180 citations as recorded by crossref.

1. Spatio-temporal variation in chemical characteristics of PM10 over Indo Gangetic Plain of India S. Sharma et al. 10.1007/s11356-016-7025-2
2. Transport of Po Valley aerosol pollution to the northwestern Alps – Part 2: Long-term impact on air quality H. Diémoz et al. 10.5194/acp-19-10129-2019
3. Composition and sources of carbonaceous aerosol in the European Arctic at Zeppelin Observatory, Svalbard (2017 to 2020) K. Yttri et al. 10.5194/acp-24-2731-2024
4. 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. 10.1007/s11356-017-8925-5
5. Sources of particulate-matter air pollution and its oxidative potential in Europe K. Daellenbach et al. 10.1038/s41586-020-2902-8
6. Evaluation of modelled LOTOS-EUROS with observational based PM10 source attribution R. Timmermans et al. 10.1016/j.aeaoa.2022.100173
7. Characterization of aerosol sources in León (Spain) using Positive Matrix Factorization and weather types F. Oduber et al. 10.1016/j.scitotenv.2020.142045
8. Variability of the Atmospheric PM10 Microbiome in Three Climatic Regions of France A. Samaké et al. 10.3389/fmicb.2020.576750
9. Source apportionment and water solubility of metals in size segregated particles in urban environments S. Jiang et al. 10.1016/j.scitotenv.2015.06.146
10. Rainfalls sprinkle cloud bacterial diversity while scavenging biomass R. Péguilhan et al. 10.1093/femsec/fiab144
11. Changes in domestic heating fuel use in Greece: effects on atmospheric chemistry and radiation E. Athanasopoulou et al. 10.5194/acp-17-10597-2017
12. 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. 10.1016/j.atmosenv.2019.04.008
13. An overview of particulate emissions from residential biomass combustion E. Vicente & C. Alves 10.1016/j.atmosres.2017.08.027
14. Trends, composition, and sources of carbonaceous aerosol at the Birkenes Observatory, northern Europe, 2001–2018 K. Yttri et al. 10.5194/acp-21-7149-2021
15. Effect of biomass burning over the western North Pacific Rim: wintertime maxima of anhydrosugars in ambient aerosols from Okinawa C. Zhu et al. 10.5194/acp-15-1959-2015
16. Vertical transport of PM and PM and its source identification in the street canyons of Chennai metropolitan city, India M. EzhilKumar et al. 10.1016/j.apr.2020.08.032
17. Source Apportionment of PM2.5 in Delhi, India Using PMF Model S. Sharma et al. 10.1007/s00128-016-1836-1
18. PM10 Chemical Profile during North African Dust Episodes over French West Indies P. Quénel et al. 10.3390/atmos12020277
19. 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. 10.1016/j.jes.2015.10.025
20. Chemical nature and sources of fine particles in urban Beijing: Seasonality and formation mechanisms Y. Gu et al. 10.1016/j.envint.2020.105732
21. 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. 10.5194/acp-18-9617-2018
22. 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. 10.1007/s11356-021-17635-8
23. Comparison of ionic and carbonaceous compositions of PM2.5 in 2009 and 2012 in Shanghai, China M. Zhao et al. 10.1016/j.scitotenv.2015.07.100
24. 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. 10.1016/j.atmosenv.2017.11.034
25. Insight into PM<sub>2.5</sub> sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing D. Srivastava et al. 10.5194/acp-21-14703-2021
26. Source identification and ambient trace element concentrations of PM10 using receptor modeling in an urban area of Chhattisgarh, India P. Khobragade & A. Ahirwar 10.1080/10106049.2022.2066201
27. Inhalation bioaccessibility and risk assessment for PM-bound organic components: Co-effects of component physicochemical properties, PM properties, and sources X. Liu et al. 10.1016/j.jhazmat.2023.132291
28. CCN measurements at the Princess Elisabeth Antarctica research station during three austral summers P. Herenz et al. 10.5194/acp-19-275-2019
29. The EMEP Intensive Measurement Period campaign, 2008–2009: characterizing carbonaceous aerosol at nine rural sites in Europe K. Yttri et al. 10.5194/acp-19-4211-2019
30. Carbonaceous Species of PM2.5 in Megacity Delhi, India During 2012–2016 S. Sharma et al. 10.1007/s00128-018-2313-9
31. PM10 oxidative potential at a Central Mediterranean Site: Association with chemical composition and meteorological parameters M. Pietrogrande et al. 10.1016/j.atmosenv.2018.06.013
