A New Receptor Model Based on the Alternating Trilinear Decomposition Followed by a Score Matrix Reconstruction for Source Apportionment of Ambient Particulate Matter
Science Journal of Analytical Chemistry
Volume 8, Issue 3, September 2020, Pages: 93-106
Received: Jun. 16, 2020;
Accepted: Jul. 3, 2020;
Published: Jul. 13, 2020
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Xiang Dong Qing, College of Materials and Chemical Engineering, Hunan City University, Yiyang, China; Hunan Provincial Key Laboratory of Dark Tea and Jin-hua, Hunan City University, Yiyang, China; School of Materials and Environmental Engineering, Hunan University of Humanities, Science and Technology, Loudi, China
Lin Da Yin, School of Materials and Environmental Engineering, Hunan University of Humanities, Science and Technology, Loudi, China
Xiao Hua Zhang, Food and Bioengineering College, Xuchang University, Xuchang, China
Yi Huang, College of Materials and Chemical Engineering, Hunan City University, Yiyang, China; Hunan Provincial Key Laboratory of Dark Tea and Jin-hua, Hunan City University, Yiyang, China
Ling Xu, College of Materials and Chemical Engineering, Hunan City University, Yiyang, China; Hunan Provincial Key Laboratory of Dark Tea and Jin-hua, Hunan City University, Yiyang, China
Min He, School of Chemical Engineering, Xiangtan University, Xiangtan, China
A new receptor model based on the alternating trilinear decomposition followed by a score matrix reconstruction (ATLD-SMR) was developed for the source apportionment of urban PM10 for the first time. First, simulated three-way data arrays of gas chromatography-mass spectrometry (GC-MS) were used to verify the feasibility of the ATLD-SMR method. Then, PM10 samples (receptor) at five locations and TSP samples of ten pollution sources were collected during July and August, 2018 in Loudi City, China. The collected samples were measured by GC-MS. PAHs were used as tracers and their concentrations were accurately obtained by the ATLD-SMR analysis of GC-MS data of these samples after the problems of GC-MS including baseline drift, retention-time shift and unexpected peaks overlapping were successfully resolved. The highest concentrations of individual PAH in these samples were for phenanthrene and benzo [a] pyrene (40.76 ng m-3 and 39.63 ng m-3 in Liangang steel-making workshop, respectively). Last, a relative contribution matrix of the source to the receptor was estimated by the ATLD-SMR method. The proposed method was employed to apportion the source contributions to PM10 particles at five locations and reasonable results were obtained, thus presenting a promising tool for source apportionment of complex ambient particulate matter.
Xiang Dong Qing,
Lin Da Yin,
Xiao Hua Zhang,
A New Receptor Model Based on the Alternating Trilinear Decomposition Followed by a Score Matrix Reconstruction for Source Apportionment of Ambient Particulate Matter, Science Journal of Analytical Chemistry.
Vol. 8, No. 3,
2020, pp. 93-106.
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