389 citations as recorded by crossref.

1. Characterization and source apportionment of health risks from ambient PM 10 in Hong Kong over 2000–2011 Z. Li et al. 10.1016/j.atmosenv.2015.06.025
2. Source apportionment of PM2.5 using dispersion normalized positive matrix factorization (DN-PMF) in Beijing and Baoding, China I. Ryoo et al. 10.1016/j.jes.2024.10.029
3. Wildfires and wood stoves: Woodsmoke toxicity and chemical characterization study in the north-western United States O. Hadley et al. 10.1016/j.atmosenv.2021.118347
4. Source Apportionment of Brown Carbon Absorption by Coupling Ultraviolet–Visible Spectroscopy with Aerosol Mass Spectrometry V. Moschos et al. 10.1021/acs.estlett.8b00118
5. 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. 10.3390/atmos15080938
6. Collocated Measurements of Light‐Absorbing Organic Carbon in PM2.5: Observation Uncertainty and Organic Tracer‐Based Source Apportionment M. Xie et al. 10.1029/2021JD035874
7. Subsurface void mapping using geophysical and geotechnical techniques with uncertainties estimation: case study of Kinta Valley, Perak, Malaysia A. Arisona et al. 10.1007/s42452-020-2967-x
8. Seasonal variations, temperature dependence, and sources of size-resolved PM components in Nanjing, east China M. Xie et al. 10.1016/j.jes.2021.12.022
9. Unveiling PM2.5 sources: Double and tracer conjugate PMF approaches for high-resolution organic, BC, and inorganic PM2.5 data M. Faisal et al. 10.1016/j.atmosenv.2024.121011
10. Positive Matrix Factorization dynamics in fingerprinting: A comparative study of PMF2 and EPA-PMF3 for source apportionment of sediment polychlorinated biphenyls F. Karakas et al. 10.1016/j.envpol.2016.07.066
11. PMF5.0 vs. CMB8.2: An inter-comparison study based on the new European SPECIEUROPE database M. Bove et al. 10.1016/j.atmosres.2017.10.021
12. Long-Term Changes of Source Apportioned Particle Number Concentrations in a Metropolitan Area of the Northeastern United States S. Squizzato et al. 10.3390/atmos10010027
13. Levels and sources of hourly PM2.5-related elements during the control period of the COVID-19 pandemic at a rural site between Beijing and Tianjin Y. Cui et al. 10.1016/j.scitotenv.2020.140840
14. Real-time measurements of non-methane volatile organic compounds in the central Indo-Gangetic basin, Lucknow, India: source characterisation and their role in O3 and secondary organic aerosol formation V. Jain et al. 10.5194/acp-23-3383-2023
15. Improving apportionment of PM2.5 using multisite PMF by constraining G-values with a prioriinformation Q. Dai et al. 10.1016/j.scitotenv.2020.139657
16. Characterization of aerosol sources in León (Spain) using Positive Matrix Factorization and weather types F. Oduber et al. 10.1016/j.scitotenv.2020.142045
17. Source apportionment of ambient PM10−2.5 and PM2.5 for the Vaal Triangle, South Africa L. Muyemeki et al. 10.17159/sajs.2021/8617
18. Exploring PM2.5 pollution in a representative Northern Chinese county: Insights for air quality management J. Ma et al. 10.1016/j.apr.2025.102470
19. 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
20. Highly time-resolved chemical speciation and source apportionment of organic aerosol components in Delhi, India, using extractive electrospray ionization mass spectrometry V. Kumar et al. 10.5194/acp-22-7739-2022
21. Characterization and Source Analysis of Pollution Caused by Atmospheric Volatile Organic Compounds in the Spring, Kunming, China S. Xie et al. 10.3390/atmos14121767
22. Assessment of fine and sub-micrometer aerosols at an urban environment of Argentina M. Achad et al. 10.1016/j.atmosenv.2014.05.001
23. PM2.5 in Abuja, Nigeria: Chemical characterization, source apportionment, temporal variations, transport pathways and the health risks assessment I. Sulaymon et al. 10.1016/j.atmosres.2019.104833
24. Optical source apportionment of aqueous brown carbon (BrC) on a daytime and nighttime basis in the eastern Indo-Gangetic Plain (IGP) and insights from 13C and 15N isotopic signatures S. Dey et al. 10.1016/j.scitotenv.2023.164872
25. Changes in source specific PM2.5 from 2010 to 2019 in New York and New Jersey identified by dispersion normalized PMF Y. Chen et al. 10.1016/j.atmosres.2024.107353
26. Optical source apportionment and radiative effect of light-absorbing carbonaceous aerosols in a tropical marine monsoon climate zone: the importance of ship emissions Q. Wang et al. 10.5194/acp-20-15537-2020
27. Source apportionment of PM10 particles in the urban atmosphere using PMF and LPO-XGBoost Y. Liu et al. 10.1016/j.envres.2025.121659
28. Potentially toxic element source apportionment and risk assessment in agricultural soils around a large-scale Pb-Zn mine in Southwest China H. Wei et al. 10.1016/j.jece.2024.113722
29. Climatology of aerosol properties at an atmospheric monitoring site on the northern California coast E. Boedicker et al. 10.5194/acp-23-9525-2023
30. Two distinct ship emission profiles for organic-sulfate source apportionment of PM in sulfur emission control areas K. Fossum et al. 10.5194/acp-24-10815-2024
31. Distribution, pollution status, and source apportionment of trace metals in lake sediments under the influence of the South-to-North Water Transfer Project, China W. Zhuang et al. 10.1016/j.scitotenv.2019.03.306
32. Source apportionment of heavy metals in soils around a coal gangue heap with the APCS-MLR and PMF receptor models in Chongqing, southwest China J. Ma et al. 10.1007/s11629-022-7819-2
33. Atmospheric chemical source signatures from proton-transfer reaction mass spectrometry aid in the interpretation of ambient aerosol distributions M. Striednig et al. 10.1088/1402-4896/ada18f
34. Eight years of sub-micrometre organic aerosol composition data from the boreal forest characterized using a machine-learning approach L. Heikkinen et al. 10.5194/acp-21-10081-2021
35. Urban increments of gaseous and aerosol pollutants and their sources using mobile aerosol mass spectrometry measurements M. Elser et al. 10.5194/acp-16-7117-2016
36. Molecular and elemental marker-based source apportionment of fine particulate matter at six sites in Hong Kong, China W. Chow et al. 10.1016/j.scitotenv.2021.152652
37. Mapping Source-Specific Air Pollution Exposures Using Positive Matrix Factorization Applied to Multipollutant Mobile Monitoring in Seattle, WA N. Liu et al. 10.1021/acs.est.4c13242
38. Atmospheric volatile halogenated hydrocarbons in air pollution episodes in an urban area of Beijing: Characterization, health risk assessment and sources apportionment H. Zhang et al. 10.1016/j.scitotenv.2021.150283
39. Trends and source apportionment of atmospheric heavy metals at a subarctic site during 1996–2018 K. Kyllönen et al. 10.1016/j.atmosenv.2020.117644
40. Sources of particulate matter components in the Athabasca oil sands region: investigation through a comparison of trace element measurement methodologies C. Phillips-Smith et al. 10.5194/acp-17-9435-2017
41. Biomass-burning sources control ambient particulate matter, but traffic and industrial sources control volatile organic compound (VOC) emissions and secondary-pollutant formation during extreme pollution events in Delhi A. Awasthi et al. 10.5194/acp-24-10279-2024
42. 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
43. Sources of airborne particulate matter-bound metals and spatial-seasonal variability of health risk potentials in four large cities, South Korea E. Choi et al. 10.1007/s11356-021-18445-8
44. Investigating the plausibility of a PMF source apportionment solution derived using a small dataset: A case study from a receptor in a rural site in Apulia - South East Italy M. Scerri et al. 10.1016/j.chemosphere.2019.124376
45. Receptor modeling of environmental aerosol data using MLPCA-MCR-ALS Y. Izadmanesh et al. 10.1016/j.chemolab.2017.05.008
46. PM2.5 source apportionment identified with total and soluble elements in positive matrix factorization W. Li et al. 10.1016/j.scitotenv.2022.159948
47. 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
48. Evaluation of the Sources, Precursors, and Processing of Aerosols at a High-Altitude Tropical Site P. Dominutti et al. 10.1021/acsearthspacechem.2c00149
49. Source Apportionment of Airborne Dioxins, Furans, and Polycyclic Aromatic Hydrocarbons at a United States Forward Operating Air Base During the Iraq War M. Masiol et al. 10.1097/JOM.0000000000000759
50. Current status of source apportionment of ambient aerosols in India S. Yadav et al. 10.1016/j.atmosenv.2022.118987
