Literature DB >> 30199673

Characteristics and oxidative potential of atmospheric PM2.5 in Beijing: Source apportionment and seasonal variation.

ShuangYu Yu1, WeiJian Liu1, YunSong Xu1, Kan Yi1, Ming Zhou2, Shu Tao1, WenXin Liu3.   

Abstract

PM2.5 (particulate matter with the aerodynamic diameter Dp < 2.5 μm) was hypothesized to generate reactive oxygen species (ROS) and induce oxidative stress associated with inflammation and cardiovascular diseases. In the current study, PM2.5 concentrations, water-soluble ions and elements, carbonaceous components and ROS activity characterized by the dithiothreitol (DTT) assay were determined for the PM2.5 samples collected in Beijing, China, over a whole year. Source apportionments of PM2.5 and DTT activity were also performed. The mean ± standard deviation of PM2.5, DTTm (mass-normalized DTT activity) and DTTv (volume-normalized DTT activity) were 113.8 ± 62.7 μg·m-3, 0.13 ± 0.10 nmol·μg-1·min-1 and 12.26 ± 6.82 nmol·m-3·min-1, respectively. The seasonal averages of DTTm and DTTv exhibited peak values during the local summer. Organic carbon (OC), NO3-, SO42-, NH4+ and elemental carbon (EC) were the dominant components in the constituents tested. Higher concentrations of carbonaceous components occurred in autumn and winter compared with spring and summer. Based on the positive matrix factorization model (PMF), the simulation results of source apportionment for PM2.5 in Beijing, obtained using the annual data, identified the main categories as follows: dust, coal combustion, secondary sulfate and industrial emissions, vehicle emissions and secondary nitrates. Most detected constituents exhibited significantly positive correlations with DTTv (p < 0.01). The results corresponding to multiple linear regression (MLR) between DTTv activity and source contribution to PM2.5 manifested the sensitivity sequence of DTTv activity for the resolved sources as vehicle emissions > secondary sulfate and industrial emissions > coal combustion > dust. CAPSULE: Based on a descending sequence of relative contribution, the diagnostic sources of DTTv activity in PM2.5 from Beijing included primarily vehicle emissions, secondary sulfates and industrial emissions, coal combustion, and dust.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DTT activity; PM(2.5); PMF; Source apportionment

Year:  2018        PMID: 30199673     DOI: 10.1016/j.scitotenv.2018.09.021

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Atmospheric conditions and composition that influence PM2.5 oxidative potential in Beijing, China.

Authors:  Steven J Campbell; Kate Wolfer; Battist Utinger; Joe Westwood; Zhi-Hui Zhang; Nicolas Bukowiecki; Sarah S Steimer; Tuan V Vu; Jingsha Xu; Nicholas Straw; Steven Thomson; Atallah Elzein; Yele Sun; Di Liu; Linjie Li; Pingqing Fu; Alastair C Lewis; Roy M Harrison; William J Bloss; Miranda Loh; Mark R Miller; Zongbo Shi; Markus Kalberer
Journal:  Atmos Chem Phys       Date:  2021-04-12       Impact factor: 6.133

2.  How to choose healthier urban biking routes: CO as a proxy of traffic pollution.

Authors:  L Bertrand; L Dawkins; R Jayaratne; L Morawska
Journal:  Heliyon       Date:  2020-06-18

3.  Chemical Composition and Source Apportionment of PM2.5 in Urban Areas of Xiangtan, Central South China.

Authors:  Xiaoyao Ma; Zhenghui Xiao; Lizhi He; Zongbo Shi; Yunjiang Cao; Zhe Tian; Tuan Vu; Jisong Liu
Journal:  Int J Environ Res Public Health       Date:  2019-02-13       Impact factor: 3.390

4.  Dithiothreitol-Measured Oxidative Potential of Size-Segregated Particulate Matter in Fukuoka, Japan: Effects of Asian Dust Events.

Authors:  Chiharu Nishita-Hara; Motohiro Hirabayashi; Keiichiro Hara; Akihiro Yamazaki; Masahiko Hayashi
Journal:  Geohealth       Date:  2019-06-27

5.  The Relative Contributions of Different Chemical Components to the Oxidative Potential of Ambient Fine Particles in Nanjing Area.

Authors:  Xiaoyun Ma; Dongyang Nie; Mindong Chen; Pengxiang Ge; Zhengjiang Liu; Xinlei Ge; Zhirao Li; Rui Gu
Journal:  Int J Environ Res Public Health       Date:  2021-03-10       Impact factor: 3.390

  5 in total

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