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四个欧洲研究区域左旋葡聚糖的空间变化。

Spatial variations of levoglucosan in four European study areas.

机构信息

TNO, Netherlands Organization for Applied Scientific Research, Utrecht, The Netherlands.

Institute for Risk Assessment Sciences (IRAS), Utrecht University, The Netherlands.

出版信息

Sci Total Environ. 2015 Feb 1;505:1072-81. doi: 10.1016/j.scitotenv.2014.10.091. Epub 2014 Nov 11.

Abstract

Relatively little is known about long term effects of wood smoke on population health. A wood combustion marker - levoglucosan - was measured using a standardized sampling and measurement method in four European study areas (Oslo, The Netherlands, Munich/Augsburg, Catalonia) to assess within and between study area spatial variation. Levoglucosan was analyzed in addition to: PM2.5, PM2.5 absorbance, PM10, polycyclic aromatic hydrocarbons (PAH), nitrogen oxides (NOx), elemental and organic carbon (EC/OC), hopanes, steranes and elemental composition. Measurements were conducted at street, urban and regional background sites. Three two-week samples were taken per site and the annual average concentrations of pollutants were calculated using continuous measurements at one background reference site. Land use regression (LUR) models were developed to explain the spatial variation of levoglucosan. Much larger within than between study area contrast in levoglucosan concentration was found. Spatial variation patterns differed from other measured pollutants: PM2.5, NOx and EC. Levoglucosan had the highest spatial correlation with ΣPAH (r=0.65) and the lowest with traffic markers - NOx, Σhopanes/steranes (r=-0.22). Levoglucosan concentrations in the cold (heating) period were between 3 and 20 times higher compared to the warm period. The contribution of wood-smoke calculated based on levoglucosan measurements and previous European emission data to OC and PM2.5 mass was 13 to 28% and 3 to 9% respectively in the full year. Larger contributions were calculated for the cold period. The median model R(2) of the LUR models was 60%. The LUR models included population and natural land related variables. In conclusion, substantial spatial variability was found in levoglucosan concentrations within study areas. Wood smoke contributed substantially to especially wintertime PM2.5 OC and mass. The low to moderate correlation with PM2.5 mass and traffic markers offers the potential to assess health effects of wood smoke separate from traffic-related air pollution.

摘要

关于木柴燃烧烟雾对人群健康的长期影响,我们知之甚少。本研究采用标准化采样和测量方法,在四个欧洲研究区域(奥斯陆、荷兰、慕尼黑/奥格斯堡、加泰罗尼亚)测量了一种木柴燃烧标志物——左旋葡聚糖,以评估研究区域内和区域间的空间变异性。除 PM2.5、PM2.5 吸光度、PM10、多环芳烃(PAH)、氮氧化物(NOx)、元素碳和有机碳(EC/OC)、藿烷、甾烷和元素组成外,还分析了左旋葡聚糖。测量工作在街道、城市和区域背景点进行。每个地点采集三个为期两周的样本,并在一个背景参考点使用连续测量计算污染物的年平均浓度。采用土地利用回归(LUR)模型来解释左旋葡聚糖的空间变异性。研究区域内的左旋葡聚糖浓度差异远大于研究区域间的差异。空间变异模式与其他测量污染物不同:PM2.5、NOx 和 EC。左旋葡聚糖与ΣPAH 的空间相关性最高(r=0.65),与交通标志物——NOx、Σ藿烷/甾烷的相关性最低(r=-0.22)。寒冷(供暖)期的左旋葡聚糖浓度比温暖期高 3 到 20 倍。根据左旋葡聚糖测量值和以前的欧洲排放数据计算出的木柴烟雾对 OC 和 PM2.5 质量的贡献分别为全年的 13%至 28%和 3%至 9%。寒冷期的贡献更大。LUR 模型的中位数模型 R2 为 60%。LUR 模型包括人口和自然土地相关变量。总之,研究区域内的左旋葡聚糖浓度存在显著的空间变异性。木柴烟雾对尤其是冬季 PM2.5 OC 和质量的贡献很大。与 PM2.5 质量和交通标志物的低至中度相关性为评估木柴烟雾对健康的影响提供了潜力,使其与交通相关的空气污染分开评估。

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