Yai Heki Regional Indian Museum, March Air Force Base Air Quality Forecast - Today, Tomorrow
Air Quality Today
Today (6 October): Air quality in Yai Heki Regional Indian Museum is poor. AQI and PM10 are poor; PM2.5 is moderate; O3 is fair; NO2, SO2, CO, HCHO, and PM1 are good. Pollution peaks around 3:00 PM (PM10: 73.9/100).
Air Quality Tomorrow
Tomorrow (7 October 2026): Air quality in Yai Heki Regional Indian Museum is moderate. AQI improves to moderate; PM2.5 decreases to fair; PM10 decreases to moderate; all other pollutants stay as today. Pollution peaks around 7:00 AM (PM10: 43.2/100).
Explore Forecasts
Get More in Our App
Local pollen and air quality forecasts, interactive pollen maps and route profiles
Features and forecast availability vary by region.
Air Quality
Today - 6 October
| Pollen species | Level | Value |
|---|---|---|
| AQI | Poor | 73.9/100 |
| PM2.5 (fine particles) | Moderate | 42.2/100 |
| PM10 (coarse particles) | Poor | 73.9/100 |
| NO2 (nitrogen dioxide) | Good | 5.7/100 |
| O3 (ozone) | Fair | 20.5/100 |
| SO2 (sulfur dioxide) | Good | 1.2/100 |
| CO (carbon monoxide) | Good | 0.4/100 |
| HCHO (formaldehyde) | Good | 0.9/100 |
| PM1 (ultrafine particles) | Good | 3.3/100 |
Tomorrow - 7 October
| Pollen species | Level | Value |
|---|---|---|
| AQI | Moderate | 43.2/100 |
| PM2.5 (fine particles) | Fair | 26.0/100 |
| PM10 (coarse particles) | Moderate | 43.2/100 |
| NO2 (nitrogen dioxide) | Good | 9.0/100 |
| O3 (ozone) | Fair | 20.7/100 |
| SO2 (sulfur dioxide) | Good | 3.0/100 |
| CO (carbon monoxide) | Good | 0.4/100 |
| HCHO (formaldehyde) | Good | 2.4/100 |
| PM1 (ultrafine particles) | Good | 6.9/100 |
Local Environmental Conditions
With little dense development around this site in March Air Force Base, local traffic emissions are modest. In this dry landscape, strong winds readily lift dust and sand into the air. Air arriving from elsewhere in the region adds to what is produced locally. Exhaust from nearby roads is usually highest close to busy streets and junctions.
Hot afternoons from June to September, averaging 26°C in the warmest month, are when ozone is most likely to build up. In the mildest months, January to March, calmer nights at around 11°C allow traffic pollution to build up near the ground. Wildfire season runs roughly from April to October, when smoke from fires, near or far, can bring hazy days and very poor air quality.
Get pollen & AQ on Strava
Follow your environmental exposure and performance with the free Airmine-Strava integration. See your pollen and air quality exposure for every Strava activity.
Resource Hub
Frequently Asked Questions About Air Quality in California
Is air quality bad in Yai Heki Regional Indian Museum right now?
On 6 October 2026, overall air quality in Yai Heki Regional Indian Museum is poor. AQI is the main air quality indicator at 73.9/100. Pollution peaks around 3:00 PM (PM10: 73.9/100).
Will air quality be worse tomorrow in Yai Heki Regional Indian Museum?
On 7 October 2026, air quality conditions in Yai Heki Regional Indian Museum will be better than today, with AQI forecast at moderate at 43.2/100. Pollution peaks around 7:00 AM (PM10: 43.2/100).
When is air pollution at its worst in Yai Heki Regional Indian Museum?
Hot afternoons from June to September, averaging 26°C in the warmest month, are when ozone is most likely to build up. In the mildest months, January to March, calmer nights at around 11°C allow traffic pollution to build up near the ground. Wildfire season runs roughly from April to October, when smoke from fires, near or far, can bring hazy days and very poor air quality.
Are air quality levels in Yai Heki Regional Indian Museum based on measurements or forecasts?
It is forecasts derived by downscaling forecasts provided by EU’s Copernicus Atmosphere Monitoring Service (CAMS) by taking into account local conditions such as traffic patterns. CAMS bases its forecast on satellite measurements of particles and chemical compounds in the atmosphere. Airmine’s services were developed with support from the European Space Agency (ESA)’s Business Applications and Space Solutions (BASS) team.
Why doesn’t the forecast always reflect wildfire impacts?
Airmine’s forecast uses CAMS (Copernicus Atmosphere Monitoring Service) as its background atmospheric model. While CAMS includes wildfire emissions, these are derived from satellite observations and are not available in real time. During rapidly evolving wildfire events, there may therefore be a delay before increased emissions are incorporated into the model. As a result, the forecast may temporarily underestimate PM₂.₅ and other pollutants associated with wildfire smoke.
During rapidly evolving wildfire events, CAMS may lag by approximately 1–2 days before increased wildfire emissions are fully represented, which can lead to temporary underestimation of PM₂.₅ concentrations in Airmine’s forecast.
Understanding the Scale
The 0–100 air quality scores represent risk levels, not direct air pollutant concentrations. Higher scores indicate higher risk.
Air Quality
| Good | 0-20 | Low air quality risk. Air quality is expected to be good, with low levels of pollution. |
| Fair | 20-40 | Generally low air quality risk. Air quality is expected to be acceptable, with some pollution present. |
| Moderate | 40-60 | Moderate air quality risk. Air pollution is elevated and air quality may be less favorable. |
| Poor | 60-80 | High air quality risk. Air pollution is high and air quality is expected to be poor. |
| Very Poor | 80-100 | Very high air quality risk. Air pollution is very high and air quality is expected to be very poor. |