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Profiles and Source Apportionment of Nonmethane Volatile Organic Compounds in Winter and Summer in Xi'an, China, based on the Hybrid Environmental Receptor Model
Sun, Jian1; Shen, Zhenxing1; Zhang, Yue1; Dai, Wenting2; He, Kun1; Xu, Hongmei1; Zhang, Zhou3; Cui, Long2; Li, Xuxiang4; Huang, Yu2; Cao, Junji2
通讯作者Shen, Zhenxing(zxshen@mail.xjtu.edu.cn)
2021
发表期刊ADVANCES IN ATMOSPHERIC SCIENCES
ISSN0256-1530
卷号38期号:1页码:116-131
摘要Summer and winter campaigns for the chemical compositions and sources of nonmethane hydrocarbons (NMHCs) and oxygenated volatile organic compounds (OVOCs) were conducted in Xi'an. Data from 57 photochemical assessment monitoring stations for NMHCs and 20 OVOC species were analyzed. Significant seasonal differences were noted for total VOC (TVOC, NMHCs and OVOCs) concentrations and compositions. The campaign-average TVOC concentrations in winter (85.3 +/- 60.6 ppbv) were almost twice those in summer (47.2 +/- 31.6 ppbv). Alkanes and OVOCs were the most abundant category in winter and summer, respectively. NMHCs, but not OVOCs, had significantly higher levels on weekends than on weekdays. Total ozone formation potential was higher in summer than in winter (by 50%) because of the high concentrations of alkenes (particularly isoprene), high temperature, and high solar radiation levels in summer. The Hybrid Environmental Receptor Model (HERM) was used to conduct source apportionment for atmospheric TVOCs in winter and summer, with excellent accuracy. HERM demonstrated its suitability in a situation where only partial source profile data were available. The HERM results indicated significantly different seasonal source contributions to TVOCs in Xi'an. In particular, coal and biomass burning had contributions greater than half in winter (53.4%), whereas traffic sources were prevalent in summer (53.1%). This study's results highlight the need for targeted and adjustable VOC control measures that account for seasonal differences in Xi'an; such measures should target not only the severe problem with VOC pollution but also the problem of consequent secondary pollution (e.g., from ozone and secondary organic aerosols).
关键词NMHCs OVOCs source apportionment Hybrid Environmental Receptor Model
DOI10.1007/s00376-020-0153-0
关键词[WOS]YANGTZE-RIVER DELTA ; COMPOUNDS VOCS ; OZONE POLLUTION ; SEASONAL-VARIATIONS ; INDUSTRIAL-AREA ; SEMIURBAN AREA ; AMBIENT VOCS ; EMISSIONS ; AEROSOL ; SITE
收录类别SCI ; SCI
语种英语
资助项目Natural Science Foundation of China[41907188] ; Natural Science Foundation of Shaanxi Province, China[2019JQ-386] ; China Postdoctoral Science Foundation[2019M653658]
WOS研究方向Meteorology & Atmospheric Sciences
项目资助者Natural Science Foundation of China ; Natural Science Foundation of Shaanxi Province, China ; China Postdoctoral Science Foundation
WOS类目Meteorology & Atmospheric Sciences
WOS记录号WOS:000601552100009
出版者SCIENCE PRESS
引用统计
被引频次:10[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ieecas.cn/handle/361006/15812
专题粉尘与环境研究室
通讯作者Shen, Zhenxing
作者单位1.Xi An Jiao Tong Univ, Dept Environm Sci & Engn, Xian 710049, Peoples R China
2.Chinese Acad Sci, Inst Earth Environm, Key Lab Aerosol Chem & Phys, Xian 710049, Peoples R China
3.Chinese Acad Sci, Changsha Ctr Mineral Resources Explorat, Guangzhou Inst Geochem, Changsha 410645, Peoples R China
4.Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian 710049, Peoples R China
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Sun, Jian,Shen, Zhenxing,Zhang, Yue,et al. Profiles and Source Apportionment of Nonmethane Volatile Organic Compounds in Winter and Summer in Xi'an, China, based on the Hybrid Environmental Receptor Model[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2021,38(1):116-131.
APA Sun, Jian.,Shen, Zhenxing.,Zhang, Yue.,Dai, Wenting.,He, Kun.,...&Cao, Junji.(2021).Profiles and Source Apportionment of Nonmethane Volatile Organic Compounds in Winter and Summer in Xi'an, China, based on the Hybrid Environmental Receptor Model.ADVANCES IN ATMOSPHERIC SCIENCES,38(1),116-131.
MLA Sun, Jian,et al."Profiles and Source Apportionment of Nonmethane Volatile Organic Compounds in Winter and Summer in Xi'an, China, based on the Hybrid Environmental Receptor Model".ADVANCES IN ATMOSPHERIC SCIENCES 38.1(2021):116-131.
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