中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Benzene and Toluene Levels Measured with DOAS During Vehicular Restrictions in Beijing

文献类型:期刊论文

刊名CHINESE JOURNAL OF CHEMICAL PHYSICS
出版日期2015
卷号28
关键词AROMATIC-HYDROCARBONS EMISSIONS POLLUTION CHEMISTRY SYSTEM IMPACT CHINA AREA Differential optical absorption spectroscopy Benzene and toluene Vehicular restrictions Traffic emissions Traffic flows
ISSN号1674-0068
其他题名Benzene and Toluene Levels Measured with DOAS During Vehicular Restrictions in Beijing
英文摘要Measurements of atmospheric benzene and toluene were carried out continuously using differential optical absorption spectroscopy from August 7 to August 28 in Beijing during the period of vehicular restrictions. The correlations between traffic flows and totals of benzene and toluene were studied during the period of vehicular traffic restrictions from August 17 to August 20 and non-traffic restrictions on August 16 and August 21. The correlation coefficient was 0.8 between benzene and toluene. And the calculated daily mean value ratios of benzene to toluene were 0.43-0.50. During the period of vehicular restrictions, traffic flows were reduced about 11.8% and the levels of benzene and toluene were reduced by 11.4% and 12.8%, respectively. The vehicle emissions were recognized as the major sources for atmospheric benzene and toluene in Beijing.
资助项目[National Natural Science Foundation of China] ; [Research Foundation of Education Bureau of Anhui Province, China]
语种英语
CSCD记录号CSCD:5366211
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/69483]  
专题中国科学院合肥物质科学研究院
推荐引用方式
GB/T 7714
. Benzene and Toluene Levels Measured with DOAS During Vehicular Restrictions in Beijing[J]. CHINESE JOURNAL OF CHEMICAL PHYSICS,2015,28.
APA (2015).Benzene and Toluene Levels Measured with DOAS During Vehicular Restrictions in Beijing.CHINESE JOURNAL OF CHEMICAL PHYSICS,28.
MLA "Benzene and Toluene Levels Measured with DOAS During Vehicular Restrictions in Beijing".CHINESE JOURNAL OF CHEMICAL PHYSICS 28(2015).

入库方式: OAI收割

来源:合肥物质科学研究院

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