Spatiotemporal distribution and source analysis of PM 2.5 and its chemical components in national industrial complexes of Korea: a case study of Ansan and Siheung.

Autor: Park SY; Department of Chemical and Environmental Engineering, Seokyeong University, Seoul, 02713, Republic of Korea., Jang H; Department of Chemical and Environmental Engineering, Seokyeong University, Seoul, 02713, Republic of Korea., Kwon J; Department of Public Health, California State University, Fresno, CA, 93740, USA., Cho YS; Department of Chemical and Environmental Engineering, Seokyeong University, Seoul, 02713, Republic of Korea., Lee JI; Department of Chemical and Environmental Engineering, Seokyeong University, Seoul, 02713, Republic of Korea., Lee CM; Department of Chemical and Environmental Engineering, Seokyeong University, Seoul, 02713, Republic of Korea. cheolmin@skuniv.ac.kr.
Jazyk: angličtina
Zdroj: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Dec; Vol. 31 (57), pp. 65406-65426. Date of Electronic Publication: 2024 Nov 24.
DOI: 10.1007/s11356-024-35537-3
Abstrakt: This study investigated the sources and distribution characteristics of PM 2.5 and its chemical components (ions, carbons, elements) at five locations within the Banwal and Sihwa National Industrial Complexes in Ansan and Siheung. These large-scale industrial clusters, comprising 7642 businesses across sectors such as petrochemicals, steel, machinery, and electronics, operate throughout the year. From 2020 to 2023, the average PM 2.5 concentration in the study area was 28.66 ± 16.72 μg/m 3 , with notable seasonal differences observed across the five measurement points. Ionic components were the primary contributors to PM 2.5 , while carbon and trace element concentrations fluctuated with the seasons. The coefficient of divergence (COD) analysis indicated that emission source differences between sites were insignificant, with COD values consistently below the threshold of 0.3. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) identified secondary aerosols and vehicle emissions as the main sources of PM 2.5 , alongside additional contributions from Asian dust, industrial emissions, road dust, coal combustion, metal processing, biomass burning, and soil dust. These results highlight the need for systematic and economical air pollution control strategies in complex industrial areas, using COD to identify source differences and quantify contributions at different sites.
Competing Interests: Declarations. Ethical approval: Not applicable. Consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
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