Environmental Quality Monitoring & Analysis, - Vol 4 | 3. Gaussian Dispersion Model - Example, Additional topics by Abraham | Learn Smarter
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3. Gaussian Dispersion Model - Example, Additional topics

The chapter covers the Gaussian dispersion model to estimate the concentration of pollutants emitted from various sources. It discusses the application of this model in real-world scenarios, emphasizing the significance of receptor locations in assessing air quality. Further, it highlights the importance of planning for emergency responses and the strategic siting of industrial sources to minimize public exposure to pollution.

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Sections

  • 1

    Gaussian Dispersion Model - Example, Additional Topics

    This section presents an example of using the Gaussian Dispersion Model to estimate concentrations of SO2 emissions from a stack.

    Learning Practice

  • 1.1

    Illustration Of So Emission From A Stack

    This section discusses the Gaussian dispersion model for estimating sulfur dioxide (SO₂) emissions from a stack, focusing on the concentration at specific distances from the source under varying conditions.

    Learning Practice

  • 1.2

    Estimation Of Pollutant Concentration At Different Coordinates

    This section discusses the estimation of pollutant concentrations using the Gaussian dispersion model, providing examples and emphasizing the variables involved.

    Learning Practice

  • 1.3

    Application Of Dispersion Model For Multiple Sources

    This section discusses the application of the Gaussian dispersion model to estimate pollutant concentrations from multiple emission sources.

    Learning Practice

  • 1.4

    Mapping And Visualization Of Pollutant Concentration

    This section discusses the mapping and visualization techniques used to represent pollutant concentrations in the environment, particularly through Gaussian dispersion models.

    Learning Practice

  • 1.5

    Emergency Response Planning Using Dispersion Modeling

    This section focuses on the application of Gaussian dispersion modeling for estimating pollutant concentrations and planning emergency responses in various scenarios.

    Learning Practice

  • 1.6

    Sighting Of Industry And Its Implications

    This section explores the implications of industrial site selection based on pollutant dispersion models and environmental impact assessments.

    Learning Practice

  • 1.7

    Non-Idealities In Dispersion Models

    This section discusses non-idealities in dispersion models, focusing on specific phenomena like stacktip downwash and building downwash that affect pollutant concentration estimates.

    Learning Practice

  • 1.8

    Stacktip Downwash

    Stacktip downwash describes the phenomenon where emissions from a stack can recirculate due to low-pressure zones created by wind around the stack, leading to increased concentration of pollutants at ground level.

    Learning Practice

  • 1.9

    Building Downwash

    This section discusses the impacts of building downwash on pollutant dispersion, particularly in urban environments, highlighting the importance of stack height relative to buildings.

    Learning Practice

  • 1.10

    Common Urban Sources Of Emissions

    This section discusses common urban sources of emissions, highlighting techniques for estimating air quality impacts using the Gaussian dispersion model.

    Learning Practice

References

42.pdf

Class Notes

Memorization

What we have learnt

  • The Gaussian dispersion mod...
  • Stability classes and plume...
  • Planning for industrial sit...

Final Test

Revision Tests