IMDIS — An integrated approach to Gaussian dispersion modeling

Salcedo, Romualdo

doi:10.1016/0266-9838(91)90004-a

Cited by 3 publications

(5 citation statements)

References 7 publications

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“…Gaussian dispersion modelling suites, including the Atmospheric Dispersion Modelling System (ADMS) and the AMS/EPA Regulatory Model (AERMOD), are valuable and well-established tools in the simulation of primary as well as secondary pollutants in carrier media (Prahm and Christensen 1977;Salcedo 1991;Jennings and Kuhlman 1997;Voit and Voit 2000;Clappier et al 2015). Consequently, ADMS and AERMOD were used to simulate pollutant concentration at the exact sampling locations which the passive samplers were located.…”

Section: Methodsmentioning

confidence: 99%

The quantification of atmospheric emissions from complex configuration sources using reverse dispersion modelling

Akinshipe

Kornelius

2017

Int. J. Environ. Sci. Technol.

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Reverse dispersion modelling was employed to quantify sulphur dioxide (SO 2 ) and nitrogen dioxide (NO 2 ) emissions from brick firing clamp kilns and spontaneous combustion from a coal discard dump. Reverse dispersion modelling technique integrates ambient monitoring and dispersion simulation to calculate actual emission rates from an assumed rate of 1 g per second (g/ s). Emission rates and emission factors were successfully quantified for SO 2 , but not for NO 2 , due to the influence of external sources and the complexity regarding the varying proportion of nitrogen oxides released from the kiln. Quantified emission factor for clamp kiln firing ranged from 1.91-3.24 g of SO 2 per brick fired and 0.67-1.14 g of SO 2 per kilogram of bricks fired. The variation in SO 2 emission factors was linked to high variability in energy input. The source configuration input to the dispersion model, assumed to represent the kiln, was changed from a volume source to a more effective ''bi-point'' source situated at the top of the kiln, with buoyancy calculated from the carbon combustion rate. In addition, SO 2 emission rate for spontaneous combustion from the discard dump was quantified as 0.35 g/s. 274 tons of discard material was estimated to burn annually, assuming that the emission rate is consistent over a year. Consequently, the reverse dispersion modelling and the elevated ''bi-point'' source technique may be considered a novel approach for quantifying emissions from combustion of materials or mixture of materials where knowledge of source parameters is limited.Keywords Back-calibration Á Bi-point source Á Clamp kiln Á Dispersion modelling Á Emission factor Á Reverse dispersion modelling Á Spontaneous combustion Editorial responsibility: M. Abbaspour.

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Section: Methodsmentioning

confidence: 99%

The quantification of atmospheric emissions from complex configuration sources using reverse dispersion modelling

Akinshipe

Kornelius

2017

Int. J. Environ. Sci. Technol.

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“…IMDIS is a graphical menu-driven computer program that has been published before [4,5], with the most relevant features as follows:…”

Section: Model Highlightsmentioning

confidence: 99%

“…In the case of particles (image on the right-hand side), the main characterization parameter is their dominant size. Particles within [5,100]µm suffer sedimentation, while particles below 5 µm are treated as gases for transport, but are considered totally absorbed upon touching the ground.…”

Section: Gases/particles Menumentioning

confidence: 99%

“…• By activating the Next button, a new window with the map appears. The map allows for various actions: -Visualize the (x, y) coordinates by hovering the mouse over the map (1) -Zoom In (2), which allows reducing the area represented by the map -Zoom Out (3), which allows expanding the area represented by the map -Move Center (4), which allows selecting (by clicking) a point to be the center of the map -Refresh Map (5), to restore the initial map or eliminate possible selections that are eventually made.…”

Section: Concentration Isoplethsmentioning

confidence: 99%

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A Teaching Tool for Air Pollution Dispersion Modelling

Salcedo¹

2020

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“…Good correlations for Spring 1982 were obtained using Moses-Carson and Briggs plume rise formulas (respectively r 2 = 0.772 and r 2 = 0.764). However, IMDIS under-predicts concentrations by about 3-4 µg/m 3 , a sign that the background may be significant [4,5,12].…”

Section: Comparison With Experimental Data and Long-term Modelsmentioning

confidence: 99%

1 Model Highlights

Salcedo¹

2020

A Teaching Tool for Air Pollution Dispersion Modelling

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The validity of Gaussian models and their basics are very well explored by Turner [6] and by a report from the European Process Safety Center [7]. Basically, pollutants are emitted from a stack of some physical height (H s), the plume may be elevated to the so-called effective height of release (H e) both by momentum and thermal buoyancies due to the gas velocity and temperature (usually above ambient). The pollutants are diluted due to wind transport in the x direction, and by turbulent diffusion (dispersion) in both the lateral (y) and vertical (z) directions (Figure 1). This is a simplified image of what may happen, as dispersion might occur in the wind direction (x), and the plume may take quite different shapes depending on the atmosphere's stability. Special models called puff-models may be used to include dispersion in the wind direction that may be a relevant phenomenon at low wind speeds. Also, wind direction may change with height due to friction from the ground, but this is hard to predict and further complicates matters, introducing further uncertainties in the predicted concentration values.

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IMDIS — An integrated approach to Gaussian dispersion modeling

Cited by 3 publications

References 7 publications

The quantification of atmospheric emissions from complex configuration sources using reverse dispersion modelling

The quantification of atmospheric emissions from complex configuration sources using reverse dispersion modelling

A Teaching Tool for Air Pollution Dispersion Modelling

1 Model Highlights

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