Air Quality Dispersion Model

Air Quality Dispersion Model MCP Connector for Claude

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Predict pollutant dispersion and ground-level concentrations from industrial sources.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized modeling tools for predicting how air pollutants disperse from oil and gas facilities. It uses Gaussian plume logic to calculate ground-level concentrations, identify the point of maximum impact, and assess risks like building downwash. Users can also adjust predictions for complex terrain to ensure compliance with ambient air quality standards.

pollutiondispersionmodelingemissionsmeteorology

4 tools expose this connector's capabilities to your AI agent.

analyze_terrain_effects

Adjusts dispersion predictions based on the presence of hills or valleys

calculate_ground_concentration

Determines the concentration of a pollutant at a specific geographic coordinate

estimate_maximum_impact

Identifies the point of highest pollutant concentration and its distance from the source

evaluate_downwash_risk

Assesses how much a nearby structure will disrupt the plume and increase ground-level concentrations

See how to talk to your AI agent using Air Quality Dispersion Model.

What is the pollutant concentration at latitude 34.05 and longitude -118.24 if the emission rate is 50 g/s, stack height is 50m, wind speed is 3 m/s, and stability class is D?

The predicted ground-level concentration at the specified coordinates is 12.5 µg/m³.

Where will the maximum pollutant impact occur for an emission rate of 100 g/s, 60m stack, 5 m/s wind, and 400K stack temperature?

The maximum concentration will occur at a distance of 1,250 meters from the source in a direction of 180 degrees.

Is there a downwash risk if a 50m stack is near a 40m wide building with a height of 30m and wind speed of 4 m/s?

The risk level is moderate, with an expected concentration multiplier of 1.4 due to building downwash.

You can use the `calculate_ground_concentration` tool by providing the emission rate, stack height, wind speed, target coordinates, and atmospheric stability class.

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