Identification of source areas of polycyclic aromatic hydrocarbons in Ulsan, South Korea, using hybrid receptor models and the conditional bivariate probability function

Autor:	Tuyet Nam Thi Nguyen, Quang Tran Vuong, Sang-Jin Lee, Hang Xiao, Sung-Deuk Choi
Rok vydání:	2022
Předmět:	Air Pollutants China Volatile Organic Compounds Republic of Korea Public Health Environmental and Occupational Health Environmental Chemistry Particulate Matter Seasons General Medicine Polycyclic Aromatic Hydrocarbons Management Monitoring Policy and Law Environmental Monitoring Probability
Zdroj:	Environmental Science: Processes & Impacts. 24:140-151
ISSN:	2050-7895 2050-7887
DOI:	10.1039/d1em00320h
Popis:	This study identifies the emission source areas for the atmospheric polycyclic aromatic hydrocarbons (PAHs) detected in Ulsan, South Korea. To achieve this, in addition to a conditional bivariate probability function (CBPF), two hybrid receptor models - the three-dimensional potential source contribution function (3D-PSCF) model and the 3D concentration weighted function (3D-CWT) model - were used, both of which adopt trajectory segments within the mixing layer. Notably, the fraction-weighted trajectory (FWT), a combination of PAH gas/particle partitioning with a hybrid receptor model, was introduced for the first time in this study to support the identification of emission source areas using other approaches (
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e148410cbbd09529e70df39b0a0873b2 https://doi.org/10.1039/d1em00320h Zobrazit plný text záznamu