PIXE和XRF用于北京新镇地区PM2.5源解析研究

Source Apportionment of PM2.5 in Xinzhen,Beijing Using PIXE and XRF

  • 摘要: 大气颗粒物(APM)对人体健康和环境的影响越来越受重视,我国增设了PM2.5标准,同时提出了大气污染的专项治理措施。本文采用GENT二级取样器在北京郊区新镇进行连续取样,并用质子激发X射线荧光分析和能量色散X射线荧光分析对北京新镇地区收集到的140个大气颗粒物样品进行了多元素分析,对测量数据进行了可靠性评价和数据重组,结合取样、气象等参数建立了新镇地区大气颗粒物污染成分数据库,利用正矩阵因子模型进行污染源解析研究。初步认定了5个主要污染源,即燃煤源(29.2%)、汽车尾气和垃圾焚烧源(26.2%)、建筑工业源(23.3%)、土壤源(15.4%)以及含氯工业源(5.9%)。并结合气象数据进行了污染源来源研究,根据条件概率函数和潜在源贡献函数的计算结果作出了污染源来源分布图,发现污染来源与周围环境基本符合。

     

    Abstract: Increasing attention has been paid to the influence of airborne particulate matter (APM) on human health and environment. China has set new standards for PM2.5, and adopted particular measures to control air pollution. GENT sampler was used to collect sample in Xinzhen, southwest suburb of Beijing. Proton induced X-ray emission and X-ray fluorescence were used to analyze 140 APM samples for multielements. Reliability assessment and data reconstruction were made in order to build a local air pollution elemental database, which includes elemental concentrations, sampling parameters and meteorology parameters. The source apportionment was analyzed by positive matrix factorization model. Five major sources in Xinzhen were identified and their corresponding apportionment rates were estimated. They are coal burning (29.2%), vehicle exhaust and waste incineration (26.2%), construction industry (23.3%), soil (15.4%), and industry with chlorine (5.9%). The trajectories of sources were analyzed using source contribution rates and global meteorological data. Conditional probability function and the potential source contribution function were used to determine where the sources came from, and the results correspond with surroundings.

     

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