Literature DB >> 26789368

A methodology for calculating transport emissions in cities with limited traffic data: Case study of diesel particulates and black carbon emissions in Murmansk.

N Kholod1, M Evans2, E Gusev3, S Yu2, V Malyshev3, S Tretyakova4, A Barinov3.   

Abstract

This paper presents a methodology for calculating exhaust emissions from on-road transport in cities with low-quality traffic data and outdated vehicle registries. The methodology consists of data collection approaches and emission calculation methods. For data collection, the paper suggests using video survey and parking lot survey methods developed for the International Vehicular Emissions model. Additional sources of information include data from the largest transportation companies, vehicle inspection stations, and official vehicle registries. The paper suggests using the European Computer Programme to Calculate Emissions from Road Transport (COPERT) 4 model to calculate emissions, especially in countries that implemented European emissions standards. If available, the local emission factors should be used instead of the default COPERT emission factors. The paper also suggests additional steps in the methodology to calculate emissions only from diesel vehicles. We applied this methodology to calculate black carbon emissions from diesel on-road vehicles in Murmansk, Russia. The results from Murmansk show that diesel vehicles emitted 11.7 tons of black carbon in 2014. The main factors determining the level of emissions are the structure of the vehicle fleet and the level of vehicle emission controls. Vehicles without controls emit about 55% of black carbon emissions.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Black carbon; Diesel; Emission inventory; Russia; Transport

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Year:  2016        PMID: 26789368     DOI: 10.1016/j.scitotenv.2015.12.151

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


  1 in total

1.  SGA: spatial GIS-based genetic algorithm for route optimization of municipal solid waste collection.

Authors:  Louati Amal; Le Hoang Son; Habib Chabchoub
Journal:  Environ Sci Pollut Res Int       Date:  2018-07-27       Impact factor: 4.223

  1 in total

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