Analysis of mobile monitoring data from the microAeth (R) MA200 for measuring changes in black carbon on the roadside in Augsburg
文献类型：期刊论文
| 作者 | Liu, Xiansheng2,4,5; Hadiatullah, Hadiatullah6; Zhang, Xun2,7; Hill, L. Drew1; White, Andrew H. A.1,8; Schnelle-Kreis, Juergen4; Bendl, Jan3,4; Jakobi, Gert4; Schloter-Hai, Brigitte4; Zimmermann, Ralf4,5 |
| 刊名 | ATMOSPHERIC MEASUREMENT TECHNIQUES
 |
| 出版日期 | 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. |
| WOS关键词 | AIR-QUALITY ; ULTRAFINE PARTICLE ; PERSONAL EXPOSURE ; REGRESSION ; STATIONARY ; FINE |
| 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研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000679662400004 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| 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 |
| 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.AethLabs, San Francisco, CA USA 2.Beijing Technol & Business Univ, Sch Comp Sci & Engn, Beijing Key Lab Big Data Technol Food Safety, Beijing 100048, Peoples R China 3.Charles Univ Prague, Fac Sci, Inst Environm Studies, Prague, Czech Republic 4.Helmholtz Zentrum Munchen, Joint Mass Spectrometry Ctr, German Res Ctr Environm Hlth, Comprehens Mol Analyt, Ingolstadter Landstr 1, D-85764 Neuherberg, Germany 5.Univ Rostock, Joint Mass Spectrometry Ctr, Analyt Chem, D-18059 Rostock, Germany 6.Tianjin Univ, Sch Pharmaceut Sci & Technol, Tianjin 300072, Peoples R China 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Resources Utilizat & Environm Remediat, Beijing 100101, Peoples R China 8.Yale Sch Med, New Haven, CT USA |
| 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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