32. Nine-year trends of PM10 sources and oxidative potential in a rural background site in France L. Borlaza et al. 10.5194/acp-22-8701-2022
33. A study on the reconstitution of daily PM10 and PM2.5 levels in Paris with a multivariate linear regression model K. Dimitriou & P. Kassomenos 10.1016/j.atmosenv.2014.09.047
34. 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. 10.5194/acp-19-11013-2019
35. Chemical Composition and Source Apportionment of PM10 in a Green-Roof Primary School Building N. Barmparesos et al. 10.3390/app10238464
36. Influence of different complexity levels of road traffic models on air quality modelling at street scale B. Vicente et al. 10.1007/s11869-018-0621-1
37. Seasonal and regional variations of source contributions for PM10 and PM2.5 in urban environment Y. Tian et al. 10.1016/j.scitotenv.2016.03.107
38. 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. 10.5194/acp-16-13753-2016
39. Long-range and local air pollution: what can we learn from chemical speciation of particulate matter at paired sites? M. Pandolfi et al. 10.5194/acp-20-409-2020
40. 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. 10.1016/j.scitotenv.2016.09.047
41. Source apportionment study on particulate air pollution in two high-altitude Bolivian cities: La Paz and El Alto V. Mardoñez et al. 10.5194/acp-23-10325-2023
42. 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. 10.1016/j.scitotenv.2024.170318
43. Identification and quantification of particulate tracers of exhaust and non-exhaust vehicle emissions A. Charron et al. 10.5194/acp-19-5187-2019
44. 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. 10.1016/j.scitotenv.2018.03.296
45. Organic tracers in fine and coarse aerosols at an urban Mediterranean site: contribution of biomass burning and biogenic emissions Á. Clemente et al. 10.1007/s11356-024-32789-x
46. Assessment of source contributions to air pollution in Beirut, Lebanon: a comparison of source-based and tracer-based modeling approaches A. Waked et al. 10.1007/s11869-014-0298-z
47. 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. 10.1016/j.jes.2020.06.027
48. Contributions of local and regional anthropogenic sources of metals in PM2.5 at an urban site in northern France F. Ledoux et al. 10.1016/j.chemosphere.2017.04.128
49. 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. 10.5194/gmd-10-2303-2017
50. 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. 10.1029/2018JD029976
51. 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. 10.1021/acsearthspacechem.1c00190
52. Variabilities of δ13C and carbonaceous components in ambient PM2.5 in Northeast India: Insights into sources and atmospheric processes A. Qadri et al. 10.1016/j.envres.2022.113801
53. Emissions from residential combustion sector: how to build a high spatially resolved inventory C. Silveira et al. 10.1007/s11869-017-0526-4
54. Receptor modeling of environmental aerosol data using MLPCA-MCR-ALS Y. Izadmanesh et al. 10.1016/j.chemolab.2017.05.008
55. Source apportionment of urban PM1 in Barcelona during SAPUSS using organic and inorganic components M. Brines et al. 10.1007/s11356-019-06199-3
56. Health Risk Assessment of Different Sources of Metals in PM 10 and PM 2.5 in the Largest City in Northeast India R. Garaga 10.1061/JHTRBP.HZENG-1311
57. Chemical characteristics and source apportionment of PM2.5 in a petrochemical city: Implications for primary and secondary carbonaceous component G. Yan et al. 10.1016/j.jes.2020.11.012
58. 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. 10.5194/acp-19-14253-2019
59. Background atmospheric conditions of high PM10 concentrations in Istanbul, Turkey H. Baltaci et al. 10.1016/j.apr.2020.06.020
60. 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. 10.1039/D3EA00007A
61. Seasonal Variation of Aerosol Composition and Sources of Water-Soluble Organic Carbon in an Eastern City of China J. Li et al. 10.3390/atmos13121968
62. Informed Weighted Non-Negative Matrix Factorization Using αβ-Divergence Applied to Source Apportionment G. Delmaire et al. 10.3390/e21030253
63. 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. 10.1007/s11869-015-0364-1
64. 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. 10.1016/j.atmosenv.2019.04.047
65. 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. 10.5194/acp-24-3257-2024
