🌍 Environment, Climate & Water · Data Flow
City Air Quality Monitoring
How a city measures and publishes air quality: reference stations and low-cost sensors, calibration, AQI calculation and public alerts.
Drawing diagram…
What this diagram shows
- Low-cost sensors are calibrated against reference stations
- AQI is calculated from the worst pollutant
- Poor air quality triggers health advisories
Prompt used
Air quality data flow: continuous ambient air quality monitoring stations and a network of low-cost sensors send PM2.5, PM10, NO2, SO2 and ozone readings every 15 minutes. A calibration service corrects low-cost sensor readings using nearby reference stations. The AQI engine computes the National AQI per location. Results are published on a public map and app, and when AQI is Poor or worse, health advisories go out and the pollution control board is alerted.
Mermaid code
flowchart LR REF[Reference Stations] -->|Pollutant readings| COL[Data Collector] LCS[Low-cost Sensors] -->|Readings every 15 min| COL COL -->|Raw readings| CAL[Calibration] REF -->|Reference values| CAL CAL -->|Corrected readings| DB[(Air Quality DB)] DB -->|Pollutant averages| AQI[AQI Engine] AQI -->|AQI by location| MAP[Public Map and App] AQI -->|Poor or worse| ADV[Health Advisories] AQI -->|Exceedances| PCB[Pollution Control Board]
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