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Multiscale spatiotemporal variations of NOx emissions from heavy duty diesel trucks in the Beijing-Tianjin-Hebei region

文献类型：期刊论文

作者Cheng, Shifen1,2; Zhang, Beibei1,2; Zhao, Yibo1,2; Peng, Peng1,2; Lu, Feng1,2
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2023
卷号854页码:11
关键词Multiscale effect Heavy-duty diesel trucks Traff ic emissions Spatiotemporal patterns
ISSN号0048-9697
DOI10.1016/j.scitotenv.2022.158753
通讯作者Lu, Feng(luf@lreis.ac.cn)
英文摘要Heavy-duty diesel trucks (HDDTs) cause serious pollution to urban and regional environment. Understanding the spa-tiotemporal pattern of pollution emissions and its impact factors is the basis for implementing emission reduction mea-sures. However, since the multiscale emission inventory of HDDTs is not currently established, multiscale analysis of these issues is still lacking. Therefore, this study uses massive trajectory data, detailed vehicle specification information and road network information, combined with localized emission factors, to construct a multiscale NOx emission in-ventory of HDDTs with high spatiotemporal resolution in the Beijing-Tianjin-Hebei region. Then the multiscale spatio-temporal variations of NOx emissions are analyzed by using spatial statistical indicators and multiscale geographical weighted regression model. The results show that the NOx emissions of HDDTs show different spatiotemporal distribu-tion and aggregation characteristics at different scales. Specifically, link-scale emissions are concentrated to a few high-ways and are dominated by Low-Low cluster. While county-scale and city-scale emissions are concentrated in the eastern plains, mainly in High-High and Low-Low clusters. There are spatial heterogeneity and multiscale effects of so-cioeconomic and road attribute characteristics on the NOx emissions from HDDTs. Population density, urbanization rate, proportion of second industry, and proportion of highway affect the NOx emissions of HDDTs globally, while per capita GDP and road density have local effects. Our results extend the scientific understanding of the multiscale spatiotemporal variations of HDDTs and may provide a scientific basis for the development of targeted emission con-trol measures for HDDTs.
WOS关键词GEOGRAPHICALLY WEIGHTED REGRESSION ; TRAFFIC EMISSIONS ; VEHICLE EMISSIONS ; AIR-POLLUTANTS ; INVENTORY ; CHINA ; PATTERNS ; IMPACT ; SCALE
资助项目National Natural Science Founda-tion of China ; Strategic Priority Research Pro-gram of the Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; [42101423] ; [XDA23010202] ; [2020M680655] ; [2021T140656]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000867707800006
出版者ELSEVIER
资助机构National Natural Science Founda-tion of China ; Strategic Priority Research Pro-gram of the Chinese Academy of Sciences ; China Postdoctoral Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/185901]  
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, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Cheng, Shifen,Zhang, Beibei,Zhao, Yibo,et al. Multiscale spatiotemporal variations of NOx emissions from heavy duty diesel trucks in the Beijing-Tianjin-Hebei region[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2023,854:11.
APA Cheng, Shifen,Zhang, Beibei,Zhao, Yibo,Peng, Peng,&Lu, Feng.(2023).Multiscale spatiotemporal variations of NOx emissions from heavy duty diesel trucks in the Beijing-Tianjin-Hebei region.SCIENCE OF THE TOTAL ENVIRONMENT,854,11.
MLA Cheng, Shifen,et al."Multiscale spatiotemporal variations of NOx emissions from heavy duty diesel trucks in the Beijing-Tianjin-Hebei region".SCIENCE OF THE TOTAL ENVIRONMENT 854(2023):11.

入库方式： OAI收割

来源：地理科学与资源研究所

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