66. Chemical characterization and source apportionment of aerosol at an urban area of Central Delhi, India S. Sharma et al. 10.1016/j.apr.2015.08.002
67. 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. 10.1016/j.atmosenv.2023.119614
68. Comprehensive chemical characterization of industrial PM2.5 from steel industry activities A. Sylvestre et al. 10.1016/j.atmosenv.2016.12.032
69. 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. 10.1016/j.atmosenv.2018.08.022
70. Elemental Composition and Sources of Fine Particulate Matter (PM2.5) in Delhi, India S. Sharma & T. Mandal 10.1007/s00128-023-03707-7
71. Public Health Considerations for PM10 in a High-Pollution Megacity: Influences of Atmospheric Condition and Land Coverage C. Zafra et al. 10.3390/atmos12010118
72. Stable carbon and nitrogen isotopic characteristics of PM2.5 and PM10 in Delhi, India S. Sharma et al. 10.1007/s10874-022-09429-0
73. Source apportionment of atmospheric PM<sub>10</sub> oxidative potential: synthesis of 15 year-round urban datasets in France S. Weber et al. 10.5194/acp-21-11353-2021
74. Seasonal and annual trends of carbonaceous species of PM10 over a megacity Delhi, India during 2010–2017 S. Sharma et al. 10.1007/s10874-018-9379-y
75. 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. 10.3390/atmos12020207
76. Evaluation of receptor and chemical transport models for PM10 source apportionment C. Belis et al. 10.1016/j.aeaoa.2019.100053
77. 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. 10.1016/j.jhazmat.2015.10.065
78. Characteristics and sources of volatile organic compounds (VOCs) in Shanghai during summer: Implications of regional transport Y. Liu et al. 10.1016/j.atmosenv.2019.116902
79. 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. 10.1016/j.apr.2019.12.020
80. 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. 10.1016/j.atmosenv.2015.04.068
81. Role of the boundary layer dynamics effects on an extreme air pollution event in Paris J. Dupont et al. 10.1016/j.atmosenv.2016.06.061
82. Real-time measurement and source apportionment of elements in Delhi's atmosphere P. Rai et al. 10.1016/j.scitotenv.2020.140332
83. Disentangling fine particles (PM2.5) composition in Hanoi, Vietnam: Emission sources and oxidative potential P. Dominutti et al. 10.1016/j.scitotenv.2024.171466
84. Seasonal Variations and Chemical Predictors of Oxidative Potential (OP) of Particulate Matter (PM), for Seven Urban French Sites A. Calas et al. 10.3390/atmos10110698
85. 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. 10.5194/acp-21-1449-2021
86. Identifying the sources of PM2.5 at a COALESCE site in the Brahmaputra Valley Region using dispersion normalized PMF A. Qadri et al. 10.1016/j.atmosenv.2024.120501
87. 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. 10.3390/ijerph182312354
88. 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. 10.1016/j.cscee.2023.100366
89. Long-Term Variation in Carbonaceous Components of PM2.5 from 2012 to 2021 in Delhi S. Sharma et al. 10.1007/s00128-022-03506-6
90. Methods to Investigate the Global Atmospheric Microbiome A. Dommergue et al. 10.3389/fmicb.2019.00243
91. 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. 10.5194/acp-17-117-2017
92. Evolution of the chemical fingerprint of biomass burning organic aerosol during aging A. Bertrand et al. 10.5194/acp-18-7607-2018
93. Multi-city comparative PM2.5 source apportionment for fifteen sites in Europe: The ICARUS project D. Saraga et al. 10.1016/j.scitotenv.2020.141855
94. 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. 10.1016/j.envres.2020.110257
95. Disparities in particulate matter (PM<sub>10</sub>) origins and oxidative potential at a city scale (Grenoble, France) – Part 1: Source apportionment at three neighbouring sites L. Borlaza et al. 10.5194/acp-21-5415-2021
96. Investigation of four-year chemical composition and organic aerosol sources of submicron particles at the ATOLL site in northern France H. Chebaicheb et al. 10.1016/j.envpol.2023.121805
97. Increased industry contribution and atmospheric heavy metals from economic recovery in Spain C. Hao et al. 10.1016/j.jclepro.2019.119024
98. Size Distribution of Ambient Particulate Matter and Its Constituent Chemical Species Involving Saccharides During Early Summer in a Chinese Megacity J. Khan et al. 10.3389/fenvs.2021.659329