51. Passive air sampling of VOCs, O3, NO2, and SO2 in the large industrial city of Ulsan, South Korea: spatial–temporal variations, source identification, and ozone formation potential S. Kim et al. 10.1007/s11356-023-31109-z
52. Residential coal combustion as a source of primary sulfate in Xi'an, China Q. Dai et al. 10.1016/j.atmosenv.2018.10.002
53. Real-time measurement and source apportionment of elements in Delhi's atmosphere P. Rai et al. 10.1016/j.scitotenv.2020.140332
54. Source Characteristics and Their Changes in PM2.5 in Ulsan: Based on PMF Results for 2020 Observations and a Review of Source Profiles Reported in Korea J. Park et al. 10.5572/KOSAE.2023.39.1.42
55. Tracing the Formation of Secondary Aerosols Influenced by Solar Radiation and Relative Humidity in Suburban Environment Y. Wu et al. 10.1029/2022JD036913
56. Characteristics and sources of carbonaceous aerosols in a semi-arid city: Quantifying anthropogenic and meteorological impacts P. Liu et al. 10.1016/j.chemosphere.2023.139056
57. Systematic Evaluation of Two Classical Receptor Models in Source Apportionment of Soil Heavy Metal(loid) Pollution Using Synthetic and Real-World Datasets Y. Hu et al. 10.1021/acs.est.2c01854
58. From dust to the sources: The first quantitative assessment of the relative contributions of emissions sources to elements (toxic and non-toxic) in the urban roads of Tehran, Iran M. Ali-Taleshi et al. 10.1016/j.microc.2022.107817
59. Quantitative Source Apportionment and Uncertainty Analysis of Heavy Metal(loid)s in the Topsoil of the Nansi Lake Nature Reserve D. Zhao et al. 10.3390/su14116679
60. Spatial variability of pollution source contributions during two (2012–2013 and 2018–2019) sampling campaigns at ten sites in Los Angeles basin I. Stanimirova et al. 10.1016/j.envpol.2024.124244
61. Identifying the hygroscopic properties of fine aerosol particles from diverse sources in urban atmosphere and the applicability in prediction of cloud nuclei J. Ren et al. 10.1016/j.atmosenv.2023.119615
62. Sources and their contributions of ambient PM2.5 concentrations in an industrial area of Atlanta from 1998 to 2016 I. Stanimirova et al. 10.1016/j.atmosenv.2024.120944
63. Chemical composition, source distribution and health risk assessment of PM2.5 and PM10 in Beijing S. Zhen et al. 10.1016/j.apr.2025.102448
64. Effectively controlling hazardous airborne elements: Insights from continuous hourly observations during the seasons with the most unfavorable meteorological conditions after the implementation of the APPCAP X. Yang et al. 10.1016/j.jhazmat.2019.121710
65. Relationship between the Optical Properties and Chemical Composition of Urban Aerosol Particles in Lithuania J. Pauraite et al. 10.1155/2018/8674173
66. An integrated method for source apportionment of heavy metal(loid)s in agricultural soils and model uncertainty analysis Y. Wang et al. 10.1016/j.envpol.2021.116666
67. Characterization and Source Apportionment of Fine Particles during a Heavy Pollution Episode over the Yangtze River Delta, China L. Xia et al. 10.3390/atmos11070720
68. Ozone precursors and boundary layer meteorology before and during a severe ozone episode in Mexico city T. Akther et al. 10.1016/j.chemosphere.2023.137978
69. Source Identification and Apportionment of Potential Toxic Elements in Soils in an Eastern Industrial City, China F. Li et al. 10.3390/ijerph19106132
70. Source apportionment analyses for fine (PM 2.5 ) and coarse (PM 2.5–10 ) mode particulate matter (PM) measured in an urban area in southwestern Nigeria K. Owoade et al. 10.1016/j.apr.2016.04.006
71. Compositional mapping, uncertainty assessment, and source apportionment via pollution assessment-based receptor models in urban and peri-urban agricultural soils P. Agyeman et al. 10.1007/s11368-022-03417-3
72. Probabilistic analysis of water quality deterioration and health risks assessment incorporating machine learning techniques in Mhlathuze catchment, South Africa O. Akinpelu et al. 10.1080/10807039.2025.2500382
73. Implementing constrained multi-time approach with bootstrap analysis in ME-2: An application to PM2.5 data from Florence (Italy) A. Crespi et al. 10.1016/j.scitotenv.2015.08.159
74. A long-term, dispersion normalized PMF source apportionment of PM2.5 in Atlanta from 2005 to 2019 I. Stanimirova et al. 10.1016/j.atmosenv.2023.120027
75. Seasonal variability of volatile organic compounds (VOCs) at a high-altitude station in the Western Ghats, India: Influence of biogenic, anthropogenic emissions and long-range transport S. Mukherjee et al. 10.1016/j.atmosenv.2024.120598
76. Spatial distribution and source identification of metal contaminants in the surface soil of Matehuala, Mexico based on positive matrix factorization model and GIS techniques A. Saha et al. 10.3389/fsoil.2022.1041377
77. Chemical composition and source apportionment of atmospheric aerosols on the Namibian coast D. Klopper et al. 10.5194/acp-20-15811-2020
78. Integrating spatial heterogeneity and speciation dynamics in source apportionment of toxic metal(loid)s at an abandoned hydrometallurgical zinc smelting site H. Liu et al. 10.1007/s10653-025-02469-x
79. PM2.5 Elements in the Rural Area of Jing-Jin-Ji Region in China: Source Identification and Health Risk Assessment Y. Qu et al. 10.1007/s41810-021-00112-7
80. Application of PMF and CMB receptor models for the evaluation of the contribution of a large coal-fired power plant to PM10 concentrations D. Contini et al. 10.1016/j.scitotenv.2016.04.031
81. An in-depth investigation of the influence of sample size on PCA-MLR, PMF, and FA-NNC source apportionment results J. Feng et al. 10.1007/s10653-023-01598-5
82. PM2.5 elements at an urban site in Yangtze River Delta, China: High time-resolved measurement and the application in source apportionment Y. Yu et al. 10.1016/j.envpol.2019.07.096
83. Chemical composition of cloud and rainwater at a high-altitude mountain site in western India: source apportionment and potential factors R. Gawhane et al. 10.1007/s11356-024-34793-7
84. Analysis of the contribution to PM10 concentrations of the largest coal-fired power plant of Italy in four different sites D. Cesari et al. 10.1016/j.apr.2021.101135
85. Seasonal variability and source apportionment of volatile organic compounds (VOCs) in the Paris megacity (France) A. Baudic et al. 10.5194/acp-16-11961-2016
86. Polyols and glucose particulate species as tracers of primary biogenic organic aerosols at 28 French sites A. Samaké et al. 10.5194/acp-19-3357-2019
87. Comparison of PM10 Sources Profiles at 15 French Sites Using a Harmonized Constrained Positive Matrix Factorization Approach S. Weber et al. 10.3390/atmos10060310
88. A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data F. Canonaco et al. 10.5194/amt-14-923-2021
89. Dust Sources in the Salton Sea Basin: A Clear Case of an Anthropogenically Impacted Dust Budget A. Frie et al. 10.1021/acs.est.9b02137
90. Chemical composition and source apportionment of PM 2.5 – A case study from one year continuous sampling in the Chang-Zhu-Tan urban agglomeration X. Tang et al. 10.1016/j.apr.2017.02.004
91. Temporal and spatial variability of traffic-related PM2.5 sources: Comparison of exhaust and non-exhaust emissions C. Jeong et al. 10.1016/j.atmosenv.2018.10.038
92. Sources of atmospheric light-absorbing fine aerosols: Insights from optical source apportionment utilizing measurements made during COVID-19 lockdowns at a COALESCE network site - Bhopal, India A. Bhardwaj & R. Sunder Raman 10.1016/j.atmosenv.2024.120343
93. An inter-comparison of PM2.5 at urban and urban background sites: Chemical characterization and source apportionment D. Cesari et al. 10.1016/j.atmosres.2016.02.004
94. Contamination, Source Identification, Ecological and Human Health Risks Assessment of Potentially Toxic-Elements in Soils of Typical Rare-Earth Mining Areas J. Fan et al. 10.3390/ijerph192215105
95. Source apportionment by PMF on elemental concentrations obtained by PIXE analysis of PM10 samples collected at the vicinity of lignite power plants and mines in Megalopolis, Greece M. Manousakas et al. 10.1016/j.nimb.2015.02.037
96. Impacts of COVID‐19 on Black Carbon in Two Representative Regions in China: Insights Based on Online Measurement in Beijing and Tibet Y. Liu et al. 10.1029/2021GL092770
97. A novel calibration method for continuous airborne metal measurements: Implications for aerosol source apportionment Y. Zhu et al. 10.1016/j.scitotenv.2023.168274
