Air Quality Data Analysis & Interpretation
Analyze air quality monitoring data, calculate AQI/NAAQS metrics, and generate regulatory reports
What You Can Do
You can rapidly ingest raw monitoring data from multiple air quality stations, validate instrument quality and detect data gaps, calculate AQI and NAAQS compliance metrics, identify pollution episodes and exceedance events, and generate scientifically rigorous technical reports suitable for EPA, state regulators, and local air districts. The skill handles the computational complexity of regulatory air quality analysis while ensuring defensibility for environmental compliance projects.
Features
detects instrument drift, calibration issues, and data gaps to ensure data integrity
computes Air Quality Index and National Ambient Air Quality Standards compliance metrics across multiple pollutants
flags exceedance events and anomalies for root cause analysis and trend assessment
cross-references hourly/daily data from continuous and filter-based analyzers (PM2.5, O₃, NOₓ, SO₂, CO, VOCs)
cross-references EPA NAAQS, state ambient air quality standards, and local ordinances for compliance assessment
analyzes PM2.5 composition and VOC profiles for source apportionment and emissions characterization
produces formatted, citation-ready regulatory documentation with quality flags and methodology transparency
validates data for PSD, Title V, NSR, and state implementation plan (SIP) air quality projects
Example Output
Example 1: NAAQS Exceedance Summary
Station: Downtown Monitor (ID: DM-07)
- PM2.5 24-hr average: 38.2 µg/m³ (Exceeds NAAQS: 35 µg/m³) ⚠️
- Ozone 8-hr rolling avg: 0.089 ppm (Below NAAQS: 0.070 ppm) ✓
- QA/QC Status: 3 missing hours flagged (12:00–14:00 UTC, sensor calibration)
- Episode Date: January 15, 2024 — High pressure system, stagnation conditions
Example 2: AQI Calculation Output
| Pollutant | Conc. (24-hr) | AQI Component | Contribution | Status |
|---|---|---|---|---|
| PM2.5 | 42 µg/m³ | 138 | Dominant | Unhealthy for Sensitive Groups |
| O₃ | 0.062 ppm | 92 | Secondary | Moderate |
| NO₂ | 58 ppb | 78 | Minor | Moderate |
| Overall AQI | — | 138 | PM2.5-driven | Unhealthy for Sensitive Groups |
Example 3: Regulatory Report Excerpt
"During the monitoring period (Jan 1–31, 2024), Station DM-07 recorded two NAAQS exceedances for PM2.5 24-hr standards. Meteorological analysis indicates high-pressure stagnation events with negligible wind dispersion. Data validation confirmed instrument calibration within ±5% tolerance; 2.1% of hourly values flagged for missing data during power outages (Jan 18–19). Recommendation: Deploy supplemental mobile monitoring during subsequent stagnation episodes."
What's Included
- SKILL.md instruction file with detailed methodology for data validation, metric calculation, and regulatory interpretation:
- AQI Calculation Template: step-by-step framework for converting raw pollutant concentrations to standardized AQI values
- NAAQS Compliance Checklist: systematic reference for all federal ambient air quality standards and state-specific thresholds
- QA/QC Validation Workflow: standardized protocol for flagging data quality issues, instrument drift, and missing values
- Technical Report Framework: formatted template for regulatory submission including methodology, results, quality assurance, and recommendations
Who It's For
- Air quality scientists and environmental engineers analyzing monitoring data for regulatory compliance
- State and local air district staff generating AQI forecasts and public health advisories
- Environmental consultants preparing compliance documentation for PSD, Title V, and NSR air quality projects
- Regulatory affairs professionals interpreting EPA standards and state implementation plan requirements
- Academic researchers and EPA field staff conducting pollution episode investigations and source apportionment studies
Best For
- Processing raw data from continuous and filter-based air quality monitoring networks
- Calculating AQI and NAAQS compliance metrics for regulatory reporting
- Identifying and characterizing pollution episodes and exceedance events
- Validating air quality data with automated QA/QC protocols before regulatory submission
- Generating defensible technical reports for EPA, state regulators, and public disclosure
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