Pollution sources affecting the oxidative potential of fine aerosols in a Portuguese urban-industrial area - an exploratory study

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Air Quality Atmosphere and Health Pub Date : 2024-04-05 DOI:10.1007/s11869-024-01556-9
Nuno Canha, Sara Gonçalves, Diogo Sousa, Carla Gamelas, Sergio Mendez, Sandra Cabo Verde, Susana Marta Almeida, Anna Rita de Bartolomeo, Maria Rachele Guascito, Eva Merico, Daniele Contini
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Abstract

This study targets to determine the oxidative potential (OP) of fine aerosols in an urban-industrial area of the Lisbon Metropolitan Area (Portugal) and, in addition, to identify which pollution sources may have an impact on the OP levels of fine aerosols. For this purpose, thirty samples were selected from a set of 128 samples collected over one year (Dec 2019-Nov 2020), based on the highest load for each source (both mass and %) previously assessed by source apportionment studies (using Positive Matrix Factorisation, a total of 7 different sources were identified: soil, secondary sulphate, fuel-oil combustion, sea, vehicle non-exhaust, vehicle exhaust and industry). The OP associated with the water-soluble components of PM2.5 was assessed using the dithiothreitol (DTT) method. The samples had a mean DTT activity (normalised to the mass) of 12.9 ± 6.6 pmol min− 1 µg− 1, ranging from 3.5 to 31.8 pmol min− 1 µg− 1. The DTT activity (normalised to the volume, \({\text{O}\text{P}}_{\text{V}}^{\text{D}\text{T}\text{T}}\)) showed to have a significant positive association with PM2.5 levels (R2 = 0.714). Considering that the mass contributions of the different sources to the PM2.5 levels were known, Spearman correlations were assessed and significant correlations were found between \({\text{O}\text{P}}_{\text{V}}^{\text{D}\text{T}\text{T}}\) and three different sources: vehicle exhaust (ρ = 0.647, p-value = 0.001), fuel-oil combustion (ρ = 0.523, p-value = 0.012) and industry (ρ = 0.463, p-value = 0.018). Using a multiple linear regression analysis, these three sources were found to explain 82% of the variability in \({\text{O}\text{P}}_{\text{V}}^{\text{D}\text{T}\text{T}}\), with vehicle exhaust being the most influential source.

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影响葡萄牙城市工业区细悬浮微粒氧化潜能的污染源--一项探索性研究
本研究旨在确定里斯本大都会区(葡萄牙)城市工业区细悬浮微粒的氧化潜能值 (OP),并确定哪些污染源可能会对细悬浮微粒的 OP 水平产生影响。为此,我们从一年(2019 年 12 月至 2020 年 11 月)收集的 128 个样本中选择了 30 个样本,其依据是之前通过源分配研究评估的每个污染源的最高负荷(质量和百分比)(使用正矩阵因式分解法,共确定了 7 个不同的污染源:土壤、二次硫酸盐、燃料油燃烧、海洋、汽车非排气、汽车尾气和工业)。采用二硫苏糖醇(DTT)法评估了与 PM2.5 水溶性成分相关的 OP。样本的平均 DTT 活性(按质量归一化)为 12.9 ± 6.6 pmol min- 1 µg- 1,介于 3.5 至 31.8 pmol min- 1 µg- 1 之间。DTT 活性(归一化为体积,\({text{O}\text{P}}_{\text{V}}^{text{D}\text{T}\text{T}}\))与 PM2.5 水平呈显著正相关(R2 = 0.714)。考虑到不同来源对 PM2.5 水平的质量贡献是已知的,对 Spearman 相关性进行了评估,发现 \({text{O}\text{P}}_{text{V}}^{text{D}\text{T}}\)与三种不同来源之间存在显著相关性:汽车尾气(ρ = 0.647, p-value = 0.001)、燃油燃烧(ρ = 0.523, p-value = 0.012)和工业(ρ = 0.463, p-value = 0.018)。通过多元线性回归分析发现,这三个来源可解释 82% 的 \({text{O}\text{P}}_{text{V}}^{text{D}\text{T}\text{T}}) 变化,其中汽车尾气是影响最大的来源。
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来源期刊
Air Quality Atmosphere and Health
Air Quality Atmosphere and Health ENVIRONMENTAL SCIENCES-
CiteScore
8.80
自引率
2.00%
发文量
146
审稿时长
>12 weeks
期刊介绍: Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health. It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes. International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals. Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements. This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.
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