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

被引:34
作者
Kholod, N. [1 ]
Evans, M. [1 ]
Gusev, E. [2 ]
Yu, S. [1 ]
Malyshev, V. [2 ]
Tretyakova, S. [3 ]
Barinov, A. [2 ]
机构
[1] Pacific NW Natl Lab, Joint Global Change Res Inst, 5825 Univ Res Court,Suite 3500, College Pk, MD 20740 USA
[2] Murmansk State Tech Univ, Dept Energy & Transport, Murmansk, Russia
[3] Murmansk State Tech Univ, Dept Environm, Murmansk, Russia
关键词
Emission inventory; Transport; Diesel; Russia; Black carbon; ROAD TRANSPORT;
D O I
10.1016/j.scitotenv.2015.12.151
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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a methodology for calculating exhaust emissions from on-road transport in cities with low-quality traffic data and outdated vehicle registries.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. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:305 / 313
页数:9
相关论文
共 36 条
[1]  
Agyemang-Bonsu K., 2010, AM J SCI IND RES, V1, P32
[2]  
[Anonymous], 2013, EMISSION INVENTORY G
[3]  
[Anonymous], 2015, Sources of greenhouse gas emissions
[4]  
[Anonymous], CALC INSTR METH EM I
[5]  
[Anonymous], 2015, GLOB GREENH GAS EM D
[6]  
Avtostat, 2010, AV MIL CARS RUSS 16
[7]  
Avtostat, 2013, PARK PC LCV HCV BUS
[8]   Bounding the role of black carbon in the climate system: A scientific assessment [J].
Bond, T. C. ;
Doherty, S. J. ;
Fahey, D. W. ;
Forster, P. M. ;
Berntsen, T. ;
DeAngelo, B. J. ;
Flanner, M. G. ;
Ghan, S. ;
Kaercher, B. ;
Koch, D. ;
Kinne, S. ;
Kondo, Y. ;
Quinn, P. K. ;
Sarofim, M. C. ;
Schultz, M. G. ;
Schulz, M. ;
Venkataraman, C. ;
Zhang, H. ;
Zhang, S. ;
Bellouin, N. ;
Guttikunda, S. K. ;
Hopke, P. K. ;
Jacobson, M. Z. ;
Kaiser, J. W. ;
Klimont, Z. ;
Lohmann, U. ;
Schwarz, J. P. ;
Shindell, D. ;
Storelvmo, T. ;
Warren, S. G. ;
Zender, C. S. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (11) :5380-5552
[9]   A technology-based global inventory of black and organic carbon emissions from combustion [J].
Bond, TC ;
Streets, DG ;
Yarber, KF ;
Nelson, SM ;
Woo, JH ;
Klimont, Z .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2004, 109 (D14) :D14203
[10]   Comparison of road traffic emission models in Madrid (Spain) [J].
Borge, Rafael ;
de Miguel, Isabel ;
de la Paz, David ;
Lumbreras, Julio ;
Perez, Javier ;
Rodriguez, Encarnacion .
ATMOSPHERIC ENVIRONMENT, 2012, 62 :461-471