376 citations as recorded by crossref.

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3. 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
4. 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
5. 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
6. 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
7. 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
8. 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
9. Source Apportionment of Brown Carbon Absorption by Coupling Ultraviolet–Visible Spectroscopy with Aerosol Mass Spectrometry V. Moschos et al. 10.1021/acs.estlett.8b00118
10. 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
11. 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
12. Effect of adding variables on rotational ambiguity in positive matrix factorization solutions F. Emami & P. Hopke 10.1016/j.chemolab.2017.01.012
13. 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
14. 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
15. 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
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18. 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
19. 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
20. 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
21. 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
22. 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
23. 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
24. 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
25. 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
26. Characterization of aerosol sources in León (Spain) using Positive Matrix Factorization and weather types F. Oduber et al. 10.1016/j.scitotenv.2020.142045
27. 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
28. 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
29. Brown carbon from biomass burning imposes strong circum-Arctic warming S. Yue et al. 10.1016/j.oneear.2022.02.006
30. 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
31. 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
32. 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
33. 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
34. Source apportionment of airborne nanoparticles in a Middle Eastern city using positive matrix factorization A. Al-Dabbous & P. Kumar 10.1039/C5EM00027K
35. 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
36. Enrichment of Organic Acids in Fine Particles Over a Megacity in South China X. Fu et al. 10.1029/2022JD037495
37. 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
38. Characterization and Source Analysis of Pollution Caused by Atmospheric Volatile Organic Compounds in the Spring, Kunming, China S. Xie et al. 10.3390/atmos14121767
39. Assessment of fine and sub-micrometer aerosols at an urban environment of Argentina M. Achad et al. 10.1016/j.atmosenv.2014.05.001
40. 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
41. 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
42. 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
43. 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
44. 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
45. 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
46. 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
47. 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
48. Characterization and source apportionment of organic aerosol using offline aerosol mass spectrometry K. Daellenbach et al. 10.5194/amt-9-23-2016
49. 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
50. Chemical Composition and Source Apportionment of PM2.5 in a Border City in Southwest China J. Shi et al. 10.3390/atmos13010007
51. Climatology of aerosol properties at an atmospheric monitoring site on the northern California coast E. Boedicker et al. 10.5194/acp-23-9525-2023
52. 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
53. 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
54. 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
55. 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
56. 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
57. Evolution of Organic Aerosols in the South Asian Outflow to the Northern Indian Ocean T. Ajith et al. 10.1021/acsearthspacechem.3c00059
58. 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
59. 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
60. 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
61. 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
62. 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
63. 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
64. 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
65. 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
66. 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
67. 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
68. 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
69. 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
70. 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
71. 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
72. 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
73. 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
74. 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
75. 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
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77. The Red Sea Deep Water is a potent source of atmospheric ethane and propane E. Bourtsoukidis et al. 10.1038/s41467-020-14375-0
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80. 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
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