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Emission characteristics and control scenario analysis of VOCs from heavy-duty diesel trucks

文献类型：期刊论文

作者Cheng, Shifen1,2; Lu, Feng1,2,3,4; Peng, Peng1,2; Zheng, Ji5
刊名JOURNAL OF ENVIRONMENTAL MANAGEMENT
出版日期2021-09-01
卷号293页码:14
ISSN号0301-4797
关键词Volatile organic compound emission Scenario analysis Heavy-duty diesel truck Spatiotemporal pattern
DOI10.1016/j.jenvman.2021.112915
通讯作者Lu, Feng(luf@lreis.ac.cn)
英文摘要Vehicle exhaust substantially contributes to ambient volatile organic compounds (VOCs) that imperil environmental and human health. The quantitative characterization of VOCs derived from heavy-duty diesel trucks (HDDTs) at a high spatiotemporal resolution is an important prerequisite of atmospheric quality management. However, there is little knowledge about VOC emission characteristics and accurate control policies of HDDTs owing to limited fine-grained traffic activity data. To fill this gap, this research aims to construct a link-level and hourly-based VOC emission inventory of HDDTs by combining fine-grained trajectory data, detailed vehicle specification information, localized emission factors, and underlying geographic information. The emission reduction potentials of different emission control scenarios were also evaluated. The research was conducted in Hebei Province, a predominant heavy industrial province in China. The results demonstrated that HDDTs with China 3 and below emission standards contributed to 74.85% of the HDDT generated VOC emissions, although they only accounted for 25.43% of the HDDTs operating on the road networks. The VOC emission characteristics of HDDTs were further explored at various temporal and spatial scales. Temporally, the difference between the maximum and minimum hourly VOC emissions reached 29.19%, and daily emission changes were considerably affected by holidays. Spatially, road segments with higher emission intensities and statistically significant emission hot spots were primarily distributed in intercity highways and national freeways, reflecting the contribution of high freight activity to the VOC emissions. Emission control scenario simulations demonstrated that improving HDDT emission standards can reduce VOC emissions by up to 80.06%. The results of this study contribute to a deeper understanding of the spatiotemporal patterns of VOC emissions from HDDTs and the effectiveness of emission reduction measures.
WOS关键词VOLATILE ORGANIC-COMPOUNDS ; ON-ROAD VEHICLES ; MODELING SPATIAL-PATTERNS ; RIVER DELTA REGION ; HEBEI BTH REGION ; VEHICULAR EMISSION ; OZONE FORMATION ; AIR-POLLUTION ; GASOLINE VEHICLES ; PM2.5 EMISSIONS
资助项目Strategic Priority Research Pro-gram of the Chinese Academy of Sciences[XDA23100501] ; Strategic Priority Research Pro-gram of the Chinese Academy of Sciences[XDA23010202] ; China Postdoctoral Science Foundation[2020M680655]
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
WOS记录号WOS:000677855200005
资助机构Strategic Priority Research Pro-gram of the Chinese Academy of Sciences ; China Postdoctoral Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/164815]  
专题中国科学院地理科学与资源研究所
通讯作者Lu, Feng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Fuzhou Univ, Acad Digital China, Fuzhou, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
5.Univ Hong Kong, Dept Urban Planning & Design, Pokfulam, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714		 Cheng, Shifen,Lu, Feng,Peng, Peng,et al. Emission characteristics and control scenario analysis of VOCs from heavy-duty diesel trucks[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2021,293:14.
APA Cheng, Shifen,Lu, Feng,Peng, Peng,&Zheng, Ji.(2021).Emission characteristics and control scenario analysis of VOCs from heavy-duty diesel trucks.JOURNAL OF ENVIRONMENTAL MANAGEMENT,293,14.
MLA Cheng, Shifen,et al."Emission characteristics and control scenario analysis of VOCs from heavy-duty diesel trucks".JOURNAL OF ENVIRONMENTAL MANAGEMENT 293(2021):14.

入库方式： OAI收割

来源：地理科学与资源研究所

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