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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What we have learnt
- Models for pollutant dispersion can be classified into Eulerian and Lagrangian types.
- The Gaussian dispersion model helps predict the concentration of pollutants in a defined spatial area over time.
- Transport phenomena and mass balance are crucial in environmental engineering and modeling.
Key Concepts
- -- Gaussian Dispersion Model
- A mathematical model that predicts the concentration of pollutants in the air based on various factors such as time and distance from a source.
- -- Eulerian Model
- A modeling framework that observes changes over time from fixed spatial locations.
- -- Lagrangian Model
- A modeling framework that follows individual particles or elements of the fluid as they move through space.
- -- Mass Balance
- A principle stating that the rate of mass entering a control volume must equal the rate of mass leaving the volume plus any accumulation.
- -- Steady State
- A condition where the properties of the system do not change over time, allowing for simplifications in modeling.
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