AQMesh co-location comparison trial results for O3 in Western Europe (V4.2.3)
|Correlation co-efficient (R2)||0.92|
|AQMesh processing algorithm||V4.2.3|
|Averaged sample interval||1 hour|
All comparison trials are from regularly maintained reference stations. Not all are specifically identified due to the administrative overhead of getting permission to name data sources. We do not always use ratified reference data to avoid delays in analysis but re-running the comparison analysis after data ratification often improves correlation.
AQMesh co-location comparison trial results for O3 in Minnesota, USA (V4.2.3)
AQMesh co-location comparison trial results for NO2 in California, USA (V5.0)
AQMesh co-location comparison trial results for NO2 in Minnesota, USA (V4.2.3)
AQMesh co-location comparison trial results for PM2.5 in Minnesota, USA (V3.0)
AQMesh co-location comparison trial results for PM2.5 in Halifax, Canada (V3.0h)
A wide range of private, academic and public organisations across the globe are currently using AQMesh
Whilst some manufacturers use a calculation to give an NO2 reading, the AQMesh air quality monitoring system uses a unique O3-filtered NO2 sensor for accurate, direct measurement of NO2.
AQMesh air quality monitors require very little maintenance and there is a very low ongoing cost. All we recommend is the electrochemical sensors are replaced every two years, and we replace all sensors for free during the first year.
The AQMesh air quality monitoring system has been on the market and in the field since 2012, with some customers still successfully operating the exact same pods they received nine years ago.
The AQMesh air quality monitoring system processes and stores all readings on its bespoke secure server which can be accessed by a website login or API to integrate with other systems, or it can be simple emailed to you at your preferred schedule.
The carefully developed data processing algorithms used by AQMesh outdoor air quality monitors are fully traceable and fixed by version number, and, unlike other systems, have been achieved with no use of machine learning or artificial intelligence.