Reported by World Air Quality Index today.
It is the strongest of the 20 detections recorded within 20 km of this point since 19 March 2026. The last comparable one was on 16 August 2026.
What the source measured
World Air Quality Index reported: AQI 155 (Unhealthy) at 荔湾芳村, (广州市荔湾芳村)
The air quality index read 155 (Unhealthy) at the 荔湾芳村, (广州市荔湾芳村) station.
An estimated 810,947 people live within 5 km of this point.
This is the lowest air quality index we have recorded at this point, over 7 readings since 11 August 2026 — the previous range was 155 to 157.
How we know
One source: World Air Quality Index. Not yet confirmed by a second, independent source.
Our own score for this event is 55 out of 100, at 66 % confidence.
The score is ours, computed from intensity, exposed population and local history — not the source’s.
Event Data
| Type | Air quality |
| Severity | medium |
| Calamity Score (ours) | 55 / 100 |
| Our confidence | 66% |
| Coordinates | 23.0800, 113.2358 |
| Nearest City | Guangzhou (5 km) |
| Population Exposed | 810.9K within 5 km |
| Impact Tier | significant |
| Timestamp | 2026-09-01T14:00:00.000Z |
| Source | https://aqicn.org/city/@14260 |
Score Breakdown
Technical Details
| Aqi | 155 |
| AqiCategory | Unhealthy |
| StationName | 荔湾芳村, (广州市荔湾芳村) |
| StationUid | 14260 |
Safety Information
When air quality is hazardous: stay indoors with windows closed, and run a filtered air purifier if you have one. Avoid outdoor exercise. Children, older adults and anyone with heart or lung conditions are affected first and worst — an N95 respirator helps outdoors, a cloth mask does not.
Series begins 10 February 2026. Comparisons refer to that period only. Collection gap: 14-26 August 2026.
This data is aggregated algorithmically from scientific sources. Not a replacement for official emergency warnings.
Want to know when something happens near Guangzhou?
Calamity.live data shows a air quality event with CalamityScore 55/100, near Guangzhou (China), based on data from waqi. Source: Calamity.live, a platform aggregating real-time data from 188 scientific monitoring sources.