Review of online source apportionment research based on observation for ambient particulate matter

被引：36

作者：

Wang, Feng ^{[1
]}

Yu, Haofei ^{[2
]}

Wang, Zhenyu ^{[1
]}

Liang, Weiqing ^{[1
]}

Shi, Guoliang ^{[1
]}

Gao, Jian ^{[3
]}

Li, Mei ^{[4
,5
]}

Feng, Yinchang ^{[1
]}

机构：

[1] Nankai Univ, Coll Environm Sci & Engn, Tianjin Key Lab Urban Transport Emiss Res, State Environm Protect Key Lab Urban Ambient Air, Tianjin 300350, Peoples R China

[2] Univ Cent Florida, Dept Civil Environm & Construct Engn, Orlando, FL 32816 USA

[3] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 10084, Peoples R China

[4] Jinan Univ, Inst Mass Spectrometry & Atmospher Environm, Guangdong Prov Engn Res Ctr On Line Source Apport, Guangzhou 510632, Peoples R China

[5] Guangdong Hongkong Macau Joint Lab Collaborat Inn, Guangzhou 510632, Peoples R China

来源：

SCIENCE OF THE TOTAL ENVIRONMENT | 2021年 / 762卷

基金：

中国国家自然科学基金;

关键词：

Particulate matter; Online source apportionment; Online instrument; Mass spectrometric techniques; Receptor models; AEROSOL MASS-SPECTROMETER; POSITIVE MATRIX FACTORIZATION; SINGLE-PARTICLE ANALYSIS; WATER-SOLUBLE IONS; PEARL RIVER DELTA; ATMOSPHERIC AEROSOLSURECENT DEVELOPMENTS; CHEMICAL SPECIATION MONITOR; REAL-TIME CHARACTERIZATION; CHINESE SPRING FESTIVAL; HIGH-RESOLUTION;

D O I：

10.1016/j.scitotenv.2020.144095

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Particulate matter source apportionment (SA) is the basis and premise for preventing and controlling haze pollution scientifically and effectively. Traditional offline SA methods lack the capability of handling the rapid changing pollution sources during heavy air pollution periods. With the development of multiple online observation techniques, online SA of palticulate matter can now be realized with high temporal resolution, stable and reliable continuous observation data on particle compositions. Here, we start with a summary of online measuring instruments for monitoring particulale matters that contains both online mass concentration (online MC) measurement, and online mass spectrometric (online MS) techniques. The former technique collects ambient particulale matter onto filler membrane and measures the concentrations of chemical components in the particulate matter subsequently. The kilter technique could be further divided into two categories: bulk measurement and single particle measurement Aerosol Mass Spectrometers (AMS) could provide mass spectral information of chemical components of non-refractory aerosols, especially organic aerosols. While the emergence of single particle aerosol mass spectrometer (SPAMS) technology can provide large number of high time resolution data for online source resolution. This is closely followed by an overview of the methods and results of SA. However, online instruments are still facing challenges, such as abnormal or missing measurements, that could impact the accuracy of online dataset. Machine leaning algorithm are suited for processing the large amount of online observation data, which could be further considered. In addition, the key research challenges and future directions are presented including the integration of online dataset from different online instruments, the ensemble-trained source apportionment approach, and the quantification of source-category-specific human health risk based on online instrumentation and SA methods. (C) 2020 Elsevier B.V. All rights reserved.

引用

页数：16

共 247 条

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