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The Southeastern Aerosol Research and Characterization Study, part 3: Continuous measurements of fine particulate matter mass and composition

机译:东南气溶胶研究与表征研究,第3部分:连续测量细颗粒物质的质量和组成

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Deployment of continuous analyzers in the Southeastern Aerosol Research and Characterization Study (SEARCH) network began in 1998 and continues today as new technologies are developed. Measurement of fine particulate matter (PM2.5) mass is performed using a dried, 30 degrees C tapered element oscillating microbalance (TEOM). TEOM measurements are complemented by observations of light scattering by nephelometry. Measurements of major constituents include: (1) SO42- via reduction to SO2; (2) NH4+ and NO3- via respective catalytic oxidation and reduction to NO, (3) black carbon (BC) by optical absorption, (4) total carbon by combustion to CO,, and (5) organic carbon, by difference between the latter two measurements. Several illustrative examples of continuous data from the SEARCH network are presented. A distinctive composite annual average diurnal pattern is observed for PM2.5 mass, nitrate, and BC, likely indicating the influence of traffic-related emissions, growth, and break up of the boundary layer and formation of ammonium nitrate. Examination of PM2.5 components indicates the need to better understand the continuous composition of the unmeasured "other" category, because it contributes a significant fraction to total mass during periods of high PM2.5 loading. Selected episodes are presented to illustrate applications of SEARCH data. An SO2 conversion rate of 0.2%/hr is derived from an observation of a plume from a coal-fired power plant during early spring, and the importance of local, rural sources of NH3 to the formation of ammonium nitrate in particulate matter (PM) is demonstrated.
机译:1998年开始在东南气溶胶研究与表征研究(SEARCH)网络中部署连续分析仪,随着新技术的发展,这种分析仪一直持续到今天。细颗粒物(PM2.5)质量的测量是使用干燥的30摄氏度的锥形振动小天平(TEOM)进行的。通过浊度法观察光散射来补充TEOM测量。主要成分的测量包括:(1)SO42-通过还原为SO2; (2)NH4 +和NO3-通过各自的催化氧化并还原为NO,(3)通过光吸收吸收黑碳(BC),(4)通过燃烧转化为CO的总碳,以及(5)有机碳之间的差异后两次测量。给出了来自SEARCH网络的连续数据的几个说明性示例。对于PM2.5质量,硝酸盐和BC,观察到了独特的复合年平均日模式,这可能表明与交通有关的排放,增长以及边界层破裂和硝酸铵形成的影响。对PM2.5组件的检查表明需要更好地理解未测“其他”类别的连续组成,因为在PM2.5负载较高的时期,它对总质量的贡献很大。呈现所选情节以说明SEARCH数据的应用。 SO2的转化率为0.2%/小时,这是由于观察到了一个燃煤电厂在初春期间产生的烟羽,以及当地的农村NH3源对颗粒物(PM)中硝酸铵形成的重要性。被证明。

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