Accelerating AI, empowering societies
Within the wide range of possibilities for services that use air quality data, the researchers have discussed two applications that benefit from the calibration procedure.
“We addressed the desire for real-time services from the municipality through exploration of a warning system for prediction of pollution peaks in the next 24 hours, and visualisation techniques with spatial and temporal patterns of the air quality measurements,” says Akselsen.
For Trondheim municipality, this work has provided insights for building improved air quality services that could lead to better decision-making support and the realisation of new digital health and safety solutions.
“We believe many groups will benefit from accessing better air quality data. For example, individuals can better assess if there’s a risk connected to current or future air quality, while decision-makers can more adequately consider when and where to perform cleaning actions,” says Thea Berg Lauvsnes, department head of environmental health and pollution in Trondheim Municipality.