Analysis of mobile monitoring data from the microAeth (R) MA200 for measuring changes in black carbon on the roadside in Augsburg

doi:10.5194/amt-14-5139-2021

	Analysis of mobile monitoring data from the microAeth (R) MA200 for measuring changes in black carbon on the roadside in Augsburg
	Liu, Xiansheng 2,3,4; Hadiatullah, Hadiatullah 5; Zhang, Xun 1,2; Hill, L. Drew 6; White, Andrew H. A.6,7; Schnelle-Kreis, Juergen 3; Bendl, Jan 3,8; Jakobi, Gert 3; Schloter-Hai, Brigitte 3; Zimmermann, Ralf 3,4
刊名	ATMOSPHERIC MEASUREMENT TECHNIQUES
	2021-07-28
卷号	14 期号:7 页码:5139-5151
ISSN号	1867-1381
DOI	10.5194/amt-14-5139-2021
通讯作者	Zhang, Xun(zhangxun@btbu.edu.cn) ; Schnelle-Kreis, Juergen(juergen.schnelle@helmholtz-muenchen.de)
英文摘要	The portable microAeth (R) MA200 (MA200) is widely applied for measuring black carbon in human exposure profiling and mobile air quality monitoring. Due to it being relatively new on the market, the field lacks a refined assessment of the instrument's performance under various settings and data post-processing approaches. This study assessed the mobile real-time performance of the MA200 to determine a suitable noise reduction algorithm in an urban area, Augsburg, Germany. Noise reduction and negative value mitigation were explored via different data post-processing methods (i.e., local polynomial regression (LPR), optimized noise reduction averaging (ONA), and centred moving average (CMA)) under common sampling interval times (i.e., 5, 10, and 30 s). After noise reduction, the treated data were evaluated and compared by (1) the amount of useful information attributed to retention of microenvironmental characteristics, (2) the relative number of negative values remaining, (3) the reduction and retention of peak samples, and (4) the amount of useful signal retained after correction for local background conditions. Our results identify CMA as a useful tool for isolating the central trends of raw black carbon concentration data in real time while reducing nonsensical negative values and the occurrence and magnitudes of peak samples that affect visual assessment of the data without substantially affecting bias. Correction for local background concentrations improved the CMA treatment by bringing nuanced microenvironmental changes into view. This analysis employs a number of different post-processing methods for black carbon data, providing comparative insights for researchers looking for black carbon data smoothing approaches, specifically in a mobile monitoring framework and data collected using the microAeth (R) series of Aethalometer.
资助项目	National Key Research and Development Program of China[2020YFB1806500] ; Support Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five-year Plan[CITTCD201904037] ; National Natural Science Foundation of China[81800854] ; Germany Federal Ministry of Transport and Digital Infrastructure (BMVI) as part of SmartAQnet[19F2003B]
WOS关键词	AIR-QUALITY ; ULTRAFINE PARTICLE ; PERSONAL EXPOSURE ; REGRESSION ; STATIONARY ; FINE
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	COPERNICUS GESELLSCHAFT MBH
WOS记录号	WOS:000679662400004
资助机构	National Key Research and Development Program of China ; Support Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five-year Plan ; National Natural Science Foundation of China ; Germany Federal Ministry of Transport and Digital Infrastructure (BMVI) as part of SmartAQnet
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/164791]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Xun; Schnelle-Kreis, Juergen
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Resources Utilizat & Environm Remediat, Beijing 100101, Peoples R China 2.Beijing Technol & Business Univ, Sch Comp Sci & Engn, Beijing Key Lab Big Data Technol Food Safety, Beijing 100048, Peoples R China 3.Helmholtz Zentrum Munchen, Joint Mass Spectrometry Ctr, German Res Ctr Environm Hlth, Comprehens Mol Analyt, Ingolstadter Landstr 1, D-85764 Neuherberg, Germany 4.Univ Rostock, Joint Mass Spectrometry Ctr, Analyt Chem, D-18059 Rostock, Germany 5.Tianjin Univ, Sch Pharmaceut Sci & Technol, Tianjin 300072, Peoples R China 6.AethLabs, San Francisco, CA USA 7.Yale Sch Med, New Haven, CT USA 8.Charles Univ Prague, Fac Sci, Inst Environm Studies, Prague, Czech Republic
推荐引用方式 GB/T 7714	Liu, Xiansheng,Hadiatullah, Hadiatullah,Zhang, Xun,et al. Analysis of mobile monitoring data from the microAeth (R) MA200 for measuring changes in black carbon on the roadside in Augsburg[J]. ATMOSPHERIC MEASUREMENT TECHNIQUES,2021,14(7):5139-5151.
APA	Liu, Xiansheng.,Hadiatullah, Hadiatullah.,Zhang, Xun.,Hill, L. Drew.,White, Andrew H. A..,...&Zimmermann, Ralf.(2021).Analysis of mobile monitoring data from the microAeth (R) MA200 for measuring changes in black carbon on the roadside in Augsburg.ATMOSPHERIC MEASUREMENT TECHNIQUES,14(7),5139-5151.
MLA	Liu, Xiansheng,et al."Analysis of mobile monitoring data from the microAeth (R) MA200 for measuring changes in black carbon on the roadside in Augsburg".ATMOSPHERIC MEASUREMENT TECHNIQUES 14.7(2021):5139-5151.