SoFi, an IGOR-based interface for the efficient use of the generalized multilinear engine (ME-2) for the source apportionment: ME-2 application to aerosol mass spectrometer data
SoFi, an IGOR-based interface for the efficient use of the generalized multilinear engine (ME-2) for the source apportionment: ME-2 application to aerosol mass spectrometer data
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DOI：
10.5194/amt-6-3649-2013
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发表时间：
2013-01-01
影响因子：
3.8
通讯作者：
Prevot, A. S. H.
中科院分区：
文献类型：
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作者：
Canonaco, F.;Crippa, M.;Prevot, A. S. H.
利用多线性引擎（ME-2）对2011年和2012年冬季在瑞士苏黎世使用气溶胶化学形态监测仪（ACSM）收集的非难治性有机气溶胶（OA）质谱进行了双线性模型源解析，并取得了成功。确定了低挥发性含氧OA （LV-OOA）、半挥发性含氧OA （SVOOA）、类碳氢化合物OA （HOA）、烹饪OA （COA）和生物质燃烧OA （BBOA）五个影响因子。PSI开发了一个图形用户界面SoFi (Source Finder)，通过提供部分或全部预期因素的先验因素概况，方便ME-2发动机内可用的不同旋转技术的测试。采用ME-2对正矩阵分解（PMF）模型、全约束化学质量平衡（CMB）模型和部分约束化学质量平衡（CMB）模型分别进行了a值和拉方程的检验。在被确定为环境合理的模型解决方案中，BBOA和SV-OOA因子质谱和时间序列表现出最大的变异性。这种变率代表了模型解的不确定性，表明对模型旋转的分析为评估双线性源分配模型的不确定性提供了一种有用的方法。
Source apportionment using the bilinear model through a multilinear engine (ME-2) was successfully applied to non-refractory organic aerosol (OA) mass spectra collected during the winter of 2011 and 2012 in Zurich, Switzerland using the aerosol chemical speciation monitor (ACSM). Five factors were identified: low-volatility oxygenated OA (LV-OOA), semivolatile oxygenated OA (SVOOA), hydrocarbon-like OA (HOA), cooking OA (COA) and biomass burning OA (BBOA). A graphical user interface SoFi (Source Finder) was developed at PSI in order to facilitate the testing of different rotational techniques available within the ME-2 engine by providing a priori factor profiles for some or all of the expected factors. ME-2 was used to test the positive matrix factorization (PMF) model, the fully constrained chemical mass balance (CMB) model, and partially constrained models utilizing a values and pulling equations. Within the set of model solutions determined to be environmentally reasonable, BBOA and SV-OOA factor mass spectra and time series showed the greatest variability. This variability represents the uncertainty in the model solution and indicates that analysis of model rotations provides a useful approach for assessing the uncertainty of bilinear source apportionment models.