98. First long-term and near real-time measurement of trace elements in China's urban atmosphere: temporal variability, source apportionment and precipitation effect Y. Chang et al. 10.5194/acp-18-11793-2018
99. Characterization of aerosol mass spectra responses to temperature over a forest site in Lithuania J. Pauraite et al. 10.1016/j.jaerosci.2019.03.010
100. Reapportioning the sources of secondary components of PM2.5: A combined application of positive matrix factorization and isotopic evidence Z. Sun et al. 10.1016/j.scitotenv.2020.142925
101. Source Apportionment and Toxic Potency of PM2.5-Bound Polycyclic Aromatic Hydrocarbons (PAHs) at an Island in the Middle of Bohai Sea, China L. Qu et al. 10.3390/atmos13050699
102. Impacts of COVID-19 lockdown on PM2.5-bound polycyclic aromatic hydrocarbons in Hohhot, Northern China: characteristics, sources, and source-specific health risks K. Ji et al. 10.1186/s12940-025-01161-y
103. Chemical characterization of PM10 samples collected simultaneously at a rural and an urban site in the Caribbean coast: Local and long-range source apportionment Y. Morera-Gómez et al. 10.1016/j.atmosenv.2018.08.058
104. The role of chemometrics in improving clinical data analysis and diagnostics I. Stanimirova et al. 10.1016/j.trac.2024.117642
105. Use of combined receptor modeling technique for prediction of possible sources of particulate pollution in Kozhikode, India K. Keerthi et al. 10.1007/s13762-019-02553-7
106. Multi-year chemical composition of the fine-aerosol fraction in Athens, Greece, with emphasis on the contribution of residential heating in wintertime C. Theodosi et al. 10.5194/acp-18-14371-2018
107. ESAT: Environmental Source Apportionment Toolkit Python package D. Smith et al. 10.21105/joss.07316
108. Online measurement of aerosol inorganic and organic nitrogen based on thermal evolution and chemiluminescent detection J. Li et al. 10.1016/j.atmosenv.2021.118905
109. High-time resolution PM2.5 source apportionment assisted by spectrum-based characteristics analysis J. Liu et al. 10.1016/j.scitotenv.2023.169055
110. Vehicle exhausts contribute high near-UV absorption through carbonaceous aerosol during winter in a fast-growing city of Sichuan Basin, China S. Liu et al. 10.1016/j.envpol.2022.119966
111. Variability and sources of non-methane hydrocarbons at a Mediterranean urban atmosphere: The role of biomass burning and traffic emissions A. Panopoulou et al. 10.1016/j.scitotenv.2021.149389
112. Characterization of PM2.5-Bound Polycyclic Aromatic Hydrocarbons at Two Central China Cities: Seasonal Variation, Sources, and Health Risk Assessment Q. Wang et al. 10.1007/s00244-019-00671-4
113. Investigating the Complexities of VOC Sources in Mexico City in the Years 2016–2022 M. Alam et al. 10.3390/atmos15020179
114. A novel approach for simple statistical analysis of high-resolution mass spectra Y. Zhang et al. 10.5194/amt-12-3761-2019
115. A comprehensive exploration of characteristics and source attribution of carbonaceous aerosols in PM2.5 in an East China megacity L. Duan et al. 10.1016/j.envpol.2023.123239
116. Assessment of particulate toxic metals at an Environmental Justice community O. Ryder et al. 10.1016/j.aeaoa.2020.100070
117. Source-specific lung cancer risk assessment of ambient PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) in central Tehran S. Taghvaee et al. 10.1016/j.envint.2018.08.003
118. Health effects of PM2.5 constituents and source contributions in major metropolitan cities, South Korea S. Kim et al. 10.1007/s11356-022-21592-1
119. Using a new WALSPMF model to quantify the source contributions to PM2.5 at a harbour site in China G. Shi et al. 10.1016/j.atmosenv.2015.11.046
120. Polycyclic aromatic hydrocarbons from cooking emissions C. Lin et al. 10.1016/j.scitotenv.2021.151700
121. Investigating African trace gas sources, vertical transport, and oxidation using IAGOS-CARIBIC measurements between Germany and South Africa between 2009 and 2011 U. Thorenz et al. 10.1016/j.atmosenv.2017.03.021
122. Investigating the industrial origin of terpenoids in a coastal city in northern France: A source apportionment combining anthropogenic, biogenic, and oxygenated VOC M. Farhat et al. 10.1016/j.scitotenv.2024.172098
123. High-resolution sampling and analysis of ambient particulate matter in the Pearl River Delta region of southern China: source apportionment and health risk implications S. Zhou et al. 10.5194/acp-18-2049-2018
124. WITHDRAWN: Source apportionment of fine PM by combining high time resolution organic and inorganic chemical composition datasets C. Belis et al. 10.1016/j.atmosenv.2019.116816
125. Uncertainty in positive matrix factorization solutions for PAHs in surface sediments of the Yangtze River Estuary in different seasons R. Liu et al. 10.1016/j.chemosphere.2017.10.070
126. Identification and apportionment of local and long-range sources of PM2.5 in two East-Mediterranean sites M. Fadel et al. 10.1016/j.apr.2022.101622
127. Source apportionment in PM2.5 in central Japan using positive matrix factorization focusing on small-scale local biomass burning F. Ikemori et al. 10.1016/j.apr.2021.01.006
128. Identification priority source of soil heavy metals pollution based on source-specific ecological and human health risk analysis in a typical smelting and mining region of South China L. Zhou et al. 10.1016/j.ecoenv.2022.113864
129. Investigating the Sources of Urban Air Pollution Using Low-Cost Air Quality Sensors at an Urban Atlanta Site L. Yang et al. 10.1021/acs.est.1c07005
130. Source apportionment of particle-bound polycyclic aromatic hydrocarbons (PAHs), oxygenated PAHs (OPAHs), and their associated long-term health risks in a major European city I. Tsiodra et al. 10.1016/j.scitotenv.2024.175416
131. Environmental forensic approach towards unraveling contamination sources with receptor models: A case study in Nakdong River, South Korea J. Jung et al. 10.1016/j.scitotenv.2023.164554
132. Robust Bayesian multivariate receptor modeling E. Park & M. Oh 10.1016/j.chemolab.2015.08.021
133. Source apportionment, identification and characterization, and emission inventory of ambient particulate matter in 22 Eastern Mediterranean Region countries: A systematic review and recommendations for good practice S. Faridi et al. 10.1016/j.envpol.2022.119889
134. Chemical characterization and source apportionment of atmospheric fine particulate matter (PM2.5) at an urban site in Astana, Kazakhstan G. Ormanova et al. 10.1016/j.apr.2024.102324
135. Spatial distribution, environmental risks, and sources of potentially toxic elements in soils from a typical abandoned antimony smelting site S. Xue et al. 10.1016/j.jes.2022.07.009
136. Characterization and Spatial Source Apportionments of Ambient PM10 and PM2.5 during the Heating Period in Tian’jin, China B. Liu et al. 10.4209/aaqr.2019.06.0281
137. The application of positive matrix factorization with diagnostics to BIG DATA P. Hopke et al. 10.1016/j.chemolab.2023.104885
138. Application of Positive Matrix Factorization Receptor Model for Source Identification of PM10 in the City of Sofia, Bulgaria E. Hristova et al. 10.3390/atmos11090890
139. Sources identification and health risk assessment of heavy metals in total suspended particulates (TSP) in a geochemical anomaly area influenced by historical indigenous zinc smelting activities Q. Zhang et al. 10.1007/s10653-025-02363-6
140. Analysis of gas chromatography/mass spectrometry data for catalytic lignin depolymerization using positive matrix factorization Y. Gao et al. 10.1039/C8GC01474D
141. Composition and source apportionment of PM1 at urban site Kanpur in India using PMF coupled with CBPF P. Rai et al. 10.1016/j.atmosres.2016.04.015
142. The effect of ventilation on air particulate matter in school classrooms W. Trompetter et al. 10.1016/j.jobe.2018.03.009
143. Particulate matter (PM10) patterns in Europe: An exploratory data analysis using non-negative matrix factorization J. Žibert et al. 10.1016/j.atmosenv.2016.03.005
144. Changes in the hospitalization and ED visit rates for respiratory diseases associated with source-specific PM2.5 in New York State from 2005 to 2016 P. Hopke et al. 10.1016/j.envres.2019.108912
145. Elucidating the responses of highly time-resolved PM2.5 related elements to extreme emission reductions K. Cheng et al. 10.1016/j.envres.2021.112624
146. Source apportionment and risk assessment of metal pollution in natural biofilms and surface water along the Lancang River, China C. Wen et al. 10.1016/j.scitotenv.2022.156977
