Environmental Quality Monitoring & Analysis, - Vol 3 | 13. Transport of Pollutants - Gaussian Dispersion Model by Abraham | Learn Smarter
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Knowledge
13. Transport of Pollutants - Gaussian Dispersion Model

The chapter discusses the Gaussian dispersion model as a method to predict the concentration of pollutants in the atmosphere as a function of spatial coordinates and time. It outlines the fundamental principles of mass balance and categorizes dispersion models into Eulerian and Lagrangian frameworks, focusing on the latter for its relevance in tracking pollution plumes. Key equations governing pollutant transport are presented, leading to the simplification necessary for practical application in environmental engineering.

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Sections

  • 1

    Environmental Quality: Monitoring And Analysis

    The section discusses the modeling of pollutant transport using Gaussian dispersion models, focusing on concentration prediction and factors affecting dispersion.

    Learning Practice

  • 1.1

    Transport Of Pollutants - Gaussian Dispersion Model

    This section covers the Gaussian dispersion model for predicting pollutant concentrations using mass balance principles and discusses the Eulerian and Lagrangian models of dispersion.

    Learning Practice

  • 1.2

    Modeling Goals

    This section introduces the principles of modeling environmental pollutant transport using Gaussian dispersion models.

    Learning Practice

  • 1.3

    Types Of Dispersion Models

    This section discusses the two main types of dispersion models used for pollutant transport analysis: Eulerian and Lagrangian models.

    Learning Practice

  • 1.4

    General Equation For Dispersion

    This section explains the general equation for dispersion in pollutant transport modeling, focusing on various factors like mass balance, dispersion models, and assumptions of steady-state conditions.

    Learning Practice

  • 1.5

    Concentration Changes And Steady State Assumptions

    This section discusses concentration changes in pollutant dispersion models and the assumptions related to steady state conditions.

    Learning Practice

  • 1.6

    Boundary Conditions And Steady State Equation

    This section discusses the modeling of pollutant dispersion using steady state equations and boundary conditions.

    Learning Practice

  • 1.7

    Next Steps: Gaussian Dispersion Model Derivation

    This section focuses on deriving the Gaussian dispersion model, emphasizing the mathematical principles governing pollutant transport.

    Learning Practice

References

38.pdf

Class Notes

Memorization

What we have learnt

  • Models for pollutant disper...
  • The Gaussian dispersion mod...
  • Transport phenomena and mas...

Final Test

Revision Tests