Comparison of measured and calculated motorway emission data

Vogel, Bernhard; Corsmeier, U.; Vogel, H.; Fiedler, F.; Kühlwein, J.; Friedrich, Rainer; Obermeier, Andreas; Weppner, J.; Kalthoff, Norbert; Bäumer, D.; Bitzer, A.; Jay, K.

doi:10.1016/s1352-2310(99)00422-7

Cited by 35 publications

(8 citation statements)

References 8 publications

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“…The motorway induced turbulences and chemical transformations at the measurement site which had been examined by Vogel et al (2000) and Bäumer (2003) with the mesoscale chemistry transport model system KAMM/ DRAIS. A NO 2 concentration field generated with this model (D. Bäumer, personal communication) was used for numerical experiments in this study and will, in the following, just be referred to as CTM BAB II plume (see Fig.…”

Section: Doas Tomography Measurements At a Motorwaymentioning

confidence: 99%

Longpath DOAS tomography on a motorway exhaust gas plume: numerical studies and application to data from the BAB II campaign

et al. 2004

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Abstract. This paper presents a procedure for performing and optimizing inversions for DOAS tomography and its application to measurement data. DOAS tomography is a new technique to determine 2-and 3-dimensional concentration fields of air pollutants or other trace gases by combining differential optical absorption spectroscopy (DOAS) with tomographic inversion techniques. Due to the limited amount of measured data, the resulting concentration fields are sensitive to the inversion process. Therefore detailed error estimations are needed to determine the quality of the reconstruction. In this paper we compare different row acting methods for the inversion, present a procedure for optimizing the parameters of the reconstruction process and propose a way to estimate the error-fields by numerical studies. The procedure was applied to data from the motorway emission campaign BAB II. Two dimensional NO 2 cross sections at right angles to the motorway could be reconstructed qualitatively well at different meteorological situations. Additionally we present error fields for the reconstructions which show the problems and skills of the used measurement setup. Numerical studies on an improved setup for future motorway campaigns show, that DOAS tomography is able to produce high quality concentration maps.

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Section: Doas Tomography Measurements At a Motorwaymentioning

confidence: 99%

Longpath DOAS tomography on a motorway exhaust gas plume: numerical studies and application to data from the BAB II campaign

et al. 2004

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“…Given the results of this work, it seems valuable to examine the relationships between prediction errors and level of congestion for other air pollutants (e.g. PM 10 , speciated hydrocarbons and greenhouse gas emissions).…”

Section: Discussionmentioning

confidence: 99%

“…[5][6][7][8][9]), near-road air quality monitoring (e.g. [10][11][12][13][14]) and remote-sensing studies (e.g. [15][16][17][18]).…”

Section: Introductionmentioning

confidence: 99%

Errors in model predictions of NO_xtraffic emissions at road level – impacts of input data quality

Smit¹

2008

WIT Transactions on Ecology and the Environment

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This study investigates the effects of three important input variables on the prediction accuracy of average speed emission models. These variables are average speed, basic traffic composition (proportion of heavy-duty vehicles) and model choice (COPERT, QGEPA). Sensitivity analysis (conditional NRSA) is used to determine to what extent the possible range in these input variables influences model outcomes (i.e. NO x emissions for road links), and hence accuracy. It is shown that maximum errors can be large (up to a factor of about 3.5). Moreover, they are a function of the level of congestion with errors generally increasing with the level of congestion. Traffic composition is shown to most strongly affect NO x emissions (29-241%), followed by average speed (2-168%) and model choice (0-177%). The results were similar for arterial roads and freeways. These results can be used to provide direction to the collection of model input data, further model development and model application. The external errors found in this study appear to be of the same order of magnitude as internal errors that have been reported from (partial) road validation studies. This implies that in terms of further improvements of traffic emission modeling, focus should be on both the quality of input data (application) and the quality of the actual emission models (model development). Given the relevance of these results, it would be worthwhile to extend and refine this work by including other air pollutant and greenhouse gas emissions, and to use more complex traffic and emission models.

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“…In another 20-day remote sensing experiment, Vogel et al [10] carried out a study on a stretch of German motorway to determine real-life emissions and compare those to data calculated from pollution models. VOC (Volatile Organic Compound) measurements were done by GC-MS at 55-minute intervals while NO, NO x , CO and O 3 were averaged over 10 minutes.…”

Section: Remote Sensingmentioning

confidence: 99%

“…This is especially true for CO and HC but less so for NO x [10,11]. Vogel et al [10] found that CO emission factors were increased by a factor of two in real life. De Vlieger's [11] results…”

Section: Introductionmentioning

confidence: 97%

Application of a Portable FTIR for Measuring On-road Emissions

Daham¹,

Andrews²,

Li³

et al. 2005

SAE Technical Paper Series

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Comparison of measured and calculated motorway emission data

Cited by 35 publications

References 8 publications

Longpath DOAS tomography on a motorway exhaust gas plume: numerical studies and application to data from the BAB II campaign

Longpath DOAS tomography on a motorway exhaust gas plume: numerical studies and application to data from the BAB II campaign

Errors in model predictions of NO_xtraffic emissions at road level – impacts of input data quality

Application of a Portable FTIR for Measuring On-road Emissions

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Comparison of measured and calculated motorway emission data

Cited by 35 publications

References 8 publications

Longpath DOAS tomography on a motorway exhaust gas plume: numerical studies and application to data from the BAB II campaign

Longpath DOAS tomography on a motorway exhaust gas plume: numerical studies and application to data from the BAB II campaign

Errors in model predictions of NOxtraffic emissions at road level – impacts of input data quality

Application of a Portable FTIR for Measuring On-road Emissions

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Product

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Errors in model predictions of NO_xtraffic emissions at road level – impacts of input data quality