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题名

Levels, spatial distribution, and source identification of airborne environmentally persistent free radicals from tree leaves

作者
通讯作者Zhang,Zuotai
发表日期
2019
DOI
发表期刊
ISSN
0269-7491
EISSN
1873-6424
卷号257
摘要
Environmentally persistent free radicals (EPFRs) are receiving increasing concern due to their toxicity and ubiquity in the environment. To avoid restrictions imposed when using a high-volume active sampler, this study uses tree leaves to act as passive samplers to investigate the spatial distribution characteristics and sources of airborne EPFRs. Tree leaf samples were collected from 120 sites in five areas around China (each approximately 4 km × 4 km). EPFR concentrations in particles (<2 μm) on the surface of 110 leaf samples were detected, ranging from 7.5 × 10 to 4.5 × 10 spins/g. For the 10 N.D. samples, they were all collected from areas inaccessible by vehicles. The g-values of EPFRs on 68% leaf samples were larger than 2.004, suggesting the electron localized on the oxygen atom, and they were consistent with the road dust sample (g-value: 2.0042). Significant positive correlation was found between concentrations of elemental carbon (tracer of vehicle emissions) and EPFRs. Spatial distribution mapping showed that EPFR levels in various land uses differed noticeably. Although previous work has linked atmospheric EPFRs to waste incineration, the evidence in this study suggests that vehicle emissions, especially from heavy-duty vehicles, are the main sources. While waste incinerators with low emissions or effective dust-control devices might not be an important EPFR contributor. According to our estimation, over 90% of the EPFRs deposited on tree leaves might be attributed to automotive exhaust emissions, as a synergistic effect of primary exhausts and degradation of aromatic compounds in road dust. With adding the trapping agent into the particle samples (<2 μm), signals of hydroxyl radicals were observed. This indicates that EPFRs collected from this phytosampling method can lead to the release of reactive oxygen species (ROS) once they are inhaled by human beings. Thus, this study helps highlight EPFR “hotspots” for potential health risk identification. The spatial distribution mapping shows that the airborne EPFR levels in high traffic-volume areas are higher and vehicle emissions are identified as the dominant contributor of airborne EPFRs.
关键词
相关链接[Scopus记录]
收录类别
SCI ; EI
语种
英语
学校署名
第一 ; 通讯
资助项目
Science, Technology and Innovation Commission of Shenzhen Municipality[] ; National Natural Science Foundation of China[51772141]
WOS研究方向
Environmental Sciences & Ecology
WOS类目
Environmental Sciences
WOS记录号
WOS:000514746800009
出版者
EI入藏号
20194507634859
EI主题词
Forestry ; Free radicals ; Health risks ; Land use ; Oxygen ; Roads and streets ; Solid wastes ; Vehicles ; Waste incineration
EI分类号
Urban and Regional Planning and Development:403 ; Roads and Streets:406.2 ; Industrial Wastes Treatment and Disposal:452.4 ; Health Care:461.7 ; Chemical Products Generally:804 ; Mathematics:921
ESI学科分类
ENVIRONMENT/ECOLOGY
Scopus记录号
2-s2.0-85074411294
来源库
Scopus
引用统计
被引频次[WOS]:17
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/43994
专题工学院_环境科学与工程学院
作者单位
1.School of Environmental Science and Engineering and Key Laboratory of Municipal Solid Waste Recycling Technology and Management of Shenzhen CitySouthern University of Science and Technology,Shenzhen,518055,China
2.State Key Laboratory of Environmental and Biological AnalysisDepartment of ChemistryHong Kong Baptist University,China
第一作者单位环境科学与工程学院
通讯作者单位环境科学与工程学院
第一作者的第一单位环境科学与工程学院
推荐引用方式
GB/T 7714
Wang,Chen,Huang,Yanpeng,Zhang,Zuotai,et al. Levels, spatial distribution, and source identification of airborne environmentally persistent free radicals from tree leaves[J]. ENVIRONMENTAL POLLUTION,2019,257.
APA
Wang,Chen,Huang,Yanpeng,Zhang,Zuotai,&Cai,Zongwei.(2019).Levels, spatial distribution, and source identification of airborne environmentally persistent free radicals from tree leaves.ENVIRONMENTAL POLLUTION,257.
MLA
Wang,Chen,et al."Levels, spatial distribution, and source identification of airborne environmentally persistent free radicals from tree leaves".ENVIRONMENTAL POLLUTION 257(2019).
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Wang-2020-Levels, sp(1665KB)----限制开放--
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