99. 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. 10.3390/toxics10030119
100. Speciation of organic fraction does matter for source apportionment. Part 1: A one-year campaign in Grenoble (France) D. Srivastava et al. 10.1016/j.scitotenv.2017.12.135
101. 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. 10.1016/j.jhazmat.2017.08.015
102. Substantial brown carbon emissions from wintertime residential wood burning over France Y. Zhang et al. 10.1016/j.scitotenv.2020.140752
103. 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. 10.1029/2021JD035050
104. The evolution of botanical biofilters: Developing practical phytoremediation of air pollution for the built environment T. Pettit et al. 10.32438/iCRBE.202012
105. 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. 10.1016/j.atmosenv.2018.08.015
106. The short- and long-term associations of particulate matter with inflammation and blood coagulation markers: A meta-analysis H. Tang et al. 10.1016/j.envpol.2020.115630
107. Spatial variation and chemical reactivity of dusts from open-pit bitumen mining using trace elements in snow F. Barraza et al. 10.1016/j.chemosphere.2023.141081
108. Measurement report: A 1-year study to estimate maritime contributions to PM10 in a coastal area in northern France F. Ledoux et al. 10.5194/acp-23-8607-2023
109. 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. 10.1016/j.atmosres.2018.08.005
110. Contrasts in chemical composition and oxidative potential in PM10 near flares in oil extraction and refining areas in Ecuador F. Barraza et al. 10.1016/j.atmosenv.2020.117302
111. Significant changes in the chemical compositions and sources of PM2.5 in Wuhan since the city lockdown as COVID-19 H. Zheng et al. 10.1016/j.scitotenv.2020.140000
112. Adapting the Vegetative Vigour Terrestrial Plant Test for assessing ecotoxicity of aerosol samples N. Kováts et al. 10.1007/s11356-017-9103-5
113. Tropical tropospheric aerosol sources and chemical composition observed at high altitude in the Bolivian Andes C. Moreno et al. 10.5194/acp-24-2837-2024
114. ARIMA analysis of the effect of land surface coverage on PM 10 concentrations in a high-altitude megacity C. Zafra et al. 10.1016/j.apr.2017.01.002
115. High levels of primary biogenic organic aerosols are driven by only a few plant-associated microbial taxa A. Samaké et al. 10.5194/acp-20-5609-2020
116. Impact of aging on the sources, volatility, and viscosity of organic aerosols in Chinese outflows T. Feng et al. 10.5194/acp-23-611-2023
117. Chemical composition and source identification of PM10 in five North Western European cities S. Hama et al. 10.1016/j.atmosres.2018.07.014
118. Fine particulate matter in the tropical environment: monsoonal effects, source apportionment, and health risk assessment M. Khan et al. 10.5194/acp-16-597-2016
119. Factor analysis and back trajectory of PM and its metal constituents Y. Yusup et al. 10.1080/15275922.2016.1177757
120. Properties of black carbon and other insoluble light-absorbing particles in seasonal snow of northwestern China W. Pu et al. 10.5194/tc-11-1213-2017
121. Submicron aerosol source apportionment of wintertime pollution in Paris, France by double positive matrix factorization (PMF<sup>2</sup>) using an aerosol chemical speciation monitor (ACSM) and a multi-wavelength Aethalometer J. Petit et al. 10.5194/acp-14-13773-2014
122. Origin and variability in volatile organic compounds observed at an Eastern Mediterranean background site (Cyprus) C. Debevec et al. 10.5194/acp-17-11355-2017
123. Organic markers and OC source apportionment for seasonal variations of PM2.5 at 5 rural sites in France B. Golly et al. 10.1016/j.atmosenv.2018.10.027
124. 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. 10.5194/acp-21-7293-2021
125. 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. 10.1016/j.ecoenv.2019.109740
126. Comprehensive chemical characterization of PM2.5 in the large East Mediterranean-Middle East city of Beirut, Lebanon N. Fakhri et al. 10.1016/j.jes.2022.07.010
127. 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. 10.1016/j.scitotenv.2017.11.092
128. Molecular markers of biomass burning and primary biological aerosols in urban Beijing: size distribution and seasonal variation S. Xu et al. 10.5194/acp-20-3623-2020
