A comparison of street canyon concentration predictions by different modellers: final results now available from the Podbi-exercise

Lohmeyer, Achim; Mueller, Will; Baechlin, W.

doi:10.1016/s1352-2310(01)00466-6

Cited by 17 publications

(5 citation statements)

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“…Uncertainties in model input data could cause predictions of air pollutant concentrations to by vary up to a factor of four for identical solutions (Lohmeyer et al, 2002). The most significant challenge is the consideration of the spatio-temporal distribution of GI and its characteristics, because each GI differs from others with respect to its location, LAI, porosity, species and geometries.…”

Section: Challenges In Considering Gi For Dispersion Modelling At Microscale and Macroscalementioning

confidence: 99%

Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models

Tiwari

Kumar

Baldauf

et al. 2019

Science of The Total Environment

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Section: Challenges In Considering Gi For Dispersion Modelling At Microscale and Macroscalementioning

confidence: 99%

Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models

Tiwari

Kumar

Baldauf

et al. 2019

Science of The Total Environment

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“…The model has undergone extensive validation (e.g. Schatzmann and Leitl, 2002;Lohmeyer et al, 2002b;Dixon et al, 2006;Goricsan et al, 2007;Eichhorn and Kniffka, 2007). Version 2.1.2 (with MISKAM 5.02) of WinMISKAM has been used in this study.…”

Section: Model Descriptionmentioning

confidence: 99%

Evaluation of results of a numerical simulation of dispersion in an idealised urban area for emergency response modelling

Donnelly

Lyons

Flassak

2009

Atmospheric Environment

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Donnelly, R.P. , Lyons, T.J. and Flassak, T. (2009) Evaluation of results of a numerical simulation of dispersion in an idealisedThis is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. M A N U S C R I P T A C C E P T E D ARTICLE IN PRESSEvaluation of results of a numerical simulation of dispersion in an idealised urban area for emergency response modelling. AbstractWinMISKAM is evaluated from an emergency response perspective. Comparisons are made between ground level concentrations observed during selected Mock Urban Setting Test (MUST) field trials and predictions generated by the model. The model was driven by 5 minute averaged on-site meteorological data, and used minimum grid spacing of 0.5 m in both the horizontal and vertical. The code was found to perform well, with 46% of all predictions (paired in time and space) and 83% of arc maxima predictions within a factor of two of observed concentrations. The model was found to perform better for neutral cases than stable cases with 27% of stable case predictions and 57% of neutral case predictions within a factor of two when compared in time and space.

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“…by Qin andKot (1993, 2003) and Vardoulakis et al (2003). The complexity involved in modeling the concentration of pollutants in a street canyon and the consequent discrepancies that arise when using different modeling approaches has been demonstrated in a comparison exercise involving 24 modelers from 21 different institutions using different models to predict the concentration of pollutants in a street canyon in Hannover, Germany (Lohmeyer et al, 2002). Not only were large differences in the results obtained by the participants using different models, but even by the participants using the same models!…”

Section: Particle Concentrations Around a Building Envelope: Verticalmentioning

confidence: 99%

Motor Vehicle Emissions as a Source of Indoor Particles

Morawska

2003

Indoor Environment

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A comparison of street canyon concentration predictions by different modellers: final results now available from the Podbi-exercise

Cited by 17 publications

References 0 publications

Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models

Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models

Evaluation of results of a numerical simulation of dispersion in an idealised urban area for emergency response modelling

Motor Vehicle Emissions as a Source of Indoor Particles

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