Literature DB >> 28511360

Refined 2013-based vehicle emission inventory and its spatial and temporal characteristics in Zhengzhou, China.

Mimi Gong1, Shasha Yin2, Xingke Gu1, Yuanqian Xu1, Nan Jiang1, Ruiqin Zhang1.   

Abstract

Vehicle emission is becoming one of the most important pollution sources because of the increase in vehicle population and activity in China. A more reasonable and complete vehicle emission inventory in Zhengzhou for the year 2013 was developed in this study. This inventory is suitable for local emission factors and vehicle kilometers of travel. Estimates show that the total carbon monoxide (CO), hydrocarbon (HC), nitrogen oxide (NOX), particulate matter (PM2.5 and PM10) and sulfur dioxide (SO2) emissions were 291Gg, 35Gg, 106Gg, 6Gg, 7Gg, and 3Gg, respectively. Approximately 55% of CO and HC emissions were from light duty gasoline vehicles and normal gasoline motorcycles, whereas approximately 60% of NOX, PM2.5, PM10 and SO2 were from heavy duty diesel vehicles, heavy duty diesel trucks, and medium duty diesel trucks. The spatial distribution of emissions was allocated in grid cells based on a road network and traffic flows with a resolution of 1km×1km at different road types and locations, which shows that the six aforementioned air pollutants have similar characteristics in administrative districts. Emissions are mainly concentrated on the central grid cells of each part and in good agreement with line sources. The spatial characteristics were compared at a resolution of 3km×3km and in a population-based approach. The network approach yields better level estimates in this study. Meanwhile, the preliminary temporal profiles were also established for on-road mobile source.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Air quality; Diagnosis; Grid-based; Spatial distribution; Traffic emission

Year:  2017        PMID: 28511360     DOI: 10.1016/j.scitotenv.2017.03.299

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


  3 in total

1.  Spatial Characteristics and Factor Analysis of Pollution Emission from Heavy-Duty Diesel Trucks in the Beijing-Tianjin-Hebei Region, China.

Authors:  Beibei Zhang; Sheng Wu; Shifen Cheng; Feng Lu; And Peng Peng
Journal:  Int J Environ Res Public Health       Date:  2019-12-06       Impact factor: 3.390

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.  Short-Term Trend Forecast of Different Traffic Pollutants in Minnesota Based on Spot Velocity Conversion.

Authors:  Xiaojian Hu; Dan Xu; Qian Wan
Journal:  Int J Environ Res Public Health       Date:  2018-09-04       Impact factor: 3.390

  3 in total

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