2010
DOI: 10.1016/j.atmosenv.2010.05.007
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Urban tracer dispersion experiments during the second DAPPLE field campaign in London 2004

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Cited by 21 publications
(28 citation statements)
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“…Experimental data were then pooled with experimental data obtained as part of the DAPPLE campaign (Martin et al, 2010b, Wood et al, 2009.…”
Section: Discussionmentioning
confidence: 99%
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“…Experimental data were then pooled with experimental data obtained as part of the DAPPLE campaign (Martin et al, 2010b, Wood et al, 2009.…”
Section: Discussionmentioning
confidence: 99%
“…The model is based on a street network concept, using street segments and intersections to represent the geometry, with tracer exchanges between streets taking place at the intersections. Performance was generally best for wind directions approximately diagonal to the street axes (∼45 o ), while cases with wind directions almost parallel to the street axis gave results with larger uncertainties (Martin et al, 2010b).…”
Section: Model Evaluationmentioning
confidence: 99%
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“…For this reason the street-canyon model OSPM, validated on the basis of these in situ experiments in regular street canyons (aspect ratio $ unity), predicts maximum concentration levels when the wind is parallel to the street (Berkowicz et al, 1997). More recently, more extensive in situ experimental campaigns were performed providing additional information on the dependence of ground level on wind speed and directions (Berkowicz et al, 2002;Kumar et al, 2008;Tomlin et al, 2009;Martin et al, 2009).…”
Section: Introductionmentioning
confidence: 99%
“…This is especially true in urban air pollution problems, where pollutant sources are spatially distributed and highly variable in time and space. One empirical approach used to address this problem is to perform dispersion experiments, in which the emission rate of a certain tracer is highly controlled while its concentrations are measured in the surroundings (Martin et al, 2010;White et al, 1999). Complete a priori knowledge on the emissions allows in this case enhanced knowledge on the meteorological factors of the air pollution problem under consideration.…”
Section: Introductionmentioning
confidence: 99%