129. Highly time-resolved measurements of element concentrations in PM<sub>10</sub> and PM<sub>2.5</sub>: comparison of Delhi, Beijing, London, and Krakow P. Rai et al. 10.5194/acp-21-717-2021
130. Nighttime–daytime PM10 source apportionment and toxicity in a remoteness inland city of the Iberian Peninsula Y. Cipoli et al. 10.1016/j.atmosenv.2023.119771
131. The importance of simulated lung fluid (SLF) extractions for a more relevant evaluation of the oxidative potential of particulate matter A. Calas et al. 10.1038/s41598-017-11979-3
132. 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. 10.3390/atmos10070370
133. 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. 10.1016/j.atmosenv.2017.02.012
134. 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. 10.1016/j.atmosenv.2023.120072
135. 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 10.1016/j.uclim.2017.05.009
136. Molecular composition and source apportionment of fine organic aerosols in Northeast China X. Wu et al. 10.1016/j.atmosenv.2020.117722
137. The filter-loading effect by ambient aerosols in filter absorption photometers depends on the coating of the sampled particles L. Drinovec et al. 10.5194/amt-10-1043-2017
138. Measurements of aerosol and CCN properties in the Mackenzie River delta (Canadian Arctic) during spring–summer transition in May 2014 P. Herenz et al. 10.5194/acp-18-4477-2018
139. A user-friendly tool for comprehensive evaluation of the geographical origins of atmospheric pollution: Wind and trajectory analyses J. Petit et al. 10.1016/j.envsoft.2016.11.022
140. Diurnal changes of PM10-emission from arable soils in NE-Germany C. Hoffmann & R. Funk 10.1016/j.aeolia.2015.03.002
141. Characterization of ambient volatile organic compounds, source apportionment, and the ozone–NO<sub>x</sub>–VOC sensitivities in a heavily polluted megacity of central China: effect of sporting events and emission reductions S. Yu et al. 10.5194/acp-21-15239-2021
142. 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. 10.1016/j.envres.2022.114989
143. 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. 10.1016/j.atmosenv.2023.119619
144. 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. 10.5194/acp-15-2985-2015
145. Refined source apportionment of coal combustion sources by using single particle mass spectrometry J. Xu et al. 10.1016/j.scitotenv.2018.01.269
146. 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. 10.1016/j.atmosenv.2016.05.032
147. Vertical and horizontal variability of PM<sub>10</sub> source contributions in Barcelona during SAPUSS M. Brines et al. 10.5194/acp-16-6785-2016
148. Study of PM2.5 Using PMF Receptor Model and Advancement of Source Apportionment I. Ryoo et al. 10.5572/KOSAE.2022.38.4.493
149. PM2.5 source apportionment for the port city of Thessaloniki, Greece D. Saraga et al. 10.1016/j.scitotenv.2018.09.250
150. Seasonal observation and source apportionment of carbonaceous aerosol from forested rural site (Lithuania) A. Masalaite et al. 10.1016/j.atmosenv.2021.118934
151. Chemically speciated mass size distribution, particle density, shape and origin of non-refractory PM<sub>1</sub> measured at a rural background site in central Europe P. Pokorná et al. 10.5194/acp-22-5829-2022
152. 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. 10.1016/j.atmosenv.2017.07.003
153. Review of Particulate Matter and Elemental Composition of Aerosols at Selected Locations in Nigeria from 1985–2015 I. Offor et al. 10.5696/2156-9614-6-10.1
154. 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. 10.1016/j.atmosenv.2018.11.041
155. Source apportionment of fine particulate matter in a Middle Eastern Metropolis, Tehran-Iran, using PMF with organic and inorganic markers S. Esmaeilirad et al. 10.1016/j.scitotenv.2019.135330
156. Disparities in particulate matter (PM<sub>10</sub>) origins and oxidative potential at a city scale (Grenoble, France) – Part 2: Sources of PM<sub>10</sub> oxidative potential using multiple linear regression analysis and the predictive applicability of multilayer perceptron neural network analysis L. Borlaza et al. 10.5194/acp-21-9719-2021
157. Influence of operating conditions on chemical composition of particulate matter emissions from residential combustion E. Vicente et al. 10.1016/j.atmosres.2015.06.016
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