147. A review on the role of dispersion and receptor models in asthma research D. de Ferreyro Monticelli et al. 10.1016/j.envpol.2021.117529
148. Analysis of Volatile Organic Compounds during the OCTAVE Campaign: Sources and Distributions of Formaldehyde on Reunion Island M. Rocco et al. 10.3390/atmos11020140
149. Enhancing source apportionment of carbon, nitrogen, and phosphorus through integrating PMF and observed source profiles in a subtropical river Y. Sheng et al. 10.1016/j.heliyon.2024.e38190
150. Characterization of Primary Organic Aerosol from Domestic Wood, Peat, and Coal Burning in Ireland C. Lin et al. 10.1021/acs.est.7b01926
151. Long-term trends in concentrations and sources of PM2.5–bound metals and elements in central Los Angeles V. Farahani et al. 10.1016/j.atmosenv.2021.118361
152. Source apportionment of volatile organic compounds during paddy-residue burning season in north-west India reveals large pool of photochemically formed air toxics R. Singh et al. 10.1016/j.envpol.2023.122656
153. Source apportionment of polychlorinated biphenyls (PCBs) using different receptor models: A case study on sediment from the Portland Harbor Superfund Site (PHSS), Oregon, USA D. Megson et al. 10.1016/j.scitotenv.2023.162231
154. Triggering of cardiovascular hospital admissions by source specific fine particle concentrations in urban centers of New York State D. Rich et al. 10.1016/j.envint.2019.02.018
155. A partition computing-based positive matrix factorization (PC-PMF) approach for the source apportionment of agricultural soil heavy metal contents and associated health risks J. Wu et al. 10.1016/j.jhazmat.2019.121766
156. Heavy metal pollution in agricultural soils from surrounding industries with low emissions: Assessing contamination levels and sources C. Yao et al. 10.1016/j.scitotenv.2024.170610
157. 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
158. Seasonal variability of PM2.5 and PM10 composition and sources in an urban background site in Southern Italy D. Cesari et al. 10.1016/j.scitotenv.2017.08.230
159. Atmospheric water-soluble organic nitrogen (WSON) in the eastern Mediterranean: origin and ramifications regarding marine productivity M. Nehir & M. Koçak 10.5194/acp-18-3603-2018
160. Review of receptor modeling methods for source apportionment P. Hopke 10.1080/10962247.2016.1140693
161. Tracing and quantifying the source of heavy metals in agricultural soils in a coal gangue stacking area: Insights from isotope fingerprints and receptor models C. Yao et al. 10.1016/j.scitotenv.2022.160882
162. High time-resolved PM2.5 composition and sources at an urban site in Yangtze River Delta, China after the implementation of the APPCAP Y. Yu et al. 10.1016/j.chemosphere.2020.127746
163. ACTRIS ACSM intercomparison – Part 2: Intercomparison of ME-2 organic source apportionment results from 15 individual, co-located aerosol mass spectrometers R. Fröhlich et al. 10.5194/amt-8-2555-2015
164. Using multi-site data to apportion PM-bound metal(loid)s: Impact of a manganese alloy plant in an urban area A. Hernández-Pellón & I. Fernández-Olmo 10.1016/j.scitotenv.2018.09.261
165. XRF characterization and source apportionment of PM10 samples collected in a coastal city M. Manousakas et al. 10.1002/xrs.2817
166. Source Apportionment and Toxic Potency of Polycyclic Aromatic Hydrocarbons (PAHs) in the Air of Harbin, a Cold City in Northern China H. Liu et al. 10.3390/atmos12030297
167. High-time-resolution source apportionment of PM2.5 in Beijing with multiple models Y. Liu et al. 10.5194/acp-19-6595-2019
168. Dispersion Normalized PMF Provides Insights into the Significant Changes in Source Contributions to PM2.5 after the COVID-19 Outbreak Q. Dai et al. 10.1021/acs.est.0c02776
169. Chemical composition and source apportionment of PM2.5 and PM2.5–10 in Trombay (Mumbai, India), a coastal industrial area S. Police et al. 10.1016/j.partic.2017.09.006
170. Global review of source apportionment of volatile organic compounds based on highly time-resolved data from 2015 to 2021 Y. Yang et al. 10.1016/j.envint.2022.107330
171. Quantitative stakeholder-driven assessment of radiation protection issues via a PIANOFORTE online survey V. Groma et al. 10.1007/s00411-024-01084-1
172. Measurements and source apportionment of particle-associated polycyclic aromatic hydrocarbons in ambient air in Riyadh, Saudi Arabia Q. Bian et al. 10.1016/j.atmosenv.2016.04.025
173. Comparative analysis of winter composite-PM2.5 in Central Indo Gangetic Plain cities: Combined organic and inorganic source apportionment and characterization, with a focus on the photochemical age effect on secondary organic aerosol formation A. Lakra et al. 10.1016/j.atmosenv.2024.120827
174. Aerosols in Northern Morocco-2: Chemical Characterization and PMF Source Apportionment of Ambient PM2.5 A. Benchrif et al. 10.3390/atmos13101701
175. Association of abnormal-glucose tolerance during pregnancy with exposure to PM2.5 components and sources D. Mai et al. 10.1016/j.envpol.2021.118468
176. Abundance, solubilities and sources of PM2.5-associated hazardous elements in the megacity of Beijing, China X. Xu et al. 10.1016/j.jhazmat.2025.138547
177. Evaluation of impact of "2+26″ regional strategies on air quality improvement of different functional districts in Beijing based on a long-term field campaign J. Tian et al. 10.1016/j.envres.2022.113452
178. Source apportionment of fine PM by combining high time resolution organic and inorganic chemical composition datasets C. Belis et al. 10.1016/j.aeaoa.2019.100046
179. Identifying and quantifying source contributions of air quality contaminants during unconventional shale gas extraction N. Orak et al. 10.5194/acp-21-4729-2021
180. Contribution of individual sources of volatile organic compounds to their cancer and non-cancer risks in the multi-industrial city of Ulsan, South Korea S. Kim et al. 10.1007/s11869-024-01554-x
181. Sources of wintertime PM2.5 at a major city in an Alpine Valley: The role of atmospheric dispersion and inversion dynamics M. Masiol et al. 10.1016/j.atmosenv.2024.120556
182. The variations in volatile organic compounds based on the policy change for Omicron in the traffic hub of Zhengzhou B. Zhang et al. 10.5194/acp-24-13587-2024
183. Identification of source contributions to fine particulate matter at Indian desert-urban mixed region S. Roy et al. 10.1016/j.atmosenv.2023.120303
184. Recent advances in air pollution mixture resolutions P. Hopke 10.1016/j.microc.2020.105907
185. A long-term source apportionment of PM2.5 in New York State during 2005–2016 S. Squizzato et al. 10.1016/j.atmosenv.2018.08.044
186. PM2.5 source apportionment for the port city of Thessaloniki, Greece D. Saraga et al. 10.1016/j.scitotenv.2018.09.250
187. Mitigating Atmospheric Polycyclic Aromatic Hydrocarbons and Associated Health Benefits Around Bohai Sea, China from 2014 to 2019 W. Ma et al. 10.2139/ssrn.4095853
188. 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. 10.1016/j.atmosenv.2019.117103
189. Characterization, sources and reactivity of volatile organic compounds (VOCs) in Seoul and surrounding regions during KORUS-AQ I. Simpson et al. 10.1525/elementa.434
190. Study of PM2.5 Using PMF Receptor Model and Advancement of Source Apportionment I. Ryoo et al. 10.5572/KOSAE.2022.38.4.493
191. Quantification of primary and secondary organic aerosol sources by combined factor analysis of extractive electrospray ionisation and aerosol mass spectrometer measurements (EESI-TOF and AMS) Y. Tong et al. 10.5194/amt-15-7265-2022
192. Assessing the role of atmospheric dispersion vs. emission strength in the southern Po Valley (Italy) using dispersion-normalised multi-time receptor modelling F. Crova et al. 10.1016/j.atmosenv.2023.120168
193. Spatiotemporal distribution and source apportionment of low molecular weight organic acids in wet precipitation at a coastal city, China W. Du et al. 10.1007/s11356-017-8498-3
194. Combining Positive Matrix Factorization and Radiocarbon Measurements for Source Apportionment of PM2.5 from a National Background Site in North China X. Wang et al. 10.1038/s41598-017-10762-8
195. PM2.5 monitoring during a 10-year period: relation between elemental concentration and meteorological conditions P. Sanguineti et al. 10.1007/s10661-020-08288-0
