CLEAR county synthesis: WELD

Stored model output

# 1. Executive screening summary

Weld County has an annual maximum AQI of 164, with the highest ozone AQI reaching 164 on July 24, 2024. The average PM2.5 concentration is 7.431 µg/m³, and the maximum PM2.5 AQI is 104. There were 366 days with AQI data recorded, including 2 unhealthy days and 19 days with unhealthy air for sensitive groups. The county has 726 facility candidates, with 24 distinct NAICS codes and 96 distinct facility owners.

# 2. Industrial profile

The top facility owners in Weld County include "NOBLE ENERGY, INC." with 345 distinct APCD IDs, "KERR-MCGEE OIL & GAS ONSHORE LP" with 165 distinct APCD IDs, and "PETROLEUM DEVELOPMENT CORP." with 30 distinct APCD IDs. The top NAICS code is 211130, representing 656 facility candidates, followed by 212321 with 16 candidates and 562910 with 7 candidates. The most frequently reported zip codes are 80644, 80645, and 80631, with high facility candidate activity in these areas.

# 3. PM2.5 and ozone signal

PM2.5 and ozone data were collected over 366 days, with 1199 PM2.5 rows and 1355 ozone rows. The highest ozone AQI of 164 was recorded on July 24, 2024, at three different monitoring sites. The average ozone concentration for that day was 0.067118 ppm, 0.09 ppm, and 0.071059 ppm, respectively. The maximum PM2.5 AQI was 104, with an average PM2.5 concentration of 7.431 µg/m³.

# 4. Highest PM2.5 dates

The highest PM2.5 levels occurred on July 23, 2024, with an average arithmetic mean of 31.785 µg/m³, and July 24, 2024, with an average of 28.479 µg/m³. Other notable high PM2.5 days include July 22, 2024, with an average of 24.291 µg/m³, and July 31, 2024, with an average of 21.105 µg/m³. These dates show elevated PM2.5 levels, though not reaching the maximum AQI of 104 on all days.

# 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 include facility-level emissions not yet parsed, permit violation records not yet structured, hospitalization data not yet loaded, wind and 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 these inferences.

# 7. Recommended next data pulls and policy addendum candidates

Further data pulls should include facility-level emissions, permit violation records, hospitalization data, and wind/smoke data. Policy addendum candidates may focus on industrial activity, air quality monitoring, and environmental health considerations, pending additional data.

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