Characterization of hourly-collected airborne particulate matters from an automated sampling unit of the atmospheric environmental regional observation system by in-air micro-PIXE analysis

被引:4
|
作者
Usui, Koki [1 ]
Kikuchi, Ryota [1 ]
Nakatsu, Sota [1 ]
Imayoshi, Takahiro [1 ]
Kumagai, Kimiyo [2 ]
Tago, Hiroshi [2 ]
Satoh, Takahiro [3 ]
Ishii, Yasuyuki [3 ]
Kada, Wataru [1 ]
机构
[1] Gunma Univ, Fac Sci & Technol, 1-5-1 Tenjin Cho, Kiryu, Gunma 3768515, Japan
[2] Gunma Prefectural Inst Publ Hlth & Environm Sci, 378 Kamioki, Maebashi, Gunma 3710052, Japan
[3] Natl Inst Quantum & Radiol Sci & Technol QST, Takasaki Adv Radiat Res Inst TARRI, Quantum Beam Sci Res Directorate, 1233 Watanuki, Takasaki, Gunma 3701292, Japan
关键词
Micro-PIXE; Particulate matters(PM); AEROS; Outliers; Elemental agglomerations; SOURCE APPORTIONMENT; RISK-ASSESSMENT; AEROSOLS; INSIGHTS; JAPANESE; IMPACT; CITIES; PM2.5; KOREA;
D O I
10.1016/j.nimb.2023.165106
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
We investigated element composition ratios in two sets of sequentially collected airborne particulate matter (PM) samples obtained through the automatic sampler of the Atmospheric Environmental Regional Observation System (AEROS). A series of micro-PIXE analyses and imaging were performed on a PTFE (Polytetrafluoroethylene) membrane tape filter corresponding to two hourly time slots through a high-concentration air pollution event from 26th to 27th March 2020 sampled at Ota, Japan (36.290 degrees N, 139.381 degrees E) by utilizing an external 3 MeV proton microprobe. Latent variables of sequentially collected PM samples were analyzed by the non-linear least square method and classified by those clustering driven by house-made data analysis software. Micro-PIXE imaging effectively confirmed the presence of large elemental agglomerations on the PTFE membrane tape filter of AEROS that often appeared as outliners in data analysis.
引用
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页数:7
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