196. Pollution characteristics and sources of environmentally persistent free radicals and oxidation potential in fine particulate matter related to city lockdown (CLD) in Xi'an, China D. Ainur et al. 10.1016/j.envres.2022.112899
197. Long-term trends and source apportionment of fine particulate matter (PM2.5) and gaseous pollutants in Auckland, New Zealand L. Boamponsem et al. 10.1016/j.atmosenv.2024.120392
198. Effect of adding variables on rotational ambiguity in positive matrix factorization solutions F. Emami & P. Hopke 10.1016/j.chemolab.2017.01.012
199. Chemical compositions and source identification of particulate matter (PM 2.5 and PM 2.5–10 ) from a scrap iron and steel smelting industry along the Ife–Ibadan highway, Nigeria K. Owoade et al. 10.5094/APR.2015.013
200. Seasonal variability of PM2.5 composition and sources in the Klang Valley urban-industrial environment N. Amil et al. 10.5194/acp-16-5357-2016
201. Quantifying ambient concentrations of primary and secondary organic aerosol in central Los Angeles using an integrated approach coupling source apportionment with regression analysis R. Tohidi et al. 10.1016/j.atmosenv.2021.118807
202. Characterisation of atmospheric pollution near an industrial site with a biogas production and combustion plant in southern Italy E. Merico et al. 10.1016/j.scitotenv.2020.137220
203. Brown carbon from biomass burning imposes strong circum-Arctic warming S. Yue et al. 10.1016/j.oneear.2022.02.006
204. High time-resolution source apportionment and health risk assessment for PM2.5-bound elements at an industrial city in northwest China S. Liu et al. 10.1016/j.scitotenv.2023.161907
205. Inter-comparison of source apportionment of PM10 using PMF and CMB in three sites nearby an industrial area in central Italy D. Cesari et al. 10.1016/j.atmosres.2016.08.003
206. Source apportionment and health risk assessment of PM2.5-bound elements on winter pollution days in industrial cities on the northern slope of Tianshan Mountain, China K. Cheng et al. 10.1016/j.apr.2024.102036
207. Source apportionment of airborne nanoparticles in a Middle Eastern city using positive matrix factorization A. Al-Dabbous & P. Kumar 10.1039/C5EM00027K
208. Enrichment of Organic Acids in Fine Particles Over a Megacity in South China X. Fu et al. 10.1029/2022JD037495
209. Evaluation of the 13 May 2018 frontal dust storm in Shiraz: Stable isotopes signature, source apportionment, and concentration of potentially toxic elements M. Nematollahi et al. 10.1016/j.aeolia.2022.100820
210. Source apportionment of wide range particle size spectra and black carbon collected at the airport of Venice (Italy) M. Masiol et al. 10.1016/j.atmosenv.2016.05.018
211. PM2.5 in Cape Town, South Africa: Chemical characterization and source apportionment using dispersion-normalised positive matrix factorization A. Alfeus et al. 10.1016/j.apr.2023.102025
212. Characterization of fresh PM deposits on calcareous stone surfaces: Seasonality, source apportionment and soiling potential M. Ogrizek et al. 10.1016/j.scitotenv.2022.159012
213. Source apportionment of ambient particle number concentrations in central Los Angeles using positive matrix factorization (PMF) M. Sowlat et al. 10.5194/acp-16-4849-2016
214. Characterization and source apportionment of organic aerosol using offline aerosol mass spectrometry K. Daellenbach et al. 10.5194/amt-9-23-2016
215. Chemical Composition and Source Apportionment of PM2.5 in a Border City in Southwest China J. Shi et al. 10.3390/atmos13010007
216. Annual exposure to polycyclic aromatic hydrocarbons in urban environments linked to wintertime wood-burning episodes I. Tsiodra et al. 10.5194/acp-21-17865-2021
217. Evolution of Organic Aerosols in the South Asian Outflow to the Northern Indian Ocean T. Ajith et al. 10.1021/acsearthspacechem.3c00059
218. Time‐Resolved Measurements of PM2.5 Chemical Composition and Brown Carbon Absorption in Nanjing, East China: Diurnal Variations and Organic Tracer‐Based PMF Analysis W. Feng et al. 10.1029/2023JD039092
219. Source apportionment of PM2.5 at multiple Northwest U.S. sites: Assessing regional winter wood smoke impacts from residential wood combustion R. Kotchenruther 10.1016/j.atmosenv.2016.07.048
220. Source apportionment of PM2.5 before and after COVID-19 lockdown in an urban-industrial area of the Lisbon metropolitan area, Portugal C. Gamelas et al. 10.1016/j.uclim.2023.101446
221. Chemical composition and source-apportionment of sub-micron particles during wintertime over Northern India: New insights on influence of fog-processing P. Rajput et al. 10.1016/j.envpol.2017.10.036
222. Source apportionment of NMVOCs in the Kathmandu Valley during the SusKat-ABC international field campaign using positive matrix factorization C. Sarkar et al. 10.5194/acp-17-8129-2017
223. Assessment of the Risk of Non-Cancerous Diseases under the Exposure of Heavy Element in Urban Areas and Troubleshooting Pollutant Sources (The Case of Zanjan) Z. Farahmandkia et al. 10.29252/jhehp.2.3.177
224. Hybrid multiple-site mass closure and source apportionment of PM2.5 and aerosol acidity at major cities in the Po Valley M. Masiol et al. 10.1016/j.scitotenv.2019.135287
225. 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
226. Source apportionment and ecological health risks assessment from major ions, metalloids and trace elements in multi-aquifer groundwater near the Sunan mine area, Eastern China Q. Ju et al. 10.1016/j.scitotenv.2022.160454
227. Heterogeneity in the health effects of PM2.5 sources across the major metropolitan cities, South Korea: Significance of region-specific management S. Kim et al. 10.1016/j.envres.2024.120230
228. Chemical characteristics, sources, and formation mechanisms of PM2.5 before, during, and after the Spring Festival in a plateau city of Southwest China J. Shi et al. 10.1016/j.atmosenv.2024.120788
229. Source apportionment of fine particulate matter in Macao, China with and without organic tracers: A comparative study using positive matrix factorization Q. Wang et al. 10.1016/j.atmosenv.2018.10.057
230. The Red Sea Deep Water is a potent source of atmospheric ethane and propane E. Bourtsoukidis et al. 10.1038/s41467-020-14375-0
231. Source apportionment resolved by time of day for improved deconvolution of primary source contributions to air pollution S. Bhandari et al. 10.5194/amt-15-6051-2022
232. Effects of damming on riverine heavy metals and environmental risks in the world’s largest hydropower engineering, China D. Wang et al. 10.1007/s12665-024-11903-9
233. 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. 10.1016/j.jes.2021.10.005
234. Source apportionment of soil PTE in a northern industrial county using PMF model: Partitioning strategies and uncertainty analysis B. Shi et al. 10.1016/j.envres.2024.118855
235. Investigation of the 2018 Shiraz dust event: Potential sources of metals, rare earth elements, and radionuclides; health assessment S. Abbasi et al. 10.1016/j.chemosphere.2021.130533
236. Characterizing the Changes in the Source Apportionment of Metal in Surface Waters by an Integrated Approach Y. Zhou et al. 10.1021/acsestwater.2c00399
237. Spatial Distribution Characteristics and Source Appointment of Heavy Metals in Soil in the Areas Affected by Non-Ferrous Metal Slag Field in the Dry-Hot Valley L. Jia et al. 10.3390/app12199475
238. Source-dependent absorption Ångström exponent in the Los Angeles Basin: Multi-time resolution factor analyses of ambient PM2.5 and aerosol optical absorption M. Savadkoohi et al. 10.1016/j.scitotenv.2024.178095
239. Source apportionment of PM2.5 at IMPROVE monitoring sites within and outside of marine vessel fuel sulfur emissions control areas R. Kotchenruther 10.1080/10962247.2021.1917463
240. Ecological risk of heavy metals in lake sediments of China: A national-scale integrated analysis D. Li et al. 10.1016/j.jclepro.2021.130206
241. Source Apportionment of PM2.5 and of its Oxidative Potential in an Industrial Suburban Site in South Italy D. Cesari et al. 10.3390/atmos10120758
242. Spatial distribution and source apportionment of DTPA-extractable metals in soils surrounding the largest Serbian steel production plant S. Dragović et al. 10.1016/j.heliyon.2023.e16307
243. Background PM2.5 source apportionment in the remote Northwestern United States O. Hadley 10.1016/j.atmosenv.2017.08.030
244. Variability and sources of NMHCs at a coastal urban location in the Piraeus Port, Greece E. Liakakou et al. 10.1016/j.apr.2022.101386
