Characteristics and sources of hourly elements in PM10 and PM2.5 during wintertime in Beijing | |
Rai, Pragati1; Furger, Markus1; Slowik, Jay G.1; Zhong, Haobin2; Tong, Yandong1; Wang, Liwei1; Duan, Jing2; Gu, Yifang2; Qi, Lu1; Huang, Ru-Jin2; Cao, Junji2; Baltensperger, Urs1; Prevot, Andre S. H.1 | |
Corresponding Author | Furger, Markus(markus.furger@psi.ch) ; Prevot, Andre S. H.(andre.prevot@psi.ch) |
2021-06-01 | |
Source Publication | ENVIRONMENTAL POLLUTION
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ISSN | 0269-7491 |
Volume | 278Pages:11 |
Abstract | Characteristics and sources of ambient particle elements in urban Beijing were studied by hourly ob-servations in two size fractions (PM10 and PM2.5) during November and December 2017 using an online multi-element analyzer. The reconstructed oxide concentrations of 24 elements (from Al to Pb) comprise an appreciable fraction of PM10 and PM2.5, accounting for 37% and 17%, respectively on average. We demonstrate the benefit of using high-time-resolution chemical speciation data in achieving robust source apportionment of the total elemental PM10 (PM10el) and elemental PM2.5 (PM2.5el) mass using positive matrix factorization (PMF). Biomass burning, coal combustion, secondary sulfate, industry, non -exhaust traffic and dust were identified in both size fractions (with varying relative concentrations), which accounted on average for 4%, 12%, 5%, 2%, 14%, and 63%, respectively to the total PM10el, and 14%, 35%, 21%, 6%, 12% and 12%, respectively to the total PM2.5el. Biomass burning and coal combustion exhibited higher concentrations during haze episodes of the heating season. In contrast, secondary sulfate and industry contributed more to haze episodes during the non-heating season. The fractional contribution of dust was mostly high during clean days, while the fractional non-exhaust traffic emission contribution was similar throughout the measurement period. The non-exhaust traffic emissions contributed locally, while the remaining sources were dominated by neighboring areas. Furthermore, trajectory analysis showed that the origin of the industrial sources roughly agreed with the locations of the main point sources. Overall, this work provides detailed information on the characteristics of the elements during different haze events during heating and non-heating seasons. (C) 2021 The Author(s). Published by Elsevier Ltd. |
Keyword | Source apportionment Urban air pollution Coal combustion Industries Regional source areas |
DOI | 10.1016/j.envpol.2021.116865 |
WOS Keyword | AMBIENT PARTICULATE MATTER ; SOURCE APPORTIONMENT ; TRACE-ELEMENTS ; MULTILINEAR ENGINE ; AIR-POLLUTION ; HEAVY-METALS ; RIVER DELTA ; CHINA ; EMISSIONS ; SITE |
Indexed By | SCI ; SCI |
Language | 英语 |
Funding Project | Swiss National Science Foundation (SNSF)[200021_162448] ; Swiss National Science Foundation (SNSF)[200021_169787] ; Swiss National Science Foundation (SNSF)[BSSGI0_155846] ; Swiss Federal Office for the Environment (FOEN) ; Sino-Swiss Science and Technology Cooperation (SSSTC) project HAZECHINA[IZLCZ2_169986] ; Sino-Swiss Cooperation on Air Pollution Source Apportionment for Better Air[7F-09802.01] ; SDC Clean-Air-China Programme[7F-09802.01.03] ; National Science Foundation of China[21661132005] ; EU Horizon 2020 via the ERA-PLANET[689443] ; EU Horizon 2020 via transnational project SMURBS[689443] ; Swiss State Secretariat for Education, Research and Innovation (SERI)[15.0329-1] |
WOS Research Area | Environmental Sciences & Ecology |
Funding Organization | Swiss National Science Foundation (SNSF) ; Swiss Federal Office for the Environment (FOEN) ; Sino-Swiss Science and Technology Cooperation (SSSTC) project HAZECHINA ; Sino-Swiss Cooperation on Air Pollution Source Apportionment for Better Air ; SDC Clean-Air-China Programme ; National Science Foundation of China ; EU Horizon 2020 via the ERA-PLANET ; EU Horizon 2020 via transnational project SMURBS ; Swiss State Secretariat for Education, Research and Innovation (SERI) |
WOS Subject | Environmental Sciences |
WOS ID | WOS:000641372900007 |
Publisher | ELSEVIER SCI LTD |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.ieecas.cn/handle/361006/16407 |
Collection | 粉尘与环境研究室 |
Corresponding Author | Furger, Markus; Prevot, Andre S. H. |
Affiliation | 1.Paul Scherrer Inst, Lab Atmospher Chem, CH-5232 Villigen, Switzerland 2.Chinese Acad Sci, Inst Earth Environm, Key Lab Aerosol Chem & Phys, Xian 710075, Peoples R China |
Recommended Citation GB/T 7714 | Rai, Pragati,Furger, Markus,Slowik, Jay G.,et al. Characteristics and sources of hourly elements in PM10 and PM2.5 during wintertime in Beijing[J]. ENVIRONMENTAL POLLUTION,2021,278:11. |
APA | Rai, Pragati.,Furger, Markus.,Slowik, Jay G..,Zhong, Haobin.,Tong, Yandong.,...&Prevot, Andre S. H..(2021).Characteristics and sources of hourly elements in PM10 and PM2.5 during wintertime in Beijing.ENVIRONMENTAL POLLUTION,278,11. |
MLA | Rai, Pragati,et al."Characteristics and sources of hourly elements in PM10 and PM2.5 during wintertime in Beijing".ENVIRONMENTAL POLLUTION 278(2021):11. |
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