CLEAR county synthesis: MESA

Stored model output

# 1. Executive screening summary

The county of MESA has an annual maximum AQI of 136, which corresponds to the maximum ozone AQI. The average PM2.5 concentration is 4.933 µg/m³, and the maximum PM2.5 AQI recorded is 92. There were 366 days with AQI data, including 7 days classified as unhealthy for sensitive groups. No days were classified as unhealthy. Ozone data was collected over 365 days, with 543 ozone-related records, and PM2.5 data was collected over 366 days, with 730 PM2.5-related records.

# 2. Industrial profile

MESA has 58 facility candidates, with 32 distinct owners and 11 distinct NAICS codes. The top facility owners include "TOM BROWN, INC" with 20 facility candidates, "ELAM CONSTRUCTION INC" with 4, and "GASCO INC C/O KN ENERGY" with 3. The top NAICS codes are 211130, 212321, and 213112, each associated with a significant number of facility candidates.

# 3. PM2.5 and ozone signal

The highest AQI for ozone was 136, recorded on July 22 and 23, 2024, with arithmetic means of 0.075765 and 0.066588 ppm, respectively. The highest PM2.5 AQI was 92, recorded on October 6, 2024, with an average arithmetic mean of 30.90625 µg/m³. The county has no days classified as unhealthy, but there were 7 days classified as unhealthy for sensitive groups.

# 4. Highest PM2.5 dates

The highest PM2.5 AQI occurred on October 6, 2024, with an average arithmetic mean of 30.90625 µg/m³. Other high PM2.5 days include October 7, 2024, with an average of 24.045 µg/m³, and July 23, 2024, with an average of 17.631 µg/m³. These dates show 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, diesel corridors, monitor siting limitations, and seasonal patterns. Missing data includes facility-level emissions, permit violation records, hospitalization data, wind and smoke data, causal models, and source apportionment.

# 6. What cannot be concluded

No conclusions can be drawn regarding causation, permit violations, enforcement priorities, compliance status, or health attribution. The data provided does not support these inferences.

# 7. Recommended next data pulls and policy addendum candidates

Additional data pulls should include facility-level emissions, structured permit violation records, hospitalization data, wind and smoke data, and source apportionment. Policy addendum candidates may include further monitoring, emissions reporting, and regional air quality collaboration.

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