Atmospheric Dispersion from Elevated Sources in an Urban Area: Comparison between Tracer Experiments and Model Calculations

Gryning, Sven‐Erik; Lyck, E.

doi:10.1175/1520-0450(1984)023<0651:adfesi>2.0.co;2

Cited by 183 publications

(90 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Ground-level concentrations measured during Prairie Grass (Barad, 1958) and Copenhagen (Gryning and Lyck, 1984) experiments are used to compare observed and calculated concentrations. The results are evaluated through a statistical analysis ordinarily used to evaluate pollutant dispersion models (Hanna, 1989).…”

Section: Introductionsupporting

confidence: 61%

See 1 more Smart Citation

Evaluation of two semi-analytical techniques in air quality applications

Carvalho

Moreira

2007

Rev. bras. meteorol.

View full text Add to dashboard Cite

RESUMO: AVALIAÇÃO DE DUAS TÉCNICAS SEMI-ANALÍTICAS EM APLICAÇÕES NA QUALIDADE DO AR.Neste artigo é realizada uma avaliação de duas técnicas semi-analíticas, considerando a qualidade e a exatidão destas técnicas em reproduzir valores de concentração ao nível da superfície de poluentes passivos emitidos a partir de fontes baixas e altas. A primeira técnica é um modelo Euleriano baseado na solução da equação advecção-difusão através da técnica de transformada de Laplace. A segunda é um modelo Lagrangiano baseado na solução da equação de Langevin através do Método Iterativo de Picard. Parâmetros da turbulência são calculados de acordo com uma parametrização capaz de gerar valores contínuos em todas as condições de estabilidade e em todas as alturas na camada limite planetária. Simulações numéricas e comparações mostram uma boa concordância entre valores de concentração previstos e observados. Comparações entre as duas técnicas revelam que o modelo Lagrangiano gera resultados mais precisos, mas o modelo Euleriano exige um menor tempo computacional. Palavras-chave: técnica semi-analítica, modelo Euleriano, modelo Lagrangiano, transformada de Laplace, Método Iterativo de Picard, avaliação de modelos.

show abstract

Section: Introductionsupporting

confidence: 61%

“…The performance of the Eulerian and Lagrangian semianalytical models has been evaluated against experimental ground-level concentration provided by the Prairie Grass (Barad, 1958) and Copenhagen (Gryning and Lyck, 1984) diffusion experiments.…”

Section: Modelling Resultsmentioning

confidence: 99%

Evaluation of two semi-analytical techniques in air quality applications

Carvalho

Moreira

2007

Rev. bras. meteorol.

View full text Add to dashboard Cite

show abstract

“…The conditions of dispersion experiment in Copenhagen (1978 -79, Gryning andLyck, 1984) correspond well to the typical situation, in which the AEROPOL model is applied: urban elevated (115 m) release, mid-latitude maritime climate with quite strong winds and neutral or slightly unstable stratification. The improved AEROPOL model was validated against the Copenhagen data set (observed data: .…”

Section: Introductionmentioning

confidence: 99%

Validation of the improved AEROPOL model against the Copenhagen data set

Kaasik¹,

Kimmel²

2003

IJEP

View full text Add to dashboard Cite

INTRODUCTIONThe international agreement represented by COM (1999) sets certain criteria to which results of air pollution modelling must correspond. Usually there does not exist enough spatial information about pollution field -thus, validation of the model is complicated. International data sets for validation of models are good alternatives -they represent pollution field in different meteorological conditions and pollution patterns.The aim of current study is to validate Gaussian-plume AEROPOL model against the Copenhagen data set and thus check its applicability in typical weather and urban conditions. The triggering reasons for this study were (1) the improvement of model and (2) the extensive use of AEROPOL for urban planning applications in Estonia. BACKGROUNDThe AEROPOL model (developed in Tartu Observatory, Estonia) is a Gaussian plume model, which includes the reflection and partial adsorption of the pollutant at the underlying surface, wet deposition, initial rise of buoyant plumes. The model is applicable for gaseous pollutants and particles from stacks, transport and area sources like domestic heating (Kaasik, 1996, Kaasik et al., 2002.

show abstract

“…Both experiments are loosely based on the Copenhagen tracer experiment (Gryning, 1981;Gryning and Lyck, 1984), but numerical sensor network design experiments require only climatological weather data, a dispersion model, and specifications of the types of sensors being considered -no actual tracer experiment data is required. In the present study, data from each network was provided to the event reconstruction system in order to identify the location and magnitude of a 1.5-hour release of a neutrally-buoyant gas in a 6km x 6 km suburban area.…”

Section: Discussionmentioning

confidence: 99%

“…These simulations were roughly based on the Copenhagen tracer experiments (Gryning and Lyck, 1984), using a domain, terrain features, and meteorology from the 19 July 1979 release of sulfur hexafluoride tracer gas in the suburban Copenhagen area. Hourly averages of wind speed and wind direction from the TV tower from which the tracer gas was released were used to define a wind field in NARAC's ADAPT model; observations from four levels above the surface were available (10m, 60m, 120m, and 200m).…”

Section: Description Of the Numerical Simulationsmentioning

confidence: 99%

Synthetic Event Reconstruction Experiments for Defining Sensor Network Characteristics

Lundquist¹,

Kosović²,

Belles³

2005

View full text Add to dashboard Cite

An event reconstruction technology system has been designed and implemented at Lawrence Livermore National Laboratory (LLNL). This system integrates sensor observations, which may be sparse and/or conflicting, with transport and dispersion models via Bayesian stochastic sampling methodologies to characterize the sources of atmospheric releases of hazardous materials. We demonstrate the application of this event reconstruction technology system to designing sensor networks for detecting and responding to atmospheric releases of hazardous materials. The quantitative measure of the reduction in uncertainty, or benefit of a given network, can be utilized by policy makers to determine the cost/benefit of certain networks.Herein we present two numerical experiments demonstrating the utility of the event reconstruction methodology for sensor network design. In the first set of experiments, only the time resolution of the sensors varies between three candidate networks. The most "expensive" sensor network offers few advantages over the moderately-priced network for reconstructing the release examined here. The second set of experiments explores the significance of the sensors' detection limit, which can have a significant impact on sensor cost. In this experiment, the expensive network can most clearly define the source location and source release rate. The other networks provide data insufficient for distinguishing between two possible clusters of source locations. When the reconstructions from all networks are aggregated into a composite plume, a decision-maker can distinguish the utility of the expensive sensor network.

show abstract

Atmospheric Dispersion from Elevated Sources in an Urban Area: Comparison between Tracer Experiments and Model Calculations

Cited by 183 publications

References 0 publications

Evaluation of two semi-analytical techniques in air quality applications

Evaluation of two semi-analytical techniques in air quality applications

Validation of the improved AEROPOL model against the Copenhagen data set

Synthetic Event Reconstruction Experiments for Defining Sensor Network Characteristics

Contact Info

Product

Resources

About