245. A PM10 chemically characterized nation-wide dataset for Italy. Geographical influence on urban air pollution and source apportionment A. Pietrodangelo et al. 10.1016/j.scitotenv.2023.167891
246. Effect of industrialization on the differences in sources and composition of ambient PM2.5 in two Southern Ontario locations M. Yassine et al. 10.1016/j.envpol.2023.123007
247. Source apportionment and health risk assessment among specific age groups during haze and non-haze episodes in Kuala Lumpur, Malaysia N. Sulong et al. 10.1016/j.scitotenv.2017.05.153
248. Sources and Temporal Variations of Coarse Particulate Matter (PM) in Central Tehran, Iran E. Soleimanian et al. 10.3390/atmos10050291
249. Ambient mercury source identification at a New York State urban site: Rochester, NY H. Zhou et al. 10.1016/j.scitotenv.2018.09.040
250. 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. 10.1016/j.envint.2024.108970
251. Characterization and sources of water-soluble inorganic ions during sulfate-driven and nitrate-driven haze on the largest loess accumulation plateau W. Wang et al. 10.1016/j.chemosphere.2023.140261
252. Quantitative source apportionment of heavy metal(loid)s in the agricultural soils of an industrializing region and associated model uncertainty H. Yuanan et al. 10.1016/j.jhazmat.2020.122244
253. Annual variation of source contributions to PM10 and oxidative potential in a mountainous area with traffic, biomass burning, cement-plant and biogenic influences K. Glojek et al. 10.1016/j.envint.2024.108787
254. Source apportionment of ambient PM10 collected at three sites in an urban-industrial area with multi-time resolution factor analyses D. Mooibroek et al. 10.1016/j.scitotenv.2022.157981
255. Characterizing the anthropogenic-induced trace elements in an urban aquatic environment: A source apportionment and risk assessment with uncertainty consideration Z. Wang et al. 10.1016/j.jenvman.2020.111288
256. High-time-resolution PM2.5 source apportionment based on multi-model with organic tracers in Beijing during haze episodes L. Lv et al. 10.1016/j.scitotenv.2020.144766
257. Receptor model-based source-specific health risks of toxic metal(loid)s in coal basin-induced agricultural soil in northwest Bangladesh M. Habib et al. 10.1007/s10653-023-01740-3
258. Approaches to reducing rotational ambiguity in receptor modeling of ambient particulate matter P. Hopke 10.1016/j.chemolab.2021.104252
259. Chemical characterisation and source apportionment of PM₁ during massive loading at an urban location in Indo-Gangetic Plain: impact of local sources and long-range transport P. Rajput et al. 10.3402/tellusb.v68.30659
260. Online Chemical Characterization and Source Identification of Summer and Winter Aerosols in Măgurele, Romania L. Mărmureanu et al. 10.3390/atmos11040385
261. Regional air quality in Leipzig, Germany: detailed source apportionment of size-resolved aerosol particles and comparison with the year 2000 D. van Pinxteren et al. 10.1039/C5FD00228A
262. Source apportionment of potentially toxic elements in soils using APCS/MLR, PMF and geostatistics in a typical industrial and mining city in Eastern China C. Jianfei et al. 10.1371/journal.pone.0238513
263. Rare earth elements reveal the human health and environmental concerns in the largest tributary of the Mekong river, Northeastern Thailand S. Ma & G. Han 10.1016/j.envres.2024.118968
264. Fossil and non-fossil source contributions to atmospheric carbonaceous aerosols during extreme spring grassland fires in Eastern Europe V. Ulevicius et al. 10.5194/acp-16-5513-2016
265. Source Analysis and Human Health Risk Assessment Based on Entropy Weight Method Modification of PM2.5 Heavy Metal in an Industrial Area in the Northeast of China S. Sun et al. 10.3390/atmos12070852
266. Spatial and temporal distribution, chemical characteristics, and sources of ambient particulate matter in the Beijing-Tianjin-Hebei region H. Xu et al. 10.1016/j.scitotenv.2018.12.164
267. Explore of High Arsenic Levels in Agricultural Soils: Observations from Hashtroud County, Northwest of Iran S. Nemati-Mansour et al. 10.1080/15320383.2024.2400124
268. 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. 10.1016/j.scitotenv.2016.06.215
269. Advancing Source Apportionment of Atmospheric Particles: Integrating Morphology, Size, and Chemistry Using Electron Microscopy Technology and Machine Learning P. Zhao et al. 10.1021/acs.est.4c10964
270. Simultaneous comparison of the chemical composition and attributable source of PM2.5 during 2014–2018 in major metropolitan cities in South Korea: impacts of policy interventions S. Kim et al. 10.1088/1748-9326/ad7945
271. Investigation of the relative fine and coarse mode aerosol loadings and properties in the Southern Arabian Gulf region K. Kaku et al. 10.1016/j.atmosres.2015.09.029
272. Chemical characteristics and sources of PM2.5 in Hohhot, a semi-arid city in northern China: insight from the COVID-19 lockdown H. Zhou et al. 10.5194/acp-22-12153-2022
273. An intensive monitoring campaign of PAHs for assessing the impact of a steel plant A. Di Gilio et al. 10.1016/j.chemosphere.2016.10.019
274. Source apportionment of PM2.5 in Seoul, South Korea and Beijing, China using dispersion normalized PMF J. Park et al. 10.1016/j.scitotenv.2022.155056
275. Contribution of point and small-scaled sources to the PM10 emission using positive matrix factorization model Z. Farahmandkia et al. 10.1186/s40201-016-0265-8
276. Long-Term Air Quality Study in Fairbanks, Alaska: Air Pollutant Temporal Variations, Correlations, and PM2.5 Source Apportionment L. Ye & Y. Wang 10.3390/atmos11111203
277. Source Apportionment of PM 2.5 and PM 2.5 -Bound Trace Elements in Pretoria, South Africa C. Howlett-Downing et al. 10.1080/15275922.2023.2297423
278. Causes of the unremitting high ambient levels of PM10 in a suburban background site in NE Spain A. Canals-Angerri et al. 10.1016/j.envpol.2024.125113
279. Spatial and seasonal variability of the contribution of sources to PM2.5, PM10 and their oxidative potential in different sites in a central Mediterranean area S. Potì et al. 10.1016/j.scitotenv.2025.179283
280. Atmospheric Aerosol Chemistry: Spectroscopic and Microscopic Advances A. Ault & J. Axson 10.1021/acs.analchem.6b04670
281. Elucidating sources of VOCs in the Capital Region of New York State: Implications to secondary transformation and public health exposure S. Paul & M. Bari 10.1016/j.chemosphere.2022.134407
282. Source apportionment of ambient PM2.5 in two locations in central Tehran using the Positive Matrix Factorization (PMF) model S. Taghvaee et al. 10.1016/j.scitotenv.2018.02.096
283. Source apportionment of environmentally persistent free radicals (EPFRs) in PM2.5 over Xi'an, China Y. Wang et al. 10.1016/j.scitotenv.2019.06.424
284. Source apportionment of PM2.5 chemically speciated mass and particle number concentrations in New York City M. Masiol et al. 10.1016/j.atmosenv.2016.10.044
285. Ambient particulate matter source apportionment using receptor modelling in European and Central Asia urban areas S. Almeida et al. 10.1016/j.envpol.2020.115199
286. Global review of recent source apportionments for airborne particulate matter P. Hopke et al. 10.1016/j.scitotenv.2020.140091
287. Source apportionment and risk assessment of heavy metals in urban soils from a central China city by using positive matrix factorization model coupled with Monte Carlo simulation L. Shen et al. 10.1007/s00477-022-02297-w
288. PM2.5 source apportionment during severe haze episodes in a Chinese megacity based on a 5-month period by using hourly species measurements: Explore how to better conduct PMF during haze episodes Y. Tian et al. 10.1016/j.atmosenv.2020.117364
289. Temporal responses of PM2.5-bound trace elements and health risks to air control policy in a typical northern city in China during 2016–2020 Y. Shen et al. 10.1016/j.jclepro.2023.137165
290. Comprehensive assessment of PM2.5 physicochemical properties during the Southeast Asia dry season (southwest monsoon) M. Khan et al. 10.1002/2016JD025894
291. Response of formaldehyde to meteorology in Beijing: Primary or secondary contributions Y. Kang et al. 10.1016/j.jes.2024.09.016
292. On the use of reference mass spectra for reducing uncertainty in source apportionment of solid-fuel burning in ambient organic aerosol C. Lin et al. 10.5194/amt-14-6905-2021
293. Improving Source Apportionment of Urban Aerosol Using Multi-Isotopic Fingerprints (MIF) and Positive Matrix Factorization (PMF): Cross-Validation and New Insights C. Souto-Oliveira et al. 10.3389/fenvs.2021.623915
