory of PM and its metal constituents Y. Yusup et al. https://doi.org/10.1080/15275922.2016.1177757
174. Origin and variability in volatile organic compounds observed at an Eastern Mediterranean background site (Cyprus) C. Debevec et al. https://doi.org/10.5194/acp-17-11355-2017
175. Measurement report: Fourteen months of real-time characterisation of the submicronic aerosol and its atmospheric dynamics at the Marseille–Longchamp supersite B. Chazeau et al. https://doi.org/10.5194/acp-21-7293-2021
176. Impact of urbanization and industrialization on PM10 in municipalities near megacities: A case study from an Andean Region, Latin America O. Ramírez et al. https://doi.org/10.1016/j.uclim.2025.102612
177. Comprehensive chemical characterization of PM2.5 in the large East Mediterranean-Middle East city of Beirut, Lebanon N. Fakhri et al. https://doi.org/10.1016/j.jes.2022.07.010
178. Sources and geographic origin of particulate matter in urban areas of the Danube macro-region: The cases of Zagreb (Croatia), Budapest (Hungary) and Sofia (Bulgaria) M. Perrone et al. https://doi.org/10.1016/j.scitotenv.2017.11.092
179. Highly time-resolved measurements of element concentrations in PM10 and PM2.5: comparison of Delhi, Beijing, London, and Krakow P. Rai et al. https://doi.org/10.5194/acp-21-717-2021
180. Sources and Geographical Origins of PM10 in Metz (France) Using Oxalate as a Marker of Secondary Organic Aerosols by Positive Matrix Factorization Analysis J. Petit et al. https://doi.org/10.3390/atmos10070370
181. Light absorption properties of black and brown carbon during the prescribed burning season at an urban background site in Brisbane, Australia C. Wu et al. https://doi.org/10.1016/j.atmosenv.2023.120072
182. Molecular composition and source apportionment of fine organic aerosols in Northeast China X. Wu et al. https://doi.org/10.1016/j.atmosenv.2020.117722
183. The filter-loading effect by ambient aerosols in filter absorption photometers depends on the coating of the sampled particles L. Drinovec et al. https://doi.org/10.5194/amt-10-1043-2017
184. Source Apportionment of PM10 in Biga, Canakkale, Turkiye Using Positive Matrix Factorization E. Cakmak et al. https://doi.org/10.3390/atmos17020141
185. Beyond Air Particulate Matters: Dew Point Temperature Emerged as a Potent Proxy for Estimation of Air Heavy Metals G. Goudarzi et al. https://doi.org/10.1007/s41742-026-01135-z
186. A user-friendly tool for comprehensive evaluation of the geographical origins of atmospheric pollution: Wind and trajectory analyses J. Petit et al. https://doi.org/10.1016/j.envsoft.2016.11.022
187. Diurnal changes of PM10-emission from arable soils in NE-Germany C. Hoffmann & R. Funk https://doi.org/10.1016/j.aeolia.2015.03.002
188. Modelling of atmospheric concentrations of fungal spores: a 2-year simulation over France using CHIMERE M. Vida et al. https://doi.org/10.5194/acp-24-10601-2024
189. Insight Study of Trace Elements in PM2.5 During Nine Years in Delhi, India: Seasonal Variation, Source Apportionment, and Health Risks Assessment S. Gupta et al. https://doi.org/10.1007/s00244-024-01070-0
190. Refined source apportionment of coal combustion sources by using single particle mass spectrometry J. Xu et al. https://doi.org/10.1016/j.scitotenv.2018.01.269
191. Characteristics and sensitivity analysis of multiple-time-resolved source patterns of PM2.5 with real time data using Multilinear Engine 2 X. Peng et al. https://doi.org/10.1016/j.atmosenv.2016.05.032
192. Vertical and horizontal variability of PM10 source contributions in Barcelona during SAPUSS M. Brines et al. https://doi.org/10.5194/acp-16-6785-2016
193. Study of PM2.5 Using PMF Receptor Model and Advancement of Source Apportionment I. Ryoo et al. https://doi.org/10.5572/KOSAE.2022.38.4.493
