Literature DB >> 33254659

On-road vehicle emission inventory and its spatio-temporal variations in North China Plain.

Peiyu Jiang1, Xi Zhong2, Lingyu Li3.   

Abstract

Vehicle emissions are a major contributor to air pollution in China. In this study, a high-resolution inventory of eight on-road vehicle-emitted pollutants in 53 cities within the North China Plain (NCP) was established for 152 sub-sources. Monthly emission factors were then simulated using the COPERT v5 model and their spatial distribution at 4 km × 4 km resolution was allocated based on the transportation network. In 2017, emissions of BC, CO, NH3, NMVOCs, NOx, PM10, PM2.5, and SO2 were 38.3, 2900, 21.8, 578, 2460, 113, 85.9, and 4.7 kt, respectively. These emissions and their sources differed between cities, mainly due to different vehicle populations, fleet compositions, emission share rates of different vehicle types, and emission standards in each city. Small-medium petrol passenger cars and both 20-26 t and 40-50 t heavy-duty diesel trucks of China 3 and 4 emissions standards were the main contributors for all pollutants. Higher cold-start emission factors caused higher emissions of CO, NMVOCs, NOx, and PM2.5 in winter. The cities of Beijing, Zhengzhou, Tianjin, Tangshan, Xuzhou, Qingdao, Jinan, Jining, and Zibo had the highest emission intensities. Overall, emissions decreased from the city centers toward surrounding areas. The higher contributions of heavy-duty trucks meant that higher emissions appeared along highways in a vein-like distribution. These results provide a theoretical basis for the effective prevention and control of air pollution in the NCP.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Air pollutants; COPERT; Mobile source; North China; Vehicular emissions

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Year:  2020        PMID: 33254659     DOI: 10.1016/j.envpol.2020.115639

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  4 in total

1.  Characteristics of PM2.5 in an Industrial City of Northern China: Mass Concentrations, Chemical Composition, Source Apportionment, and Health Risk Assessment.

Authors:  Wenyu Bai; Xueyan Zhao; Baohui Yin; Liyao Guo; Wenge Zhang; Xinhua Wang; Wen Yang
Journal:  Int J Environ Res Public Health       Date:  2022-04-29       Impact factor: 4.614

2.  A Comprehensive 2018-Based Vehicle Emission Inventory and Its Spatial-Temporal Characteristics in the Central Liaoning Urban Agglomeration, China.

Authors:  Yingying Liu; Xueyan Zhao; Jing Wang; Shengnan Zhu; Bin Han; Di Zhao; Xinhua Wang; Chunmei Geng
Journal:  Int J Environ Res Public Health       Date:  2022-02-11       Impact factor: 3.390

3.  Spatio-Temporal Characteristics of SO2 across Weifang from 2008 to 2020.

Authors:  Lining Zhu; Yu Zhang; Zheng Wu; Chengcheng Zhang
Journal:  Int J Environ Res Public Health       Date:  2021-11-20       Impact factor: 3.390

4.  Potential long-term effects of Covid-19 on telecommuting and environment: An Italian case-study.

Authors:  Riccardo Ceccato; Andrea Baldassa; Riccardo Rossi; Massimiliano Gastaldi
Journal:  Transp Res D Transp Environ       Date:  2022-07-21       Impact factor: 7.041

  4 in total

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