CLEAR county synthesis: PITKIN

Stored model output

# 1. Executive screening summary

Pitkin County has an annual maximum AQI of 76, with no unhealthy or unhealthy for sensitive groups days reported. The average PM2.5 concentration is 4.366 µg/m³, based on 203 monitoring days. Ozone data is not available for the county. The highest PM2.5 AQI recorded was 76, occurring on July 23, 2024. There are three facilities identified in the dataset, with no evidence of ozone monitoring activity.

# 2. Industrial profile

Pitkin County has three identified facilities, with three distinct owners: JACONUEL CORP, PITKIN IRON CORP, and SNOWMASS COAL. The NAICS codes associated with these facilities are 212210 and 213113. The top zip code with facility activity is 81623, followed by 81611 and 81615. The dataset includes facility candidates but does not provide detailed emissions or permit violation data.

# 3. PM2.5 and ozone signal

PM2.5 data is available, with an average of 4.366 µg/m³ over 203 monitoring days. No ozone data is present in the dataset, and no ozone-related AQI values are reported. The county did not experience any days with unhealthy or unhealthy for sensitive groups air quality.

# 4. Highest PM2.5 dates

The highest PM2.5 AQI of 76 occurred on July 23, 2024, with an average arithmetic mean of 22.71 µg/m³. Subsequent high PM2.5 days include July 24, 2024 (AQI 73), July 25, 2024 (AQI 60), October 5, 2024 (AQI 60), and July 22, 2024 (AQI 58). These dates show a pattern of elevated PM2.5 levels, though not reaching unhealthy levels.

# 5. Confounders and missing data

Potential confounders include wildfire smoke, regional transport, meteorology, temperature inversion, agricultural dust, oil and gas activity, traffic, and monitor siting limitations. Missing data includes facility-level emissions, permit violation records, hospitalization data, wind and smoke data, and no causal models or source apportionment have been performed.

# 6. What cannot be concluded

No conclusions can be drawn regarding causation, permit violations, enforcement priorities, compliance status, or health impacts. The dataset does not support these inferences due to the lack of structured permit violation records, hospitalization data, and causal modeling.

# 7. Recommended next data pulls and policy addendum candidates

Additional data pulls should include facility-level emissions, structured permit violation records, hospitalization data, and wind/smoke data. Policy addendum candidates may focus on improving air quality monitoring, enhancing data integration, and addressing potential sources of PM2.5 in the county.

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