194. PM2.5 source apportionment for the port city of Thessaloniki, Greece D. Saraga et al. https://doi.org/10.1016/j.scitotenv.2018.09.250
195. Toolbox for accurate estimation and validation of Positive Matrix Factorization solutions in Particulate Matter source apportionment V. Dinh et al. https://doi.org/10.5194/amt-18-6817-2025
196. Chemically speciated mass size distribution, particle density, shape and origin of non-refractory PM1 measured at a rural background site in central Europe P. Pokorná et al. https://doi.org/10.5194/acp-22-5829-2022
197. Review of Particulate Matter and Elemental Composition of Aerosols at Selected Locations in Nigeria from 1985–2015 I. Offor et al. https://doi.org/10.5696/2156-9614-6-10.1
198. Source apportionment of fine particulate matter in a Middle Eastern Metropolis, Tehran-Iran, using PMF with organic and inorganic markers S. Esmaeilirad et al. https://doi.org/10.1016/j.scitotenv.2019.135330
199. Influence of operating conditions on chemical composition of particulate matter emissions from residential combustion E. Vicente et al. https://doi.org/10.1016/j.atmosres.2015.06.016
200. Understanding the Sources of Heavy Metal Pollution in Ambient Air of Neighboring a Solid Waste Landfill Site U. Mehta et al. https://doi.org/10.1007/s41810-022-00131-y
201. Oxidative stress-induced inflammation in susceptible airways by anthropogenic aerosol Z. Leni et al. https://doi.org/10.1371/journal.pone.0233425
202. Sources and atmospheric chemistry of oxy- and nitro-PAHs in the ambient air of Grenoble (France) S. Tomaz et al. https://doi.org/10.1016/j.atmosenv.2017.04.042
203. Metal-bearing airborne particles from mining activities: A review on their characteristics, impacts and research perspectives J. Kasongo et al. https://doi.org/10.1016/j.scitotenv.2024.175426
204. Identification of potential source regions and long-range transport routes/channels of marine PM2.5 at remote sites in East Asia P. Yen et al. https://doi.org/10.1016/j.scitotenv.2024.170110
205. Assessing Ecotoxicity of Aerosol Samples Using Higher Plants as Test Organisms N. Kováts et al. https://doi.org/10.17706/ijbbb.2019.9.3.166-172
206. Influence of quarry mining dust on PM 2.5 in a city adjacent to a limestone quarry: Seasonal characteristics and source contributions X. Peng et al. https://doi.org/10.1016/j.scitotenv.2016.01.195
207. Comparison of five methodologies to apportion organic aerosol sources during a PM pollution event D. Srivastava et al. https://doi.org/10.1016/j.scitotenv.2020.143168
208. Cellulose in atmospheric particulate matter at rural and urban sites across France and Switzerland A. Brighty et al. https://doi.org/10.5194/acp-22-6021-2022
209. Aerosol characterization and peculiarities of source apportionment in Moscow, the largest and northernmost European megacity O. Popovicheva et al. https://doi.org/10.1016/j.scitotenv.2024.170315
210. Impact of biomass burning and non-exhaust vehicle emissions on PM10 levels in a mid-size non-industrial western Iberian city C. Pio et al. https://doi.org/10.1016/j.atmosenv.2022.119293
211. Development of a versatile source apportionment analysis based on positive matrix factorization: a case study of the seasonal variation of organic aerosol sources in Estonia A. Vlachou et al. https://doi.org/10.5194/acp-19-7279-2019
212. Source apportionment of fine particulate matter over a National Park in Central India S. Kumar & R. Sunder Raman https://doi.org/10.1016/j.scitotenv.2020.137511
213. Source apportionment for online dataset at a megacity in China using a new PTT-PMF model J. Gao et al. https://doi.org/10.1016/j.atmosenv.2020.117457
214. Oxidative potential of atmospheric particles in Europe and exposure scenarios C. Tassel et al. https://doi.org/10.1038/s41586-025-09666-9