Diddillibah Air Quality Forecast - Today, Tomorrow

Air Quality Today

Good 16/100

Today (14 October): Air quality in Diddillibah is good. AQI, PM2.5, PM10, NO2, O3, SO2, CO, HCHO, and PM1 are good. Pollution peaks around 7:00 AM (PM1: 23.7/100).

Air Quality Tomorrow

Good 20/100

Tomorrow (15 October 2026): Air quality in Diddillibah is good. All pollutants stay as today. Pollution peaks around 10:00 AM (PM10: 25.6/100).

Updated: 13 October 2026 at 23:58 CEST
Country: Australia

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Routes in Diddillibah

51 routes in Diddillibah

Bracalba Shared Trail 7.1 km Pollen Air quality Cabbage Tree Range Loop 16.1 km Pollen Air quality Goanna Trail 1.7 km Pollen Air quality Oxfam Trailwalker Brisbane 16.2 km Pollen Air quality Piccabeen Circuit 6.8 km Pollen Air quality QUT to New Farm 5.1 km Pollen Air quality Roses circuit 6.4 km Pollen Air quality Seven Hills Circuit 2.2 km Pollen Air quality Sunshine Coast Hinterland Great Walk 47.4 km Pollen Air quality Baringa parkrun 5 km Pollen Air quality Birtinya Island parkrun 5 km Pollen Air quality Brightwater parkrun 5 km Pollen Air quality Brisbane Valley Rail Trail parkrun, Blackbutt 5 km Pollen Air quality Bunyaville parkrun 5 km Pollen Air quality Capalaba parkrun 5 km Pollen Air quality Capestone Lake parkrun 5 km Pollen Air quality Chermside parkrun 5 km Pollen Air quality Coolum Eco parkrun 5 km Pollen Air quality Cormorant Bay parkrun 5 km Pollen Air quality Des Connor Park junior parkrun 2 km Pollen Air quality Glass House Mountains Conservation parkrun 5 km Pollen Air quality Golden Beach parkrun 5 km Pollen Air quality Harmony Boulevard parkrun 5 km Pollen Air quality Harris Avenue parkrun 5 km Pollen Air quality Kawana parkrun 5 km Pollen Air quality Kedron parkrun 5 km Pollen Air quality Kelvin Grove parkrun 5 km Pollen Air quality Lota parkrun 5 km Pollen Air quality Mansfield parkrun, Queensland 5 km Pollen Air quality Minnippi parkrun 5 km Pollen Air quality Mitchelton parkrun 5 km Pollen Air quality Mudjimba Beach parkrun 5 km Pollen Air quality Nathan Road Sports Ground parkrun 5 km Pollen Air quality New Farm parkrun 5 km Pollen Air quality Noosa parkrun 5 km Pollen Air quality North Harbour parkrun 5 km Pollen Air quality North Lakes parkrun 5 km Pollen Air quality Ocean View parkrun 5 km Pollen Air quality Old Esk Railway Station parkrun 5 km Pollen Air quality Parklakes Wetlands parkrun 5 km Pollen Air quality Redcliffe parkrun 5 km Pollen Air quality Samford Parklands parkrun 5 km Pollen Air quality Sandgate parkrun 5 km Pollen Air quality South Bank parkrun 5 km Pollen Air quality St Lucia parkrun 5 km Pollen Air quality Stones Corner parkrun 5 km Pollen Air quality Victory Heights Trail parkrun 5 km Pollen Air quality Wes Mitchell Park parkrun 5 km Pollen Air quality Wynnum parkrun 5 km Pollen Air quality Yowie parkrun 5 km Pollen Air quality Sunshine Coast Marathon Festival 42 km Pollen Air quality

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Air Quality

Today - 14 October

Pollutant Level Value
AQI
Good
16.4/100
PM2.5 (fine particles)
Good
11.6/100
PM10 (coarse particles)
Good
10.5/100
NO2 (nitrogen dioxide)
Good
1.6/100
O3 (ozone)
Good
10.8/100
SO2 (sulfur dioxide)
Good
0.7/100
CO (carbon monoxide)
Good
0.3/100
HCHO (formaldehyde)
Good
3.0/100
PM1 (ultrafine particles)
Good
10.2/100

