{"title":"Observation-based investigation reveals major sources of heavy metals associated with fine particulate matter (PM2.5) in an East Asian urban area","authors":"Shane S.-E. Sun, Yi-Tang Huang, Mei-June Chen, Xuan-Ru Huang, Shu-Hui Huang, Wen-Yu Liao, Charles C.-K. Chou","doi":"10.1016/j.aeaoa.2025.100342","DOIUrl":null,"url":null,"abstract":"<div><div>Exposure to elevated levels of fine particulate matter (PM<sub>2.5</sub>) has been a major public health concern for decades. However, the specific sources of air toxics associated with PM<sub>2.5</sub> remain unclear. In this study, we investigate PM<sub>2.5</sub> pollution in Taichung, Taiwan—a representative East Asian metropolitan area— during March and November of 2021–2023 using an advanced two-stage positive matrix factorization (PMFxPMF) approach. This method enables detailed source apportionment of both bulk PM<sub>2.5</sub> and PM<sub>2.5</sub>-bound heavy metals. Our analysis reveals that, during the East Asian winter monsoon seasons, regional transboundary pollution contributed 38 % to the PM<sub>2.5</sub> load, while local sources—such as carbonaceous aerosols, industrial processes, ammonium nitrate/chloride, and transformed sea spray—contributed between 9 % and 20 %. Furthermore, the formation of nitrate was the primary driver of air quality deterioration. Heavy metals constituted 1.2 %–1.5 % of PM<sub>2.5</sub> mass (0.24–0.32 μg m<sup>−3</sup>). By incorporating heavy metal fingerprints from two major local sources—coal-fired power plants and steel sintering facilities—as constraints in our PMF analysis, we reveal that ambient non-Fe heavy metals were mainly associated with suspended dust (34 %), implying significant health risk of dust exposure. Besides, vehicular pollution accounted for 14 % of non-Fe heavy metals, highlighting the need for a stronger control on non-exhaust vehicular emissions. Substantial contributions arose from coal combustion (9 %), steel sintering (5 %) and various industrial sources (22 %). Our results underscore the importance of accelerating the timeline for coal phaseout, and warrant a further investigation on the emissions of heavy metals from industrial activities.</div></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"27 ","pages":"Article 100342"},"PeriodicalIF":3.8000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Environment: X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590162125000322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Exposure to elevated levels of fine particulate matter (PM2.5) has been a major public health concern for decades. However, the specific sources of air toxics associated with PM2.5 remain unclear. In this study, we investigate PM2.5 pollution in Taichung, Taiwan—a representative East Asian metropolitan area— during March and November of 2021–2023 using an advanced two-stage positive matrix factorization (PMFxPMF) approach. This method enables detailed source apportionment of both bulk PM2.5 and PM2.5-bound heavy metals. Our analysis reveals that, during the East Asian winter monsoon seasons, regional transboundary pollution contributed 38 % to the PM2.5 load, while local sources—such as carbonaceous aerosols, industrial processes, ammonium nitrate/chloride, and transformed sea spray—contributed between 9 % and 20 %. Furthermore, the formation of nitrate was the primary driver of air quality deterioration. Heavy metals constituted 1.2 %–1.5 % of PM2.5 mass (0.24–0.32 μg m−3). By incorporating heavy metal fingerprints from two major local sources—coal-fired power plants and steel sintering facilities—as constraints in our PMF analysis, we reveal that ambient non-Fe heavy metals were mainly associated with suspended dust (34 %), implying significant health risk of dust exposure. Besides, vehicular pollution accounted for 14 % of non-Fe heavy metals, highlighting the need for a stronger control on non-exhaust vehicular emissions. Substantial contributions arose from coal combustion (9 %), steel sintering (5 %) and various industrial sources (22 %). Our results underscore the importance of accelerating the timeline for coal phaseout, and warrant a further investigation on the emissions of heavy metals from industrial activities.