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Introduction To Air Quality Modeling
New
Rating: 4.8 out of 5(4 ratings)
84 students

Introduction To Air Quality Modeling

Master the fundamentals of air quality modeling using Gaussian, Lagrangian, Eulerian, CFD, AERMOD, HYSPLIT, WRF-Chem
Created byHosni Snoun
Last updated 8/2026
English
English [Auto],

What you'll learn

  • Understand the fundamental principles of air quality modeling and atmospheric pollutant dispersion.
  • Differentiate between Gaussian, Lagrangian, Eulerian, CFD, and Integral air quality models and identify their appropriate applications.
  • Explain how weather conditions, atmospheric stability, and wind influence the transport and dispersion of air pollutants.
  • Recognize the capabilities, strengths, and limitations of industry-leading models such as AERMOD, HYSPLIT, FLEXPART, WRF-Chem, and CHIMERE.
  • Select the most appropriate air quality modeling approach for environmental impact assessments, regulatory studies, emergency response, and research projects.
  • Interpret air quality modeling outputs, concentration maps, trajectories, and dispersion simulations with confidence.
  • Build a solid conceptual foundation for advanced courses in atmospheric dispersion modeling and chemical transport modeling.
  • Apply the concepts learned to real-world environmental, industrial, and public health scenarios involving air pollution.

Course content

4 sections • 5 lectures • 39m total length
  • Air Quality Modeling Fundamentals9:31


    1. Why Air Quality Matters

    2. What is Air Quality Modeling?

    3. Why We Need Dispersion Models

    4. Applications of Air Quality Models

    5. Classification of Air Quality Models

Requirements

  • No prior knowledge of air quality modeling is required—this course is designed for complete beginners.
  • A basic understanding of high school mathematics and physics is helpful but not essential.
  • An interest in environmental science, atmospheric science, engineering, or air pollution is recommended.
  • No specialized software needs to be installed, as this course focuses on the fundamental concepts and theory behind air quality models.

Description

This course contains the use of artificial intelligence.

Introduction to Air Quality Modeling

Have you ever wondered how scientists predict where air pollution travels, who is exposed to it, and how environmental decisions are made before a factory is built or an emergency occurs? This course provides a clear, beginner-friendly introduction to the fascinating world of air quality modeling.

Designed for students, researchers, environmental professionals, engineers, and anyone interested in atmospheric science, this course explains the fundamental concepts behind atmospheric dispersion without requiring prior experience. Through easy-to-follow explanations and real-world examples, you'll learn how pollutants are transported, dispersed, and transformed in the atmosphere.

We'll explore the major families of air quality models, including Gaussian, Lagrangian, Eulerian, CFD, and Integral models, while introducing industry-leading tools such as AERMOD, HYSPLIT, FLEXPART, WRF-Chem, and CHIMERE. You'll understand when each model should be used, their strengths and limitations, and the scientific principles that drive them.

By the end of the course, you'll be able to confidently distinguish between different modeling approaches, understand the fundamentals of atmospheric dispersion, and select the appropriate modeling technique for a wide range of environmental applications—from industrial permitting and environmental impact assessments to emergency response and regional air quality forecasting.

Whether you're preparing for advanced modeling courses or simply want to understand how modern air quality predictions are made, this course provides the perfect foundation to begin your journey into atmospheric dispersion modeling.


Who this course is for:

  • Students in Environmental Science, Atmospheric Science, Meteorology, Civil Engineering, Chemical Engineering, or Environmental Engineering who want to build a solid foundation in air quality modeling.
  • Environmental consultants and professionals involved in environmental impact assessments (EIA), air quality studies, and regulatory compliance.
  • Researchers and graduate students looking to understand the principles behind atmospheric dispersion and chemical transport models before using advanced software.
  • Government agency staff and air quality specialists responsible for environmental monitoring, permitting, and air pollution management.
  • Meteorologists and weather forecasters interested in expanding their expertise into air quality and atmospheric chemistry.
  • Anyone interested in air pollution, climate, and environmental protection who wants a beginner-friendly introduction to how modern air quality models work.
  • Professionals planning to learn or use advanced tools such as AERMOD, HYSPLIT, FLEXPART, WRF-Chem, or CHIMERE in future projects or specialized courses.
  • This course is not intended for learners seeking hands-on software installation or advanced model configuration tutorials, as it focuses on the fundamental concepts and scientific principles of air quality modeling.