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24. Exploring sources and health risks of metals in Beijing PM2.5: Insights from long-term online measurements X. Yang et al. 10.1016/j.scitotenv.2021.151954
25. Comparative source apportionment of PM10 in Switzerland for 2008/2009 and 1998/1999 by Positive Matrix Factorisation M. Gianini et al. 10.1016/j.atmosenv.2012.02.036
26. Spatial and temporal variability of sources of ambient fine particulate matter (PM<sub>2.5</sub>) in California S. Hasheminassab et al. 10.5194/acp-14-12085-2014
27. Exploration and Application of Regulatory PM₁₀ Measurement Data for Developing Long-term Prediction Models in South Korea S. Yi et al. 10.5572/KOSAE.2016.32.1.114
28. Assignment of PM2.5 sources in western Japan by non-negative matrix factorization of concentration-weighted trajectories of GED-ICP-MS/MS element concentrations Y. Suzuki et al. 10.1016/j.envpol.2020.116054
29. Elevated production of NH 4 NO 3 from the photochemical processing of vehicle exhaust: Implications for air quality in the Seoul Metropolitan Region M. Link et al. 10.1016/j.atmosenv.2017.02.031
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32. Air Quality Impacts of Shale Gas Development in Pennsylvania R. Zhang et al. 10.1086/721430
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35. Sources of ultrafine particles in the Eastern United States L. Posner & S. Pandis 10.1016/j.atmosenv.2015.03.033
36. Analysis of PM2.5 inorganic and organic constituents to resolve contributing sources in Seoul, South Korea and Beijing, China and their possible associations with cytokine IL-8 J. Park et al. 10.1016/j.envres.2023.117860
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41. Chemical Characterization and Source Apportionment of PM10 Using Receptor Models over the Himalayan Region of India N. Choudhary et al. 10.3390/atmos14050880
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46. 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
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50. 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
51. Estimating the Contribution of Local Primary Emissions to Particulate Pollution Using High‐Density Station Observations C. Zhao et al. 10.1029/2018JD028888
52. Municipality-Level Source Apportionment of PM2.5 Concentrations based on the CAPSS 2016: (VI) Chungcheongbuk-do K. Son et al. 10.5572/KOSAE.2021.37.3.429
53. Characteristics of submicron aerosol number size distribution and new particle formation events measured in Seoul, Korea, during 2004–2012 M. Park et al. 10.1007/s13143-014-0055-0
54. Influence of intense secondary aerosol formation and long-range transport on aerosol chemistry and properties in the Seoul Metropolitan Area during spring time: results from KORUS-AQ H. Kim et al. 10.5194/acp-18-7149-2018
55. 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
56. Sulfur isotope-based source apportionment and control mechanisms of PM2.5 sulfate in Seoul, South Korea during winter and early spring (2017–2020) G. Lee et al. 10.1016/j.scitotenv.2023.167112
57. Source apportionment of PM2.5 measured in South Texas near U.S.A. – Mexico border S. Karnae & K. John 10.1016/j.apr.2019.06.007
58. Enhancement of PM2.5 source appointment in a large industrial city of Korea by applying the elemental carbon tracer method for positive matrix factorization (PMF) model Y. Han et al. 10.1016/j.apr.2023.101910
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146. Source apportionment of the oxidative potential of fine ambient particulate matter (PM2.5) in Athens, Greece S. Taghvaee et al. 10.1016/j.scitotenv.2018.11.016
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