A Build-In Data Inversion Method to Retrieve Aerosol Size Distributions for a Portable Ultrafine Particle Sizer (PUPS)
文献类型：期刊论文
| 作者 | Yang, Jie1,2 ; Wang, Huanqin2,3; Zhou, Jitong1,2; Chen, Da-Ren4; Kong, Deyi1,2,3; Yu, Fajun2; Gui, Huaqiao5; Liu, Jianguo5; Chen, Mingjie2,3
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| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2021 |
| 卷号 | 9 |
| 关键词 | Multiple charging excessive overlap classification voltages post facto smoothing synthesized data |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2020.3047627 |
| 通讯作者 | Wang, Huanqin(hqwang@iim.ac.cn) |
| 英文摘要 | A build-in data inversion method to retrieve aerosol size distributions based on the principle of particle electrical mobility has been introduced, whose required computational effort is low for a portable ultrafine particle sizer (PUPS). The PUPS is cost-effective for the measurements of the fine and ultrafine particles in polluted environments near-source (e.g., cities with high traffic density, freeways, airports or stationary combustion sources). The particle sizer is mainly composed of a unipolar charger, a plate differential mobility analyzer (PDMA), and a Faraday cup electrometer (FCE). The classification efficiencies of the PDMA are strongly dependent on the charging distribution of the unipolar charger, in which multiple charging is more significant than that for a bipolar charger. To reduce the excessive overlap in the kernel function caused by multiple charging, a guidance method for selecting the classification voltages and operating parameters of the PDMA is proposed with the help of MATLAB. Subsequently, a combination of the nonnegative least squares (NNLS) algorithm and post facto smoothing method has been employed to derive the discretized solution of the Fredholm integral equation of the first kind. In the end, the accuracy and stability of the proposed approach are tested under a range of particle size distribution scenarios. The synthesized data results show that for the unimodal aerosol distribution, almost all of the relative errors are less than 20 %, regardless of nonideal operating conditions. The inversion algorithm can be run on Cortex-M3, an ARM embedded chip for low-cost and low-power consumption applications. When a reasonable error range can be permitted, the inversion algorithm can meet the requirements of the PUPS. |
| 资助项目 | National Key Research and Development Program of China[2016YFC0201000] ; Natural Science Foundation of China[61673368] ; Science and Technological Fund of Anhui Province for Outstanding Youth[1808085J19] ; State Scholarship Fund |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000606563000001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Research and Development Program of China ; Natural Science Foundation of China ; Science and Technological Fund of Anhui Province for Outstanding Youth ; State Scholarship Fund |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/119575]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Wang, Huanqin |
| 作者单位 | 1.Hefei Univ Technol, Acad Elect Sci & Appl Phys, Hefei 230009, Peoples R China 2.Chinese Acad Sci, Inst Intelligent Machines, State Key Lab Transducer Technol, Hefei 230031, Peoples R China 3.Univ Sci & Technol China, Sci Isl Branch Grad Sch, Hefei 230026, Peoples R China 4.Virginia Commonwealth Univ, Dept Mech & Nucl Engn, Particle Lab, Richmond, VA 23284 USA 5.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Jie,Wang, Huanqin,Zhou, Jitong,et al. A Build-In Data Inversion Method to Retrieve Aerosol Size Distributions for a Portable Ultrafine Particle Sizer (PUPS)[J]. IEEE ACCESS,2021,9. |
| APA | Yang, Jie.,Wang, Huanqin.,Zhou, Jitong.,Chen, Da-Ren.,Kong, Deyi.,...&Chen, Mingjie.(2021).A Build-In Data Inversion Method to Retrieve Aerosol Size Distributions for a Portable Ultrafine Particle Sizer (PUPS).IEEE ACCESS,9. |
| MLA | Yang, Jie,et al."A Build-In Data Inversion Method to Retrieve Aerosol Size Distributions for a Portable Ultrafine Particle Sizer (PUPS)".IEEE ACCESS 9(2021). |
入库方式： OAI收割
来源：合肥物质科学研究院
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