Air Quality Index
Background
Air Quality - Telemetric network of Luxembourg
Description
(from data.public.lu with kind permission)
The telemetric network comprises fixed and mobile measuring stations across Luxembourg, in rural, urban and urban-traffic areas. The network measures air quality in real time and tracks changes in levels of the main pollutants, including nitrogen dioxide, ozone and fine particles. This network serves as a basis for informing and alerting the population, especially sensitive individuals, in the event of pollution peaks. An air quality application has also been developed as part of the drive to improve public information. See here for full details.
Notable websites:
Open Data - https://data.public.lu/fr/datasets/air-quality-telemetric-network/
Emwelt.lu - https://environnement.public.lu/fr/loft/air/mesures/mesures-actuelles.html
App Meng Loft - https://apps.apple.com/lu/app/meng-loft/id1378230253?l=en
Datasets
The original data is located on the Luxembourg Open Data Platform here, published daily by the Administration de l'environnement.
However, the data is published daily as individual files. As we don’t have access to a full historized dataset (or direct access via API) we need to collect the data and assemble it and create our own time series dataset. Thanks to Dzidas Mart (LinkedIn) who developed a Python script (Thanks!) which allows us to automatically download each daily file and save it as one.
We at the Data Studio did it this week producing nearly 1 Mio records covering several years of data. For the convenience of this exercise we have produced a subset of the data limited to 2023, and also added the postcodes of the location of the sensors which allows us to easily add the location on a map - albeit not 100% correct Geocoded it gives already a good idea where they are located.
Download the datasets:
Dataset 2023 (5MB Tip take this one to speedup development and switch later to the full dataset ;)
Dashboard
We’ll publish our version of the dashboard soon - after doing some homework how to correctly analyse, interpret and display environmental data such as nitrogen dioxide, ozone and fine particles. Recommendations welcome!
Enjoy!
Screenshot of the data
Quick view of the location of the sensors
