Quantitative sampling using an Aerodyne aerosol mass spectrometer - 1. Techniques of data interpretation and error analysis
Quantitative sampling using an Aerodyne aerosol mass spectrometer - 1. Techniques of data interpretation and error analysis
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DOI：
10.1029/2002jd002358
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发表时间：
2003-02-04
影响因子：
4.4
通讯作者：
Worsnop, DR
中科院分区：
文献类型：
--
作者：
Allan, JD;Jimenez, JL;Worsnop, DR
由Aerodyne研究公司制造的气溶胶质谱仪（AMS）已被证明能够以高时间分辨率提供有关挥发性和半挥发性空气中细微颗粒物的化学成分和大小的定量信息。用于解释该仪器的数据并产生有意义的定量结果的分析和软件工具已经开发出来，并在这里简要介绍了该仪器。这些包括通过应用校准数据将四极杆质谱仪在质谱（MS）操作模式中检测到的离子速率转换为化学物质的大气质量浓度（单位为马克杯m(-3)）。还需要对电子倍增器性能的变化进行校正，并提出了一种测量仪器对气相信号响应的方法。本文还介绍了应用粒子速度校准数据和将飞行时间（TOF）模式信号转换为气动直径（dM/dlog（D-a）分布）的化学质量分布的技术。还可以分别通过评估离子计数统计和背景信号的可变性来量化MS和TOF数据中的不确定性。本文附有本系列的第2部分，其中这些方法用于处理和分析AMS在一年中的不同时间对两个英国城市的环境气溶胶的结果。
[1] The aerosol mass spectrometer (AMS), manufactured by Aerodyne Research, Inc., has been shown to be capable of delivering quantitative information on the chemical composition and size of volatile and semivolatile fine airborne particulate matter with high time resolution. Analytical and software tools for interpreting the data from this instrument and generating meaningful, quantitative results have been developed and are presented here with a brief description of the instrument. These include the conversion of detected ion rates from the quadrupole mass spectrometer during the mass spectrum (MS) mode of operation to atmospheric mass concentrations of chemical species (in mug m(-3)) by applying calibration data. It is also necessary to correct for variations in the electron multiplier performance, and a method involving the measurement of the instrument's response to gas phase signals is also presented. The techniques for applying particle velocity calibration data and transforming signals from time of flight (TOF) mode to chemical mass distributions in terms of aerodynamic diameter (dM/dlog(D-a) distributions) are also presented. It is also possible to quantify the uncertainties in both MS and TOF data by evaluating the ion counting statistics and variability of the background signal, respectively. This paper is accompanied by part 2 of this series, in which these methods are used to process and analyze AMS results on ambient aerosol from two U. K. cities at different times of the year.