The impact of diesel vehicles on NOx and PM10 emissions from road transport in urban morphological zones: A case study in North Rhine-Westphalia, Germany

Janos Lucian Breuer; Remzi Can Samsun; Ralf Peters; Detlef Stolten

doi:10.1016/j.scitotenv.2020.138583

The impact of diesel vehicles on NO_x and PM10 emissions from road transport in urban morphological zones: A case study in North Rhine-Westphalia, Germany

Sci Total Environ. 2020 Jul 20:727:138583. doi: 10.1016/j.scitotenv.2020.138583. Epub 2020 Apr 12.

Authors

Janos Lucian Breuer¹, Remzi Can Samsun², Ralf Peters², Detlef Stolten³

Affiliations

¹ Electrochemical Process Engineering (IEK-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany. Electronic address: ja.breuer@fz-juelich.de.
² Electrochemical Process Engineering (IEK-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.
³ Electrochemical Process Engineering (IEK-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; JARA-ENERGY, 52056 Aachen, Germany; Chair for Fuel Cells, RWTH Aachen University, 52072, Aachen, Germany.

PMID: 32330716
DOI: 10.1016/j.scitotenv.2020.138583

Abstract

Harmful emissions like nitrogen oxide and particulate matter are one of the big challenges facing modern society. These emissions are especially apparent in agglomerations. Possible solutions to overcome this challenge within the framework of the transformation of the transport sector are the change of the transport vehicles of freight and passenger transport or changing the fuel of the vehicles. Determining the viability of both approaches requires analyses to determine which vehicles are the main polluters in urban areas. This study outlines a bottom-up approach for the calculation of road transport emissions on street level in the representative model region of North Rhine-Westphalia in Germany, considering eight different vehicle classes as well as diesel and gasoline as fuel. Part of the approach is the development of a street-section traffic volume map considering all streets in the model region using a developed multivariate linear regression model for Germany and existing traffic counts. Using the approach developed here, the urban areas of Herne, Oberhausen and Bochum were identified as hotspots with the highest specific nitrogen oxide emissions, while the urban areas of Herne, Oberhausen and Gelsenkirchen were identified as hotspots with the highest specific particulate matter emissions. A detailed investigation of Oberhausen as a representative emission hotspot showed that 91% of road transport nitrogen oxide emissions are produced by vehicles that use diesel fuel and 9% from vehicles with gasoline fuel, while gasoline vehicles account for 43% of the total distance driven and diesel vehicles for 57%. With respect to particulate matter emissions in the urban area of Oberhausen, 29% are produced by gasoline vehicles and 71% by diesel vehicles. However, only 22% of particulate matter emissions are exhaust emissions, while 78% are produced due to the abrasion of tires, brakes and the road.

Keywords: Air pollution; HBEFA; Mapping; Spatial; Traffic emissions; Transport.