Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box, 4002, Basel, Switzerland.
Environ Sci Pollut Res Int. 2013 Sep;20(9):6496-508. doi: 10.1007/s11356-013-1682-1. Epub 2013 Apr 23.
Although trans-Alpine highway traffic exhaust is one of the major sources of air pollution along the highway valleys of the Alpine regions, little is known about its contribution to residential exposure and impact on respiratory health. In this paper, source-specific contributions to particulate matter with an aerodynamic diameter < 10 μm (PM10) and their spatio-temporal distribution were determined for later use in a pediatric asthma panel study in an Alpine village. PM10 sources were identified by positive matrix factorization using chemical trace elements, elemental, and organic carbon from daily PM10 filters collected between November 2007 and June 2009 at seven locations within the village. Of the nine sources identified, four were directly road traffic-related: traffic exhaust, road dust, tire and brake wear, and road salt contributing 16 %, 8 %, 1 %, and 2 % to annual PM10 concentrations, respectively. They showed a clear dependence with distance to highway. Additional contributions were identified from secondary particles (27 %), biomass burning (18 %), railway (11 %), and mineral dust including a local construction site (13 %). Comparing these source contributions with known source-specific biomarkers (e.g., levoglucosan, nitro-polycyclic aromatic hydrocarbons) showed high agreement with biomass burning, moderate with secondary particles (in winter), and lowest agreement with traffic exhaust.
尽管穿越阿尔卑斯山脉的高速公路交通废气是阿尔卑斯地区高速公路山谷沿线主要的空气污染来源之一,但人们对其对居民暴露的贡献及其对呼吸道健康的影响知之甚少。在本文中,我们确定了特定于源的对空气动力学直径 < 10μm 的颗粒物 (PM10) 的贡献及其时空分布,以便以后在阿尔卑斯山村的儿科哮喘面板研究中使用。使用每日 PM10 过滤器中收集的化学微量元素、元素和有机碳,通过正矩阵因子分解 (PMF) 确定 PM10 源,这些过滤器于 2007 年 11 月至 2009 年 6 月在村内的七个地点收集。在所确定的九个源中,有四个与道路交通直接相关:交通废气、道路灰尘、轮胎和刹车片磨损以及道路盐分别贡献了年度 PM10 浓度的 16%、8%、1%和 2%。它们与高速公路的距离有明显的依赖关系。其他贡献来自二次粒子(27%)、生物质燃烧(18%)、铁路(11%)和包括当地建筑工地在内的矿物灰尘(13%)。将这些源贡献与已知的特定源生物标志物(例如左旋葡聚糖、硝基多环芳烃)进行比较,发现与生物质燃烧具有高度一致性,与二次粒子(冬季)具有中等一致性,与交通废气的一致性最低。