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城市地区可吸入颗粒物(PM10)的物理化学特性:季节性趋势分析

Physico-chemical characterisation of the inhalable particulate matter (PM10) in an urban area: an analysis of the seasonal trend.

作者信息

Paoletti Luigi, De Berardis Barbara, Diociaiuti Marco

出版信息

Sci Total Environ. 2002 Jun 26;292(3):265-75. doi: 10.1016/s0048-9697(01)01134-2.

Abstract

Between October 1998 and February 2000, 11 particulate samplings were conducted in an urban area of Rome to evaluate the seasonal trend of PM10 characteristics: seven samplings were made at ground-level and four 30 m above ground level. The samples were analysed by scanning electron microscopy equipped with an EDS X-ray attachment and by transmission electron microscopy and an electron energy-loss spectrometer. The airborne particulate matter was characterised from a physico-chemical point of view to provide information on the particle composition and on the compounds carried on their surface. The data sets, consisting of the atomic concentrations of the constituent chemical elements of the fine (PM3.3) and of the coarse (PM10-3.3) particulate, were subjected to cluster analysis to determine the principal components of PM10. In the particulate matter, the statistical analysis methods allowed us to identify seven groups (clusters) of particles: C-rich particles; carbonates; silica; silicates; sulfates; Fe-rich particles; and metals. Carbonaceous and silicate particles with a surface coating containing S were observed. This sulfur-enriched coating turned out to be a PM3.3 feature strongly dependent upon season.

摘要

1998年10月至2000年2月期间,在罗马市区进行了11次颗粒物采样,以评估PM10特征的季节趋势:7次在地面进行采样,4次在离地面30米高处进行采样。通过配备能谱仪X射线附件的扫描电子显微镜、透射电子显微镜和电子能量损失谱仪对样本进行分析。从物理化学角度对空气中的颗粒物进行表征,以提供有关颗粒成分及其表面携带化合物的信息。由细颗粒物(PM3.3)和粗颗粒物(PM10 - 3.3)的组成化学元素的原子浓度组成的数据集,经过聚类分析以确定PM10的主要成分。在颗粒物中,统计分析方法使我们能够识别出七类颗粒:富含碳的颗粒;碳酸盐;二氧化硅;硅酸盐;硫酸盐;富含铁的颗粒;以及金属。观察到表面有含硫涂层的碳质和硅酸盐颗粒。这种富含硫的涂层是PM3.3的一个特征,且强烈依赖于季节。

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