2018
DOI: 10.5572/kosae.2018.34.6.849
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Source Apportionment of PM10 at Pyeongtaek Area Using Positive Matrix Factorization (PMF) Model

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Cited by 10 publications
(1 citation statement)
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“…Nevertheless, it is essential to identify major pollution sources and assess their contributions with an acceptance model to effectively predict and manage PM 2.5 concentrations, given that the chemical composition and physicochemical properties of PM 2.5 vary according to its spatiotemporal characteristics [ 6 ]. However, in the Republic of Korea, research is mainly limited to large areas such as Seoul and Jeju Island, and the majority of observational studies have focused on specific events [ 7 ].…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, it is essential to identify major pollution sources and assess their contributions with an acceptance model to effectively predict and manage PM 2.5 concentrations, given that the chemical composition and physicochemical properties of PM 2.5 vary according to its spatiotemporal characteristics [ 6 ]. However, in the Republic of Korea, research is mainly limited to large areas such as Seoul and Jeju Island, and the majority of observational studies have focused on specific events [ 7 ].…”
Section: Introductionmentioning
confidence: 99%