Literature DB >> 24810889

PM₂.₅ emissions from light-duty gasoline vehicles in Beijing, China.

Xianbao Shen1, Zhiliang Yao2, Hong Huo3, Kebin He4, Yingzhi Zhang1, Huan Liu5, Yu Ye2.   

Abstract

As stricter standards for diesel vehicles are implemented in China, and the use of diesel trucks is forbidden in urban areas, determining the contribution of light-duty gasoline vehicles (LDGVs) to on-road PM2.5 emissions in cities is important. Additionally, in terms of particle number and size, particulates emitted from LDGVs have a greater health impact than particulates emitted from diesel vehicles. In this work, we measured PM2.5 emissions from 20 LDGVs in Beijing, using an improved combined on-board emission measurement system. We compared these measurements with those reported in previous studies, and estimated the contribution of LDGVs to on-road PM2.5 emissions in Beijing. The results show that the PM2.5 emission factors for LDGVs, complying with European Emission Standards Euro-0 through Euro-4 were: 117.4 ± 142, 24.1 ± 20.4, 4.85 ± 7.86, 0.99 ± 1.32, 0.17 ± 0.15 mg/km, respectively. Our results show a significant decline in emissions with improving vehicle technology. However, this trend is not reflected in recent emission inventory studies. The daytime contributions of LDGVs to PM2.5 emissions on highways, arterials, residential roads, and within urban areas of Beijing were 44%, 62%, 57%, and 57%, respectively. The contribution of LDGVs to PM2.5 emissions varied both for different road types and for different times.
Copyright © 2014 Elsevier B.V. All rights reserved.

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Keywords:  Beijing; Emission; Gasoline vehicles; PM(2.5)

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Year:  2014        PMID: 24810889     DOI: 10.1016/j.scitotenv.2014.04.059

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  PM2.5 emissions from different types of heavy-duty truck: a case study and meta-analysis of the Beijing-Tianjin-Hebei region.

Authors:  Liying Song; Hongqing Song; Jingyi Lin; Cheng Wang; Mingxu Yu; Xiaoxia Huang; Yu Guan; Xing Wang; Li Du
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-14       Impact factor: 4.223

2.  Oil Price Uncertainty, Transport Fuel Demand and Public Health.

Authors:  Ling-Yun He; Sheng Yang; Dongfeng Chang
Journal:  Int J Environ Res Public Health       Date:  2017-03-01       Impact factor: 3.390

  2 in total

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