Tomorrow - 15 October

Pollutant Level Value
AQI
Good
20.0/100
PM2.5 (fine particles)
Good
19.2/100
PM10 (coarse particles)
Good
19.9/100
NO2 (nitrogen dioxide)
Good
0.7/100
O3 (ozone)
Good
10.1/100
SO2 (sulfur dioxide)
Good
0.3/100
CO (carbon monoxide)
Good
0.2/100
HCHO (formaldehyde)
Good
0.7/100
PM1 (ultrafine particles)
Good
3.8/100
ENVIRONMENT & ANALYSIS

Local Environmental Conditions

The heart of Diddillibah lies in a lightly developed area, where local traffic adds relatively little to air pollution. The surrounding woodland releases natural compounds that, in warm sunny weather, help form ozone. Open water nearby lets breezes move freely across the area, helping to disperse pollutants. Pollution carried in from the wider region can also raise levels at times.

Hot afternoons from September to May, averaging 25°C in the warmest month, are when ozone is most likely to build up. From June to August, cooler nights and lighter winds, with temperatures around 17°C, let traffic pollution linger near busy roads. From August to September, dry weather raises the risk of wildfires, and their smoke can cover the area in haze.

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Resource Hub

Pollen forecasts for Diddillibah Mold forecasts for Diddillibah
Air quality forecast neighborhoods 1 neighborhood
Popular Local Routes 9 routes
Local parkruns 41 parkruns
Baringa parkrun 5 km
Pollen Air quality
Birtinya Island parkrun 5 km
Pollen Air quality
Brightwater parkrun 5 km
Pollen Air quality
Brisbane Valley Rail Trail parkrun, Blackbutt 5 km
Pollen Air quality
Bunyaville parkrun 5 km
Pollen Air quality
Local events 1 event

Frequently Asked Questions About Air Quality in Queensland

Is air quality bad in Diddillibah right now?

On 14 October 2026, overall air quality in Diddillibah is good. AQI is the main air quality indicator at 16.4/100. Pollution peaks around 7:00 AM (PM1: 23.7/100).

Will air quality be worse tomorrow in Diddillibah?

On 15 October 2026, air quality conditions in Diddillibah will be similar to today, with AQI forecast at good at 20.0/100. Pollution peaks around 10:00 AM (PM10: 25.6/100).

When is air pollution at its worst in Diddillibah?

Hot afternoons from September to May, averaging 25°C in the warmest month, are when ozone is most likely to build up. From June to August, cooler nights and lighter winds, with temperatures around 17°C, let traffic pollution linger near busy roads. From August to September, dry weather raises the risk of wildfires, and their smoke can cover the area in haze.

Are air quality levels in Diddillibah 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.

Airmine’s atmospheric monitoring platform was developed with support from the European Space Agency (ESA)’s Business Applications and Space Solutions (BASS) team, using satellite and Earth observation technologies to improve emissions monitoring. This page provides the latest public air quality forecast for Diddillibah.

Data provided by Airmine — Last update: 13 October 2026 at 23:58 CEST (Data is updated four times daily.)

Methodology & Technology

Airmine combines satellite observations, weather forecasts and machine learning to forecast pollen, air quality and mold risk. For pollen, vegetation maps and weather data help predict season onset and exposure at 400 × 400 metre resolution. For air quality, we refine Copernicus CAMS forecasts using local factors such as roads, emissions and terrain. For routes, data is updated dynamically to provide accurate exposure metrics along the specific race corridor coordinates.

Our models are calibrated against millions of professional monitoring records and updated four times daily as new data becomes available.

Unless stated otherwise, this content is Airmine’s sole responsibility and has not been paid for by external organisations.

Disclaimer

The information provided is for environmental awareness only and does not constitute medical advice. Athletes with known respiratory conditions or severe allergies should consult their physician before participating in strenuous outdoor activities based on these forecasts.

Some text on this page may be generated or summarised using artificial intelligence (AI). Wherever possible, AI-generated content is enriched with Airmine's proprietary data to improve its accuracy and relevance. However, AI-generated content may still contain errors, omissions, or inaccuracies.