294. Quantification of solid fuel combustion and aqueous chemistry contributions to secondary organic aerosol during wintertime haze events in Beijing Y. Tong et al. 10.5194/acp-21-9859-2021
295. Source Apportionment of Particulate Matter in Urban Snowpack Using End-Member Mixing Analysis and Positive Matrix Factorization Model M. Semenov et al. 10.3390/su132413584
296. Metal and metalloid sources apportionment in soil of two major agroecosystems of southern China W. Mtemi et al. 10.1007/s10661-023-10938-y
297. Atmospheric VOC measurements at a High Arctic site: characteristics and source apportionment J. Pernov et al. 10.5194/acp-21-2895-2021
298. The effects of marine vessel fuel sulfur regulations on ambient PM2.5 at coastal and near coastal monitoring sites in the U.S. R. Kotchenruther 10.1016/j.atmosenv.2016.12.012
299. Chemical characteristics and sources apportionment of volatile organic compounds in the primary urban area of Shijiazhuang, North China Plain X. Zhang et al. 10.1016/j.jes.2024.01.009
300. A twin site study of size-resolved composition, source apportionment and health impacts of aerosol particles in Morocco N. Deabji et al. 10.1016/j.atmosenv.2025.121273
301. Estimation of the contributions of the sources driving PM2.5 levels in a Central Mediterranean coastal town M. Scerri et al. 10.1016/j.chemosphere.2018.07.104
302. Prevalence and physicochemical characteristics of microplastics in the sediment and water of Hashilan Wetland, a national heritage in NW Iran S. Abbasi 10.1016/j.eti.2021.101782
303. Long term trends in source apportioned particle number concentrations in Rochester NY P. Hopke et al. 10.1016/j.envpol.2024.123708
304. Assessing volatile organic compound sources in a boreal forest using positive matrix factorization (PMF) M. Vestenius et al. 10.1016/j.atmosenv.2021.118503
305. Quantifying the Health Risks of PM2.5-Bound Heavy Metals for Rural Populations with Different Energy Use Types During the Heating Season W. Wang et al. 10.1007/s12403-023-00590-9
306. Mixed response of trace element concentrations in fluvial sediments to a flash flood in a former mining area A. Weber & F. Lehmkuhl 10.1186/s12302-024-00926-5
307. Source identification of heavy metals and metalloids in soil using open-source Tellus database and their impact on ecology and human health R. Uddin et al. 10.1016/j.scitotenv.2024.175987
308. On the source contribution to Beijing PM2.5 concentrations N. Zíková et al. 10.1016/j.atmosenv.2016.03.047
309. Development and assessment of a receptor source apportionment model based on four nonnegative matrix factorization algorithms H. Liu et al. 10.1016/j.atmosenv.2018.10.037
310. Estimating uncertainties of source contributions to PM2.5 using moving window evolving dispersion normalized PMF L. Song et al. 10.1016/j.envpol.2021.117576
311. Real-time quantification and source apportionment of fine particulate matter including organics and elements in Delhi during summertime A. Shukla et al. 10.1016/j.atmosenv.2021.118598
312. Resolving anthropogenic aerosol pollution types – deconvolution and exploratory classification of pollution events M. Äijälä et al. 10.5194/acp-17-3165-2017
313. Impact of Secondary Organic Aerosol Tracers on Tracer-Based Source Apportionment of Organic Carbon and PM2.5: A Case Study in the Pearl River Delta, China Q. Wang et al. 10.1021/acsearthspacechem.7b00088
314. Influence of dust and sea-salt sandwich effect on precipitation chemistry over the Western Ghats during summer monsoon L. Yang et al. 10.1038/s41598-019-55245-0
315. Characteristics and potential exposure risks of environmentally persistent free radicals in PM2.5 in the three gorges reservoir area, Southwestern China R. Qian et al. 10.1016/j.chemosphere.2020.126425
316. Spatiotemporal variability and sources of aerosol water-soluble organic nitrogen (WSON), in the Eastern Mediterranean M. Tsagkaraki et al. 10.1016/j.atmosenv.2020.118144
317. Inter-annual variability of source contributions to PM10, PM2.5, and oxidative potential in an urban background site in the central mediterranean L. Giannossa et al. 10.1016/j.jenvman.2022.115752
318. Source apportionment of organic gaseous and particulate compounds using a combined positive matrix factorization approach in summer (2020) in the Paris region (France) L. Simon et al. 10.1016/j.atmosenv.2025.121269
319. Source Apportionment of PM2.5 Using Hourly Measurements of Elemental Tracers and Major Constituents in an Urban Environment: Investigation of Time‐Resolution Influence Q. Wang et al. 10.1029/2017JD027877
320. Vehicular pollution as the primary source of oxidative potential of PM2.5 in Bhubaneswar, a non-attainment city in eastern India S. Panda et al. 10.1039/D4EM00150H
321. Sources of sub-micrometre particles near a major international airport M. Masiol et al. 10.5194/acp-17-12379-2017
322. Characteristics, primary sources and secondary formation of water-soluble organic aerosols in downtown Beijing Q. Yu et al. 10.5194/acp-21-1775-2021
323. Influences of inorganic and polycyclic aromatic hydrocarbons on the sources of PM2.5 in the Southeast Asian urban sites M. Khan et al. 10.1007/s11869-017-0489-5
324. Association of systemic inflammation and coagulation biomarkers with source-specific PM2.5 mass concentrations among young and elderly subjects in central Tehran A. Altuwayjiri et al. 10.1080/10962247.2020.1806140
325. Multi-time and multi-size resolution receptor modeling to exploit jointly atmospheric aerosol data measured at different time resolutions and in multiple size classes F. Crova et al. 10.1016/j.atmosenv.2024.120672
326. From input to transformation: Investigating the dynamic evolution of volatile organic compounds and driving mechanisms during sandstorms L. Wang et al. 10.1016/j.envpol.2025.126192
327. Evaluation of air quality changes in a Chinese megacity over a 15-year period (2006–2021) using PM2.5 receptor modelling A. Canals-Angerri et al. 10.1016/j.envpol.2023.122803
328. Identifying and quantifying PM2.5 pollution episodes with a fusion method of moving window technique and constrained Positive Matrix Factorization C. Huang et al. 10.1016/j.envpol.2022.120382
329. Associations between Source-Specific Particulate Matter and Respiratory Infections in New York State Adults D. Croft et al. 10.1021/acs.est.9b04295
330. Characteristics and Sources of Hourly Trace Elements in Airborne Fine Particles in Urban Beijing, China Y. Cui et al. 10.1029/2019JD030881
331. Developing an integrated framework for source apportionment and source-specific health risk assessment of PAHs in soils: Application to a typical cold region in China Y. Zhang et al. 10.1016/j.jhazmat.2021.125730
332. Characterisation of the correlations between oxidative potential and in vitro biological effects of PM10 at three sites in the central Mediterranean M. Guascito et al. 10.1016/j.jhazmat.2023.130872
333. Assessment of discrepancies in PM2.5 modeling and heavy metal associated health implications in Tier 2 and 3 non-attainment cities: EDGAR-driven WRF-Chem vs. field data in Alwar and Amritsar Y. Jain et al. 10.1016/j.envpol.2025.126223
334. Characterization of PM2.5 and its oxidative potential in three areas of Southern Italy D. Cesari et al. 10.1016/j.atmosenv.2025.121146
335. Time-dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling positive matrix factorisation (PMF) window G. Chen et al. 10.5194/acp-21-15081-2021
336. Source apportionment of volatile organic compounds in the northwest Indo-Gangetic Plain using a positive matrix factorization model B. Sinha & V. Sinha 10.5194/acp-19-15467-2019
337. Common and distinct pollution sources identified from ambient PM2.5 concentrations in two sites of Los Angeles Basin from 2005 to 2019 I. Stanimirova et al. 10.1016/j.envpol.2023.122817
338. Sources of organic gases and aerosol particles and their roles in nighttime particle growth at a rural forested site in southwest Germany J. Song et al. 10.5194/acp-24-6699-2024
339. Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF results S. Brown et al. 10.1016/j.scitotenv.2015.01.022
340. Combined-phase source apportionment of ambient PM2.5, PAHs and VOCs from an industrialized environment: Consequences of photochemical initial concentrations U. Sofowote et al. 10.1016/j.atmosenv.2024.120894
341. Effect of traffic volumes on polycyclic aromatic hydrocarbons of particulate matter: A comparative study from urban and rural areas in Malaysia S. Al-Battawi et al. 10.1371/journal.pone.0315439
