4,772 research outputs found
Pollutant dispersion in a developing valley cold-air pool
Pollutants are trapped and accumulate within cold-air pools, thereby affecting air quality. A numerical model is used to quantify the role of cold-air-pooling processes in the dispersion of air pollution in a developing cold-air pool within an alpine valley under decoupled stable conditions. Results indicate that the negatively buoyant downslope flows transport and mix pollutants into the valley to depths that depend on the temperature deficit of the flow and the ambient temperature structure inside the valley. Along the slopes, pollutants are generally entrained above the cold-air pool and detrained within the cold-air pool, largely above the ground-based inversion layer. The ability of the cold-air pool to dilute pollutants is quantified. The analysis shows that the downslope flows fill the valley with air from above, which is then largely trapped within the cold-air pool, and that dilution depends on where the pollutants are emitted with respect to the positions of the top of the ground-based inversion layer and cold-air pool, and on the slope wind speeds. Over the lower part of the slopes, the cold-air-pool-averaged concentrations are proportional to the slope wind speeds where the pollutants are emitted, and diminish as the cold-air pool deepens. Pollutants emitted within the ground-based inversion layer are largely trapped there. Pollutants emitted farther up the slopes detrain within the cold-air pool above the ground-based inversion layer, although some fraction, increasing with distance from the top of the slopes, penetrates into the ground-based inversion layer.Peer reviewe
Exploring the possible role of small scale terrain drag on stable boundary layers over land
This paper addresses the possible role of unresolved terrain drag, relative to the turbulent drag on the development of the stable atmospheric boundary layer over land. Adding a first-order estimate for terrain drag to the turbulent drag appears to provide drag that is similar to the enhanced turbulent drag obtained with the so-called long-tail mixing functions. These functions are currently used in many operational models for weather and climate, although they lack a clear physical basis. Consequently, a simple and practical quasi-empirical parameterization of terrain drag divergence for use in large-scale models is proposed and is tested in a column mode. As an outcome, the cross-isobaric mass flow (a measure for cyclone filling) with the new scheme, using realistic turbulent drag, appears to be equal to what is found with the unphysical long-tail scheme. At the same time, the new scheme produces a much more realistic less-deep boundary layer than is obtained by using the long-tail mixing function
Laboratory simulations of local winds in the atmospheric boundary layer via image analysis
In the atmospheric boundary layer, under high pressure conditions and negligible geostrophic winds, problems associated with pollution are the most critical. In this situation local winds play a major role in the evaluation of the atmospheric dynamics at small scales and in dispersion processes. These winds originate as a result of nonuniform heating of the soil, either when it is homogeneous or in discontinuous terrain in the presence of sea and/or slopes. Depending on the source of the thermal gradient, local winds are classified into convective boundary layer, sea and land breezes, urban heat islands, and slope currents. Local winds have been analyzed by (i) simple analytical models; (ii) numerical models; (iii) field measurements; (iv) laboratory measurements through which it is impossible to completely create the necessary similarities, but the parameters that determine the phenomenon can be controlled and each single wind can be separately analyzed. The present paper presents a summary of laboratory simulations of local winds neglecting synoptic winds and the effects of Coriolis force. Image analysis techniques appear suitable to fully describe
both the individual phenomenon and the superposition of more than one local wind. Results do agree with other laboratory studies and numerical experiments
Herramientas computacionales para la simulación de episodios de contaminación atmosférica
The present work briefly details the theoretical aspects of numerical methods for the simulation of turbulent transport and dispersion of gases into the atmospheric boundary layer. Later, we show some laboratory experiments of plume dispersion emitted from contaminant sources and the results of the computational simulation tool in comparison with laboratory simulations. Finally, we present a simulation of a hypothetical delocalisation of an open dump close to the city of Paraná in the province of Entre RÃos, Argentina. The results shown include gas concentrations, as well as their geographical distribution from a downwind source, under the most unfavourable meteorological situation.En este trabajo se presentan brevemente los aspectos teóricos sobre los que se basan los métodos numéricos para la simulación de transporte turbulento de gases y dispersión atmosférica. Posteriormente, se muestran algunos casos de validación de los resultados de distribución de concentración de gases emanados de fuentes de contaminación con experiencias de mediciones de laboratorio y por último se presenta una simulación de polución correspondiente a una hipotética relocalización del basurero a cielo abierto en las cercanÃas de la ciudad de Paraná, Provincia de Entre RÃos. Se muestran los resultados de la concentración de gases y su distribución geográfica corriente abajo de las fuentes de emisión considerando la situación meteorológica más desfavorable para ambos casos.Fil: Aguirre, Cesar Augusto. Provincia de Entre RÃos. Centro de Investigaciones CientÃficas y Transferencia de TecnologÃa a la Producción. Universidad Autónoma de Entre RÃos. Centro de Investigaciones CientÃficas y Transferencia de TecnologÃa a la Producción. