Air quality

Environment: weather from openweather, air quality from irceline

Format: GeoJSON
Updates: Every 5 minutes
Latest snapshot: 2 Nov 2026, 22:36 UTC
Snapshots stored: about 207,005

curl -H "Authorization: Bearer $MOBILITYTWIN_TOKEN" "https://api.mobilitytwin.brussels/environment/air-quality"

Get a token

Air quality measurements in Brussels from Irceline (SOS).

Which days have data

Data from 21 Aug 2024 to 2 Nov 2026, on 799 days. 30 of the last 30 days have data. A typical day holds 264 snapshots. Days are in UTC.

2026

JanFebMarAprMayJunJulAugSepOctNovDec

2025

JanFebMarAprMayJunJulAugSepOctNovDec

2024

JanFebMarAprMayJunJulAugSepOctNovDec

Full day
Partial, 50–90% of a typical day
Low, under 50%
No snapshot
Not expected

Get a day

Click a day above, or pick a date, to get its requests.

Parameters

Name	Meaning
`timestamp`	Return the last snapshot at or before this moment, in Unix seconds or ISO 8601 (e.g. `2026-05-06T12:00:00Z`). Without it, the latest snapshot is returned.

Response fields

A GeoJSON FeatureCollection. Field names without a prefix are in each feature's properties.

Field	Type
`firstValue.timestamp`	integer
`firstValue.value`	null or number
`id`	string
`label`	string
`lastValue.timestamp`	integer
`lastValue.value`	null or number
`parameters.category.id`	string
`parameters.category.label`	string
`parameters.feature.id`	string
`parameters.feature.label`	string
`parameters.offering.id`	string
`parameters.offering.label`	string
`parameters.phenomenon.id`	string
`parameters.phenomenon.label`	string
`parameters.procedure.id`	string
`parameters.procedure.label`	string
`station.properties.id`	integer
`station.properties.label`	string
`uom`	string

Python example

import requests
import geopandas as gpd

from datetime import datetime, timedelta, timezone

yesterday_noon = (datetime.now(timezone.utc) - timedelta(days=1)).replace(
    hour=12, minute=0, second=0, microsecond=0
)
params = {
    "timestamp": yesterday_noon.isoformat(),   # ISO accepted; epoch also works
}

url = "https://api.mobilitytwin.brussels/environment/air-quality"

data = requests.get(url, headers={
        'Authorization': 'Bearer [MY_API_KEY]'
}, params=params).json()

gdf = gpd.GeoDataFrame.from_features(data["features"])

# One feature per station and pollutant: keep nitrogen dioxide
no2 = gdf[gdf['parameters.phenomenon.label'] == 'Nitrogen dioxide']
for _, series in no2.head(10).iterrows():
    print(f"{series['station.properties.label']}: {series['lastValue.value']} {series['uom']}")

# Plot the monitoring stations by their latest NO2 value
no2.plot(figsize=(10, 8), column='lastValue.value', legend=True, markersize=20, cmap='RdYlGn_r')