dispersion modeling validation Articles
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Validation of DIPCOT-II model based on the Kincaid experiment
This study presents the performance of the Lagrangian particle dispersion model DIPCOT-II (DIsPersion over COmplex Terrain) at the Kincaid field experiment. The validation of the model is performed on the basis of the maximum arcwise and near centreline concentrations using the bootstrap re-sampling procedure and the variation of the model residuals.Keywords: Kincaid experiment, Lagrangian ...
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Recent studies to validate and compare atmospheric dispersion models for regulatory purposes in the UK
Some results are presented for recent studies to develop new approaches for (i) validating atmospheric dispersion models using crosswind concentration transects, and (ii) summarising and comparing the predictions of models across a range of efflux and meteorological conditions.Keywords: crosswind concentration, dispersion climate, dispersion modelling, ...
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SMEDIS: scientific model evaluation of dense gas dispersion models
SMEDIS is a project currently in progress to develop a protocol for the scientific evaluation of dense gas dispersion (DGD) models, with particular emphasis on the complex effects of obstacles, terrain and aerosols often found in real situations, and then to apply this protocol to DGD models currently in use in Europe. This paper describes the general features of a model evaluation project and ...
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The harmonisation of gas dispersion modelling for industrial applications: a few thoughts for the future
The Gas Dispersion Modelling Harmonisation Initiative has been successful in highlighting significant differences between models for quantifying the dispersion of gaseous emissions. Possible areas for developing the initiative further are detailed in this paper. The key issues raised are: a) The need for a definitive set of full-scale experiments to quantify dispersion from stacks with heights in ...
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Indicators of performance of dispersion models and their reference values
A methodology of validation of dispersion models is analysed in this paper for situations when measurements, corresponding to a given set of governing meteorological parameters, are contaminated with stochastic noise resulting from the turbulent nature of atmospheric processes. Deterministic dispersion models in these situations predict certain non-stochastic values of concentrations and, ...
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The Model Validation Kit - status and outlook
Over the past few years, the so-called Model Validation Kit has been the basis for much work on evaluation of atmospheric point source dispersion models. The kit has recently been enhanced with a supplement which represents urban conditions (experimental data from Indianapolis, USA). A change of methodology is under consideration, based on the concept of near centreline concentrations. The paper ...
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Validation of the improved AEROPOL model against the Copenhagen data set
The improved Gaussian dispersion model AEROPOL (University of Tartu, Estonia) is validated against the Copenhagen air pollution dispersion dataset belonging to the Model Validation Kit of the Initiative on "Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes". Model updates include the application of: surface heat flux instead of indirect indicators of surface layer ...
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A review of evaluation procedures for atmospheric dispersion models
Evaluation of atmospheric dispersion models is vital to justify their use within the air quality component of environmental assessments. The Model Validation Kit, compiled and distributed by Helge Olesen of NERI, is often used for such evaluations. Whilst the Model Validation Kit has a wide range of functionality, its users often limit their evaluation to a few simplistic calculations. ...
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Quality control in dispersion modeling: Validation of a screening model for PM10 and NO2
European air quality guidelines require gathering information about air quality at locations where the population is affected or possibly affected by high concentrations. High concentrations are often found in densely built up streets with high traffic loads. In order to identify these hot spots and to assess possible measures to improve the situation, screening models are widely applied in ...
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Intercomparison of Lagrangian dispersion models and validation with Lillestrom data
Three different Lagrangian models (KLIMM-L, LASAT and STOER.LAG) are applied to the Lillestrom datasets. A pre-processing of the required vertical wind-profiles unifies the flow fields for the three models. In the framework of harmonisation the models show partial agreement with the datasets. The discrepancies are the same for all models. One reason for deviation of the datasets might be locally ...
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Validation of models AEROFOUR and AEROPOL using the model validation kit established at Mol
The AEROPOL and AEROFOUR dispersion models developed at Tartu Observatory (Estonia) are validated using the Lillestrom dataset and following the model comparison rules established at the workshop in Mol. Running the AEROFOUR model, the vertical wind and temperature co-variations not included into the official dataset were used. The computed and measured arc-wise maximum and crosswind integrated ...
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Validation of the Eulerian pollution transport model PolTran on the Kincaid data set
The study represents the first performance of the model PolTran on the Kincaid data set. PolTran is a typical representative of the Eulerian models: two dimensional Eulerian advection scheme and numerical calculation of the vertical diffusion. The meteorological pre-processor uses the Kincaid measurements of wind and temperature at 10, 50 and 100 m and provides the dispersion model with wind and ...
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Evaluation of the Lagrangian particle dispersion model DIPCOT against data from wind tunnel simulations of quasi two-dimensional turbulent flow
The stochastic dispersion model DIPCOT was validated against data from wind tunnel experiments where heat, used as the tracer, was released in a quasi two-dimensional turbulent flow. Dispersion simulations, based on Langevin equation, were performed using measurements and the model predictions were quantitatively compared to the experimental data. Two approaches of the drift term in Langevin ...
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The use of an operational model evaluation system for model intercomparison
This paper describes a prototype model evaluation system for the study of the capabilities and performance of operational atmospheric transport and dispersion models. This system provides tools both for objective statistical analysis using common performance measures and for more subjective visualisation of the temporal and spatial relationships of model results relative to field measurements. ...
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An overview of the REDIPHEM project
The Commission of the European Communities has been funding research projects to develop an understanding of chemical and physical phenomena related to industrial hazards, such as toxic and flammable releases and explosions. These projects result in predictive models and experimental data. To make these models and data available for a wider community and to judge their areas of application, the ...
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Validation of the dispersion model CAR-FMI against measurements near a major road
A field measurement campaign was conducted near a major road in southern Finland from 15 September to 30 October 1995. The concentrations of NO, NO2 and O3 were measured simultaneously at three locations, at three heights (3.5, 6 and 10 m) on both sides of the road. The relevant meteorological parameters and traffic densities were also measured on site. We have compared measured concentration ...
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A neural net-air dispersion model validation study using the Indianapolis urban data set
It is presented an integrated model composed by a dispersion model and a Neural Net (NN). The NN uses the concentrations predicted by the an analytical dispersion model as input variables of the net. This methodology was validated using Indianapolis urban data set where releases from an elevated emission source were considered. An improvement of performances is shown when the neural network is ...
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Contrasting methods for validating ADMS using the Indianapolis dataset
This paper shows results of validation of the Atmospheric Dispersion Modelling System (ADMS) against the Indianapolis dataset, comparing arcwise maxima and analysing the results using the BOOT statistical package. There is good agreement between the quality 3 daytime observed and predicted concentrations. At night-time, calculated concentrations depend critically on the value of the surface ...
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Inter-comparison of the AUSTAL2000 and CALPUFF dispersion models against the Kincaid data set
Regulatory air dispersion models AUSTAL2000 and CALPUFF are validated by comparing the predicted Ground Level Concentrations (GLC) with the measured dataset resulting from the dispersion of an elevated, buoyant plume release in the Kincaid power plant experiment. Standard statistical measures of the model results are inter-compared. Their performance is scrutinised using scattered, ...
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Pilot study: extension of the Model Validation Kit
The so-called Model Validation Kit has been used as a basis for modelling exercises at workshops in Manno (1993), Mol (1994) and at the present workshop. It is a practical tool, meant to serve as a common frame of reference for modellers. It consists of three experimental datasets, accompanied by software for model evaluation. Before the present workshop, a pilot study was conducted, aimed at ...
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