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - Santa Fe. Centro de Investigaciones CientÃficas y Transferencia de TecnologÃa a la Producción; Argentina. Universidad Autónoma de Entre RÃos. Facultad de Ciencia y TecnologÃa; Argentina. Universidad Nacional de Entre RÃos. Facultad de Ciencias Agropecuarias; ArgentinaFil: Brizuela, Armando Benito. Provincia de Entre RÃos. Centro de Investigaciones CientÃficas y Transferencia de TecnologÃa a la Producción. Universidad Autónoma de Entre RÃos. Centro de Investigaciones CientÃficas y Transferencia de TecnologÃa a la Producción. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - Santa Fe. Centro de Investigaciones CientÃficas y Transferencia de TecnologÃa a la Producción; Argentina. Universidad Nacional de Entre RÃos. Facultad de Ciencias Agropecuarias; ArgentinaFil: Hildt, Leonardo E.. Universidad Autónoma de Entre RÃos. Facultad de Ciencia y TecnologÃa; Argentin
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LES validation of urban flow, part I: flow statistics and frequency distributions
Essential prerequisites for a thorough model evaluation are the availability of problem-specific, quality-controlled reference data and the use of model-specific comparison methods. The work presented here is motivated by the striking lack of proportion between the increasing use of large-eddy simulation (LES) as a standard technique in micro-meteorology and wind engineering and the level of scrutiny that is commonly applied to assess the quality of results obtained. We propose and apply an in-depth, multi-level validation concept that is specifically targeted at the time-dependency of mechanically induced shear-layer turbulence. Near-surface isothermal turbulent flow in a densely built-up city serves as the test scenario for the approach. High-resolution LES data are evaluated based on a comprehensive database of boundary-layer wind-tunnel measurements. From an exploratory data analysis of mean flow and turbulence statistics, a high level of agreement between simulation and experiment is apparent. Inspecting frequency distributions of the underlying instantaneous data proves to be necessary for a more rigorous assessment of the overall prediction quality. From velocity histograms local accuracy limitations due to a comparatively coarse building representation as well as particular strengths of the model to capture complex urban flow features with sufficient accuracy are readily determined. However, the analysis shows that further crucial information about the physical validity of the LES needs to be obtained through the comparison of eddy statistics, which is focused on in part II. Compared with methods that rely on single figures of merit, the multi-level validation strategy presented here supports conclusions about the simulation quality and the model's fitness for its intended range of application through a deeper understanding of the unsteady structure of the flow
A review of the meteorological parameters which affect aerial application
The ambient wind field and temperature gradient were found to be the most important parameters. Investigation results indicated that the majority of meteorological parameters affecting dispersion were interdependent and the exact mechanism by which these factors influence the particle dispersion was largely unknown. The types and approximately ranges of instrumented capabilities for a systematic study of the significant meteorological parameters influencing aerial applications were defined. Current mathematical dispersion models were also briefly reviewed. Unfortunately, a rigorous dispersion model which could be applied to aerial application was not available
Model turbulent floods with the Smagorinski large eddy closure
Floods, tides and tsunamis are turbulent, yet conventional models are based
upon depth averaging inviscid irrotational flow equations. We propose to change
the base of such modelling to the Smagorinksi large eddy closure for turbulence
in order to appropriately match the underlying fluid dynamics. Our approach
allows for large changes in fluid depth to cater for extreme inundations. The
key to the analysis underlying the approach is to choose surface and bed
boundary conditions that accommodate a constant turbulent shear as a nearly
neutral mode. Analysis supported by slow manifold theory then constructs a
model for the coupled dynamics of the fluid depth and the mean turbulent
lateral velocity. The model resolves the internal turbulent shear in the flow
and thus may be used in further work to rationally predict erosion and
transport in turbulent floods
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