Figure. Diagram of the association of the EEM profiles with the possible chemical structures and sources of atmospheric chromophores.
圖1.The average EEM spectra of (a1) water-soluble matter (WSM), (a2) methanol-soluble matter (MSM) and MSM-WSM (a3). Additionally, the frequency distributions of the Pearson's correlation coefficients between different sample EEMs are calculated from the EEM pixel data points of the three groups of samples.
圖2. (a) EEM profiles of the chromophores derived from the PARAFAC model of the water-soluble matter (WSM) and methanol-soluble matter (MSM) of the primary (POA) and secondary (SOA) organic aerosol samples and Xi'an PM2.5samples. (b) The normalized fluorescence volumes (NFVs) of the WSM and MSM of the POA, SOA and Xi'an PM2.5samples. (c) Relative abundances of the chromophores of the WSM (c1) and MSM (c2) of the POA, SOA and Xi'an PM2.5samples. (d) Relative contributions of the fluorescent volumes of the WSM and MSM. In the figure, BB is the biomass burning sample, CB is the coal burning sample, CE is the cooking emission sample, VE is the vehicle emission sample, and classes 1–3 represent the SOA samples with low to high oxidation levels.
如圖2a所示,從環境樣品、初級樣品和次級樣品的EEM數據中鑑定出八個發色團,這八個發色團顯示出不同的EEM分布特徵,這與先前研究中鑑定的發色團相似。圖2c表明,不同樣品中水溶性和水不溶性發色團的相對比例是不同的,並且它們也隨著季節而顯著變化。某些發色團的相對含量也表現出類似的季節變化;例如,粉塵和光化學過程相關發色團的時間趨勢可以有效地反映周圍大氣氣溶膠的來源和化學過程。
圖3. (a) EEM profiles of the chromophores derived from the PARAFAC model of the water-soluble matter (WSM) and methanol-soluble matter (MSM) in the ambient PM2.5samples. (b) Relative loadings of the chromophores corresponding to the different pollutants. (c) Relative abundances of the chromophores of the WSM and MSM in the Xi'an PM2.5samples. In addition, the sources represented by C1, C4, C5, C7, and C8 in the legends in panels b and c can only characterize the major sources of the fluorophore substances rather than individual sources.
文章來源:Chen Q , Li J , Hua X , et al. Identification of species and sources of atmospheric chromophores by fluorescence excitation-emission matrix with parallel factor analysis[J]. The science of the Total Environment, 2020, 718(May20):137322.1-137322.10.