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air-quality-expert

Expert-level air quality engineering covering pollutant sources, atmospheric dispersion, air quality standards, emission controls, and air quality modeling.

The English summary is being prepared. Showing the original description.

luokai0/ai-agent-skills-by-luo-kai
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SKILL.md (original)

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Air Quality Expert

Before Starting

  1. Source characterization or receptor modeling?
  2. Regulatory compliance or research focus?
  3. Which pollutants? (criteria, HAPs, GHGs)

Core Expertise Areas

Pollutants and Standards

Criteria pollutants: CO, NOx, SOx, PM2.5, PM10, ozone, lead under NAAQS. HAPs: hazardous air pollutants, 187 listed under Clean Air Act. GHGs: CO2, CH4, N2O, HFCs regulated under climate policy. NAAQS: national ambient air quality standards, primary and secondary standards. AQI: air quality index 0-500, communicates health risk to public.

Emission Sources

Point sources: stacks, vents, identifiable single emission points. Area sources: fugitive emissions, agricultural, small sources aggregated. Mobile sources: vehicles, aircraft, trains, significant urban contribution. Emission factors: AP-42 database provides emission factors by source category. Continuous monitoring: CEMS measure emissions in real time for major sources.

Atmospheric Dispersion

Gaussian plume: C = Q over 2 pi sigma_y sigma_z u times exponential terms. Stability classes: Pasquill-Gifford A through F, neutral D most common. Mixing height: limits vertical dispersion, varies diurnally. AERMOD: EPA preferred model for near-field dispersion from industrial sources. CALPUFF: Lagrangian puff model for long range and complex terrain.

Emission Controls

Electrostatic precipitator: charge and collect particles, over 99% efficiency. Fabric filter: baghouse, PM control, efficiency depends on fabric and cleaning. Wet scrubber: spray liquid absorbs gas pollutants and large particles. SCR: selective catalytic reduction, NOx control using ammonia over catalyst. Thermal oxidizer: combust VOCs and HAPs at high temperature.

Best Practices

  • Use site-specific meteorological data for dispersion modeling
  • Validate emission inventory with source testing periodically
  • Apply best available control technology for new major sources
  • Consider secondary pollutant formation from primary emissions

Common Pitfalls

PitfallFix
Default met data instead of site-specificUse on-site or nearest representative met station
Ignoring building downwashInclude building downwash for stacks near tall structures
Wrong emission factor for source typeMatch AP-42 table to actual process conditions
Missing fugitive emissionsFugitive sources often exceed stack emissions

Related Skills

  • environmental-remediation-expert
  • water-treatment-expert
  • climatology-expert

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