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DOI10.1016/j.atmosres.2018.12.010
Temporal distribution and source apportionment of PM2.5 chemical composition in Xinjiang, NW-China
Turap, Yusan1; Talifu, Dilinuer1; Wang, Xinming2; Abulizi, Abulikemu1; Maihemuti, Mailikezhati1; Tursun, Yalkunjan1; Ding, Xiang2; Aierken, Tuergong1; Rekefu, Suwubinuer1
2019-04-01
发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
EISSN1873-2895
出版年2019
卷号218页码:257-268
文章类型Article
语种英语
国家Peoples R China
英文摘要

Daily fine particulate matter samples were collected in Dushanzi district within four months from September 2015 to August 2016 and represent the four seasons. The samples were determined for major chemical components in PM2.5, including elements, water-soluble ions (WSIs) and the organic/elemental carbon (OC/EC). The results indicated that the annual mean PM2.5 concentration was 62.85 +/- 43.5 mu g m(-3) in the Dushanzi district, with the highest seasonal average in winter (95.47 +/- 61.7 mu g m(-3)) and the lowest in summer (33.22 +/- 17.7 mu g m(-3)). The crustal elements were the most abundant elements and accounted for 96.51% of the total analyzed elements. Carcinogenic metals, such as Cr, Pb, As and Cd, originated from human activity, especially during winter. The highest total WSI concentration was 68.99 mu g m(-3) in winter, followed by autumn (16.32 mu g m(-3)), spring (10.23 mu g m(-3)) and summer (7.06 mu g m(-3)). SO42-, NO3- and NH4+ were the most abundant WSIs in Dushanzi. Ion balance calculations showed that PM2.5 in winter was acidic; in autumn and spring alkaline; and in summer nearly neutral. Total carbonaceous aerosol (TCA) accounted for 34% of the PM2.5. The chemical mass closure (CMC) indicated that minerals and WSIs were the major fraction, accounting for 33.58% and 23.17% of PM2.5 mass concentration, respectively. Dushanzi was controlled by four major air masses, and the relative contributions of these air masses differ by season. Positive matrix factorization (PMF) analysis identified six sources including vehicle emission, biomass burning, coal combustion, industrial pollution, secondary aerosols and soil dust, with annual mean contributions of 9.43%, 10.86%, 18.45%, 12.15%, 18.26% and 30.85%, respectively. Moreover, the relative contributions of these identified sources varied significantly with the changing seasons.


英文关键词Fine particulate matter Chemical composition Hysplit trajectory model Sources apportionment
领域地球科学
收录类别SCI-E
WOS记录号WOS:000457814600021
WOS关键词SOURCE IDENTIFICATION ; ELEMENTAL CHARACTERIZATION ; TRANSPORT PATHWAYS ; AMBIENT PM2.5 ; AEROSOL ; URBAN ; POLLUTION ; PM10 ; CITY ; PARTICULATE
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/38280
专题地球科学
作者单位1.Xinjiang Univ, Coll Chem & Chem Engn, Key Lab Coal Clean Convers & Chem Engn Proc, Urumqi 830046, Peoples R China;
2.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China
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GB/T 7714
Turap, Yusan,Talifu, Dilinuer,Wang, Xinming,et al. Temporal distribution and source apportionment of PM2.5 chemical composition in Xinjiang, NW-China[J]. ATMOSPHERIC RESEARCH,2019,218:257-268.
APA Turap, Yusan.,Talifu, Dilinuer.,Wang, Xinming.,Abulizi, Abulikemu.,Maihemuti, Mailikezhati.,...&Rekefu, Suwubinuer.(2019).Temporal distribution and source apportionment of PM2.5 chemical composition in Xinjiang, NW-China.ATMOSPHERIC RESEARCH,218,257-268.
MLA Turap, Yusan,et al."Temporal distribution and source apportionment of PM2.5 chemical composition in Xinjiang, NW-China".ATMOSPHERIC RESEARCH 218(2019):257-268.
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