Indicative hourly PM2.5 observations from NSW DCCEEW.
New South Wales · -35.1041, 147.3604 · observed · Indicative sensor
Official NSW DCCEEW station page
4.0 µg/m³ is Good on the one-hour PM2.5 air quality scale. Current hourly reading.
The sensor belongs to NSW DCCEEW. NSW DCCEEW publishes this site as indicative: it increases spatial coverage but can be more variable and is not a NATA-accredited reference measurement. Use this reading as a guide rather than a precise measurement.
The category applies only to the latest one-hour reading. It follows the Australian enHealth framework used by agencies including NSW, Victoria and Queensland. The NowCast and rolling mean are separately labelled derived concentrations. How the categories are used.
No agency fire incidents are currently reported within 150 km of this location. There is also 1 planned or registered burn.
Incident: HAZARD REDUCTION BURN - STROMLO
Location: RIVERVIEW COTTAGE, COTTER ROAD, STROMLO, 2611
Status: Resource Allocation Pending
Suburb: STROMLO
Type: HAZARD REDUCTION BURN
Agency: Fire
Incident Number: 013105-14082026
Updated: 19 Aug 2026 23:24:36.053
Time of Call: 14 Aug 2026 11:29:02
Straight-line distance from the Wagga Wagga North2 monitor to the reported incident location, or to the mapped fire boundary where an agency has published one. A fire without a published boundary may extend closer than its reported location suggests.
Observed values come from this monitor. NASA GEOS-CF, CAMS and SILAM are independent total surface PM2.5 research forecasts sampled from their nearest grid cells; they are not blended with the observations.
| Model | 48-hour peak | Category | Peak around |
|---|---|---|---|
| NASA GEOS-CF | 7.5 µg/m³ | Good | 27 Aug, 10:30 AM AEST |
| CAMS | 7.8 µg/m³ | Good | 28 Aug, 7:00 AM AEST |
| FMI SILAM | 7.0 µg/m³ | Good | 29 Aug, 10:00 AM AEST |
| Observed local | PM2.5 µg/m³ | Air quality |
|---|---|---|
| 27 Aug, 9:00 AM AEST | 4.0 | Good |
| 27 Aug, 8:00 AM AEST | 5.0 | Good |
| 27 Aug, 7:00 AM AEST | 14.0 | Fair |
| 27 Aug, 6:00 AM AEST | 4.0 | Good |
| 27 Aug, 5:00 AM AEST | 5.0 | Good |
| 27 Aug, 4:00 AM AEST | 7.0 | Good |
| 27 Aug, 3:00 AM AEST | 4.0 | Good |
| 27 Aug, 2:00 AM AEST | 9.0 | Good |
| 27 Aug, 1:00 AM AEST | 6.0 | Good |
| 27 Aug, 12:00 AM AEST | 4.0 | Good |
| 26 Aug, 11:00 PM AEST | 3.0 | Good |
| 26 Aug, 10:00 PM AEST | 7.0 | Good |
| 26 Aug, 9:00 PM AEST | 1.0 | Good |
| 26 Aug, 8:00 PM AEST | 1.0 | Good |
| 26 Aug, 7:00 PM AEST | 1.0 | Good |
| 26 Aug, 6:00 PM AEST | 1.0 | Good |
| 26 Aug, 5:00 PM AEST | 2.0 | Good |
| 26 Aug, 4:00 PM AEST | 2.0 | Good |
| 26 Aug, 3:00 PM AEST | 2.0 | Good |
| 26 Aug, 2:00 PM AEST | 4.0 | Good |
| 26 Aug, 1:00 PM AEST | 5.0 | Good |
| 26 Aug, 12:00 PM AEST | 3.0 | Good |
| 26 Aug, 11:00 AM AEST | 3.0 | Good |
| 26 Aug, 10:00 AM AEST | 4.0 | Good |
| 26 Aug, 9:00 AM AEST | 7.0 | Good |
| 26 Aug, 8:00 AM AEST | 6.0 | Good |
| 26 Aug, 7:00 AM AEST | 4.0 | Good |
| 26 Aug, 6:00 AM AEST | 4.0 | Good |
| 26 Aug, 5:00 AM AEST | 6.0 | Good |
| 26 Aug, 4:00 AM AEST | 8.0 | Good |
| 26 Aug, 3:00 AM AEST | 7.0 | Good |
| 26 Aug, 2:00 AM AEST | 12.0 | Good |
| 26 Aug, 1:00 AM AEST | 9.0 | Good |
| 26 Aug, 12:00 AM AEST | 11.0 | Good |
| 25 Aug, 11:00 PM AEST | 6.0 | Good |
| 25 Aug, 10:00 PM AEST | 2.0 | Good |
| 25 Aug, 9:00 PM AEST | 3.0 | Good |
| 25 Aug, 8:00 PM AEST | 5.0 | Good |
| 25 Aug, 7:00 PM AEST | 5.0 | Good |
| 25 Aug, 6:00 PM AEST | 5.0 | Good |
| 25 Aug, 5:00 PM AEST | 2.0 | Good |
| 25 Aug, 4:00 PM AEST | 2.0 | Good |
| 25 Aug, 3:00 PM AEST | 2.0 | Good |
| 25 Aug, 2:00 PM AEST | 3.0 | Good |
| 25 Aug, 1:00 PM AEST | 2.0 | Good |
| 25 Aug, 12:00 PM AEST | 2.0 | Good |
| 25 Aug, 11:00 AM AEST | 2.0 | Good |
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