342. 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
343. Associations between Fine Particulate Matter Components, Their Sources, and Cognitive Outcomes in Children Ages 9–10 Years Old from the United States K. Sukumaran et al. 10.1289/EHP14418
344. The Effect of a Receding Saline Lake (The Salton Sea) on Airborne Particulate Matter Composition A. Frie et al. 10.1021/acs.est.7b01773
345. Size distribution, meteorological influence and uncertainty for source-specific risks: PM2.5 and PM10-bound PAHs and heavy metals in a Chinese megacity during 2011–2021 Y. Tian et al. 10.1016/j.envpol.2022.120004
346. Long-term trend in surface ozone in Houston-Galveston-Brazoria: Sectoral contributions based on changes in volatile organic compounds E. Soleimanian et al. 10.1016/j.envpol.2022.119647
347. Chemical composition and source apportionment of size fractionated particulate matter in Cleveland, Ohio, USA Y. Kim et al. 10.1016/j.envpol.2016.08.073
348. Organic aerosol source apportionment in Zurich using an extractive electrospray ionization time-of-flight mass spectrometer (EESI-TOF-MS) – Part 1: Biogenic influences and day–night chemistry in summer G. Stefenelli et al. 10.5194/acp-19-14825-2019
349. Size-segregated atmospheric polycyclic aromatic hydrocarbons down to PM0.1 in urban tropical environment: Temporal distribution, potential sources and human health risk A. Jamhari et al. 10.1016/j.uclim.2021.100996
350. Long-term trends (2005–2016) of source apportioned PM2.5 across New York State M. Masiol et al. 10.1016/j.atmosenv.2018.12.038
351. Source apportionment with uncertainty estimates of fine particulate matter in Ostrava, Czech Republic using Positive Matrix Factorization T. Vossler et al. 10.1016/j.apr.2015.12.004
352. A multi-year source apportionment of PM2.5 at multiple sites in the southern Po Valley (Italy) F. Scotto et al. 10.1016/j.apr.2021.101192
353. European aerosol phenomenology − 8: Harmonised source apportionment of organic aerosol using 22 Year-long ACSM/AMS datasets G. Chen et al. 10.1016/j.envint.2022.107325
354. Increases in PM2.5 levels in Houston are associated with a highly recirculating sea breeze C. Chao et al. 10.1016/j.envpol.2024.125381
355. An unexpected increase in PM2.5 levels in Xi'an during the COVID-19 pandemic restrictions: The interplay of anthropogenic and natural factors S. Yang et al. 10.1016/j.jes.2024.07.016
356. Sources of humic-like substances (HULIS) in PM2.5 in Beijing: Receptor modeling approach X. Li et al. 10.1016/j.scitotenv.2019.03.333
357. Influence of seasonal variability on source characteristics of VOCs at Houston industrial area B. Sadeghi et al. 10.1016/j.atmosenv.2022.119077
358. Chemical composition of rainwater in the Sinos River Basin, Southern Brazil: a source apportionment study D. Alves et al. 10.1007/s11356-018-2505-1
359. Spatial variability of fine and coarse particle composition and sources in Cyprus S. Achilleos et al. 10.1016/j.atmosres.2015.10.005
360. Long-term chemical analysis and organic aerosol source apportionment at nine sites in central Europe: source identification and uncertainty assessment K. Daellenbach et al. 10.5194/acp-17-13265-2017
361. Composition analysis of PM2.5 at multiple sites in Zhengzhou, China: implications for characterization and source apportionment at different pollution levels X. Liu et al. 10.1007/s11356-020-10943-5
362. Apportioning PM1 in a contrasting receptor site in the Mediterranean region: Aerosol sources with an updated sulfur speciation L. Tositti et al. 10.1016/j.scitotenv.2022.158127
363. Characterization of PM10 sources in the central Mediterranean G. Calzolai et al. 10.5194/acp-15-13939-2015
364. Characteristics and source identification of fine particles in the Nanchang subway, China S. Huang et al. 10.1016/j.buildenv.2021.107925
365. Identifying the natural and agricultural impacts on the glaciochemistry of the Aru ice core on the northwestern Tibetan Plateau D. Yang et al. 10.1016/j.scitotenv.2023.167501
366. Chemical characteristics of size-resolved fog water at an urban site in Nanjing and the summit of Mt. Lu, East China S. Zhang et al. 10.1016/j.atmosenv.2021.118667
367. Pollution Assessment and Source Apportionment of Soil Heavy Metals in a Coastal Industrial City, Zhejiang, Southeastern China S. Wang et al. 10.3390/ijerph19063335
368. Temporal dynamics and source characteristics of fine particulate matter using Positive Matrix Factorization (PMF) V. Kumar et al. 10.1016/j.apr.2025.102539
369. Recent changes in winter PM2.5 contributions from wood smoke, motor vehicles, and other sources in the Northwest U.S. R. Kotchenruther 10.1016/j.atmosenv.2020.117724
370. Evidence of a reduction in cloud condensation nuclei activity of water-soluble aerosols caused by biogenic emissions in a cool-temperate forest A. Müller et al. 10.1038/s41598-017-08112-9
371. Estimation of the Source Contributions for Carbonaceous Aerosols at a Background Site in Korea S. Han et al. 10.5572/ajae.2018.12.4.311
372. Relative contributions of a major international airport activities and other urban sources to the particle number concentrations (PNCs) at a nearby monitoring site M. Pirhadi et al. 10.1016/j.envpol.2020.114027
373. Spatial-seasonal variations and source identification of volatile organic compounds using passive air samplers in the metropolitan city of Seoul, South Korea S. Kim et al. 10.1016/j.atmosenv.2020.118136
374. Inorganic Ionic Composition of Rainwater at a High Altitude Station over the Western Ghats in Peninsular India V. Waghmare et al. 10.1007/s10874-021-09416-x
375. Quantification of long-term primary and secondary source contributions to carbonaceous aerosols G. Shi et al. 10.1016/j.envpol.2016.09.009
376. Variations of the atmospheric polycyclic aromatic hydrocarbon concentrations, sources, and health risk and the direct medical costs of lung cancer around the Bohai Sea against a background of pollution prevention and control in China W. Ma et al. 10.5194/acp-24-1509-2024
377. A fingerprint of source-specific health risk of PM2.5-bound components over a coastal industrial city J. dos Santos Silva et al. 10.1016/j.jhazmat.2024.136369
378. Characterizing and predicting the impact of vehicular emissions on the transport and fate of polycyclic aromatic hydrocarbons in environmental multimedia R. Li et al. 10.1016/j.jclepro.2020.122591
379. Oxidative potential and source apportionment of size-resolved particles from indoor environments: Dithiothreitol (DTT) consumption and ROS production K. Yao et al. 10.1016/j.atmosenv.2023.120060
380. Composition and variability of gaseous organic pollution in the port megacity of Istanbul: source attribution, emission ratios, and inventory evaluation B. Thera et al. 10.5194/acp-19-15131-2019
381. Source apportionment of PM2.5 at a regional background site in North China using PMF linked with radiocarbon analysis: insight into the contribution of biomass burning Z. Zong et al. 10.5194/acp-16-11249-2016
382. Identifying heavy metal sources and health risks in soil-vegetable systems of fragmented vegetable fields based on machine learning, positive matrix factorization model and Monte Carlo simulation J. Shi et al. 10.1016/j.jhazmat.2024.135481
383. Source apportionment using receptor model based on aerosol mass spectra and 1 h resolution chemical dataset in Tianjin, China X. Peng et al. 10.1016/j.atmosenv.2018.11.018
384. Exploring the cause of PM2.5 pollution episodes in a cold metropolis in China X. Sun et al. 10.1016/j.jclepro.2020.120275
385. Source apportionment of PM 2.5 at the Lin'an regional background site in China with three receptor models J. Deng et al. 10.1016/j.atmosres.2017.11.017
386. A new methodology to assess the performance and uncertainty of source apportionment models in intercomparison exercises C. Belis et al. 10.1016/j.atmosenv.2015.08.002
387. Uncertainty analysis in source apportionment of heavy metals in road dust based on positive matrix factorization model and geographic information system C. Men et al. 10.1016/j.scitotenv.2018.10.212
388. A new methodology to assess the performance and uncertainty of source apportionment models II: The results of two European intercomparison exercises C. Belis et al. 10.1016/j.atmosenv.2015.10.068
389. Spatial and temporal distribution, chemical characteristics, and sources of ambient particulate matter in the Beijing-Tianjin-Hebei region H. Xu et al. 10.1016/j.scitotenv.2018.12.164