Air Dispersion Modeling for Environmental Management

Air dispersion modelling is the quantitative core of almost every air quality permit application, environmental impact assessment and emissions compliance case. It converts an emission rate at a stack, a vent or a haul road into a predicted ambient concentration at a defined receptor, averaging period and percentile — the number a regulator will compare against an air quality standard. Done well, it settles arguments. Done badly, it produces confident-looking contour maps that cannot survive technical review.

This course teaches the discipline end to end. It begins with the physics — the Gaussian plume equation, atmospheric stability, plume rise and the boundary layer — then works through the two data sets that decide whether a study is credible: meteorology and emissions. It covers how to choose between Gaussian, Lagrangian and Eulerian approaches and between the models that implement them (AERMOD, CALPUFF, ADMS and the photochemical grid models), how to pre-process terrain, surface characteristics, building dimensions and receptor grids, and how to run a model and read its output against the standard that applies. It then moves to uncertainty, specific pollutants, complex terrain, accidental releases, EIA and permitting applications, model validation, and where the field is heading.

Throughout, the worked material is anchored in Middle East conditions: high ambient temperatures that suppress plume rise, very low surface roughness over desert and sea, strong nocturnal inversions, sea-breeze fumigation on the Gulf coast, and a natural mineral-dust background that routinely dominates measured PM10. Regulatory framing covers the UAE, Qatar and Saudi Arabia alongside the US EPA, EU and WHO reference points that Gulf authorities commonly draw on.

What you will learn

• Apply the Gaussian plume equation, Pasquill stability classes and Briggs plume rise to estimate ground-level concentrations by hand and sanity-check model output.
• Assemble, quality-assure and justify a meteorological data set, including surface characteristics, boundary-layer parameters and representativeness arguments.
• Build a defensible emission inventory using continuous monitoring, source testing, mass balance and published emission factors, and convert measured concentrations into modelling emission rates.
• Characterise point, area, volume, line and flare sources correctly, and apply Good Engineering Practice stack height and building downwash rules.
• Select the appropriate model and demonstrate why, using regulatory criteria rather than habit or software availability.
• Pre-process terrain, land cover, building geometry and receptor grids so that the maximum concentration is actually found.
• Interpret model output as design values, process contributions and predicted environmental concentrations against UAE, Qatar, Saudi, US, EU and WHO criteria.
• Quantify and communicate uncertainty, validate model performance against monitoring data, and write modelling chapters that withstand regulatory review.

Who it is for

The course is written for environmental consultants and EIA practitioners, air quality and HSE specialists in industry, regulators and permit reviewers, and process, chemical and environmental engineers who commission or check dispersion studies. A working knowledge of general environmental management and comfort with basic algebra and units is assumed; no prior modelling software experience is required, although those who already run AERMOD or ADMS will find the emphasis on input justification, model selection and interpretation directly useful.

How the course works

The programme is delivered entirely online as self-paced study, structured as short lessons grouped into modules that you can work through in any order and revisit as often as you need. It concludes with a 30-question final examination with a 70% pass mark. Successful learners receive a verifiable SKEDMIA certificate. Allow approximately 8 to 10 hours of study in total.