CLEAR county synthesis: DOUGLAS

Stored model output

# 1. Executive screening summary

The county of Douglas has an annual maximum AQI of 166, with ozone contributing to the highest AQI value of 166 on multiple days in July 2024. PM2.5 levels reached a maximum AQI of 87. The county recorded 363 days with AQI values, including 4 unhealthy days and 21 days with unhealthy air for sensitive groups. Annual average PM2.5 levels were 4.516 µg/m³, and average ozone levels were 0.04251 ppm. The data includes 724 PM2.5 rows and 360 ozone rows across the year.

# 2. Industrial profile

Douglas has 55 facility candidates, with 49 unique facility owners and 20 distinct NAICS codes. The top facility owners include LAFARGE WEST, INC., SCHMIDT CONSTRUCTION COMPANY, and MK FERGUSON CO. The top NAICS codes are 212321, 327320, and 324121. The county has 55 geocoded facilities, with 55 facilities having zip codes. The top zip codes with the most facility candidates are 80221, 80126, and 80112.

# 3. PM2.5 and ozone signal

PM2.5 data shows an annual average of 4.516 µg/m³, with 366 monitoring days and 724 PM2.5 rows. Ozone data shows an annual average of 0.04251 ppm, with 360 monitoring days and 360 ozone rows. The highest ozone AQI of 166 was recorded on July 22, 23, and 24, 2024, with corresponding ozone levels of 0.073235, 0.078471, and 0.075353 ppm.

# 4. Highest PM2.5 dates

The highest PM2.5 AQI of 87 occurred on July 23, 2024, with an average arithmetic mean of 28.30625 µg/m³. Other high PM2.5 days include July 24 (AQI 82, mean 25.8291665 µg/m³), July 22 (AQI 75, mean 22.1166665 µg/m³), January 20 (AQI 74, mean 21.7479165 µg/m³), and July 31 (AQI 74, mean 21.3020835 µg/m³).

# 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 does not support a causal relationship between industrial activity and air quality metrics.

# 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 addendums could focus on monitoring improvements, regional air quality coordination, and industrial activity assessments.

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