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大气颗粒物的源解析:欧拉/拉格朗日联合方法

Source apportion of atmospheric particulate matter: a joint Eulerian/Lagrangian approach.

作者信息

Riccio A, Chianese E, Agrillo G, Esposito C, Ferrara L, Tirimberio G

机构信息

Department of Science and Technology, University of Naples Parthenope, Naples, Italy,

出版信息

Environ Sci Pollut Res Int. 2014 Dec;21(23):13160-8. doi: 10.1007/s11356-013-2367-5. Epub 2013 Nov 26.

DOI:10.1007/s11356-013-2367-5
PMID:24277435
Abstract

PM2.5 samples were collected during an annual monitoring campaign (January 2012-January 2013) in the urban area of Naples, one of the major cities in Southern Italy. Samples were collected by means of a standard gravimetric sampler (Tecora Echo model) and characterized from a chemical point of view by ion chromatography. As a result, 143 samples together with their ionic composition have been collected. We extend traditional source apportionment techniques, usually based on multivariate factor analysis, interpreting the chemical analysis results within a Lagrangian framework. The Hybrid Single-Particle Lagrangian Integrated Trajectory Model (HYSPLIT) model was used, providing linkages to the source regions in the upwind areas. Results were analyzed in order to quantify the relative weight of different source types/areas. Model results suggested that PM concentrations are strongly affected not only by local emissions but also by transboundary emissions, especially from the Eastern and Northern European countries and African Saharan dust episodes.

摘要

在意大利南部主要城市之一那不勒斯市区进行的年度监测活动(2012年1月至2013年1月)期间采集了细颗粒物(PM2.5)样本。样本通过标准重量采样器(Tecora Echo型号)采集,并通过离子色谱从化学角度进行表征。结果,共采集了143个样本及其离子组成。我们扩展了通常基于多变量因子分析的传统源解析技术,在拉格朗日框架内解释化学分析结果。使用了混合单粒子拉格朗日综合轨迹模型(HYSPLIT),该模型提供了与上风区域源区的联系。对结果进行了分析,以量化不同源类型/区域的相对权重。模型结果表明,PM浓度不仅受到本地排放的强烈影响,还受到越境排放的强烈影响,特别是来自东欧和北欧国家以及非洲撒哈拉沙尘事件的排放。

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