CLEAR county synthesis: EL PASO

Stored model output

# 1. Executive screening summary

The county of El Paso recorded an annual maximum AQI of 166, driven by ozone levels on July 24, 2024, with an arithmetic mean of 0.077647. PM2.5 levels reached a maximum AQI of 89. There were 2 unhealthy days and 12 days classified as unhealthy for sensitive groups. The county had 366 days of ozone monitoring and 362 days of PM2.5 monitoring. A total of 19 facilities were identified as candidates for further review.

# 2. Industrial profile

The top facility owners in El Paso include "BOOTH READY MIX," "CAPSTAN MINING," and "COLORADO FORGE CORP." The most common NAICS codes among the facilities are 212112, 212321, and 212322. These codes suggest activity in mining, oil and gas extraction, and related support activities. The facilities are distributed across multiple zip codes, with the highest number of candidate facilities in zip code 80903.

# 3. PM2.5 and ozone signal

Ozone levels reached a maximum AQI of 166 on July 24, 2024, with an arithmetic mean of 0.077647. PM2.5 levels reached a maximum AQI of 89. The county had 725 ozone observations and 721 PM2.5 observations over the year. The average PM2.5 concentration was 5.697 µg/m³.

# 4. Highest PM2.5 dates

The highest PM2.5 levels occurred on July 23, 2024, with an average arithmetic mean of 29.73 µg/m³, and on July 24, 2024, with an average arithmetic mean of 26.41 µg/m³. These dates also corresponded to AQI values of 89 and 83, respectively. Other high PM2.5 days included July 22, 2024, and July 25, 2024, with AQI values of 80 and 77, respectively.

# 5. Confounders and missing data

Potential confounders include wildfire smoke, regional transport, meteorology, wind direction, temperature inversion, agricultural dust, oil and gas activity, traffic/diesel corridors, monitor siting limitations, and seasonal patterns. Missing data include facility-level emissions not yet parsed, permit violation records not yet structured, hospitalization data not yet loaded, wind/smoke data not yet loaded, no causal model fitted, and no source apportionment performed.

# 6. What cannot be concluded

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

# 7. Recommended next data pulls and policy addendum candidates

Further data pulls should include facility-level emissions data, structured permit violation records, hospitalization data, and wind/smoke data. Policy addendum candidates may include additional monitoring, source apportionment studies, and analysis of regional transport effects.

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