Spatiotemporal distribution characterization and source estimation of PM2.5 components in the Ulsan Industrial Complex

IF 1.8 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
Young-hyun Kim, Shin-young Park, Hyeok Jang, Cheol-Min Lee
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Abstract

Ulsan City, South Korea, hosts various industries, including metal processing, petrochemicals, machinery, and electronics. The complex interplay of industrial activities, traffic emissions, and marine influences contributes to the formation of fine particulate matter (PM2.5). This study investigated the chemical composition and sources of PM2.5 in Ulsan using samples collected periodically from five air monitoring stations between August 2020 and December 2023. The highest PM2.5 concentrations were observed in areas with dense industrial facilities, such as the Onsan National and Mipo General Industrial Complexes. These areas were characterized by large-scale industrial operations, including metal processing facilities and petrochemical plants, which were identified as major pollution sources. Coefficient of divergence (COD) analysis revealed minimal differences in pollution sources between the monitoring sites, suggesting that the primary emission sources were relatively uniform across the study area. Furthermore, principal component analysis (PCA) identified various contributors, including metal processing and smelting industries, soil dust, and sea salt particles. Elements such as Fe and Mn were strongly associated with metal processing and machining activities, whereas V and Ni, which originated from petrochemical processes, were indicators of petroleum combustion. PM2.5 exhibited seasonal variations, with higher levels in winter due to increased heating emissions and in spring due to dust storms. The primary sources of pollution included vehicle exhaust, metal processing and smelting, and sea salt particles, with a more pronounced distribution in regions of intense industrial activity. This study provides essential information on PM2.5 sources and emissions within Ulsan’s industrial complexes, serving as a foundational resource for air quality management and policy development in the city.

Graphical Abstract

蔚山工业园区PM2.5成分时空分布特征及来源估算
韩国蔚山市拥有金属加工、石化、机械、电子等多种产业。工业活动、交通排放和海洋影响的复杂相互作用有助于细颗粒物(PM2.5)的形成。本研究利用2020年8月至2023年12月期间从5个空气监测站定期收集的样本,调查了蔚山PM2.5的化学成分和来源。PM2.5浓度最高的地区是工业设施密集的地方,如翁山国立工业园区和美浦综合工业园区。这些地区的特点是大规模的工业活动,包括金属加工设施和石油化工厂,这些都被确定为主要污染源。发散系数(COD)分析显示,各监测点之间的污染源差异极小,表明主要排放源在研究区域内相对统一。此外,主成分分析(PCA)确定了各种因素,包括金属加工和冶炼工业,土壤粉尘和海盐颗粒。铁和锰等元素与金属加工活动密切相关,而源自石化过程的V和Ni则是石油燃烧的指标。PM2.5表现出季节性变化,冬季由于供暖排放增加而水平较高,春季由于沙尘暴而水平较高。主要污染源包括汽车尾气、金属加工和冶炼、海盐颗粒,在工业活动密集的地区分布更为明显。该研究为蔚山工业园区内的PM2.5来源和排放提供了必要的信息,为蔚山的空气质量管理和政策制定提供了基础资源。图形抽象
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来源期刊
Asian Journal of Atmospheric Environment
Asian Journal of Atmospheric Environment METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
2.80
自引率
6.70%
发文量
22
审稿时长
21 weeks
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