About the project

The objective of the project is to increase the accuracy of the air pollution and health risk forecasts. The current system relies on deterministic meteorological dispersion modelling to forecast impacts of emissions on concentrations. One of the main uncertainties is to forecast emissions from road traffic that is a dominant source of air pollution in urban environment. In this project, emissions are calculated based on detailed information on the vehicle fleet composition and emission factors. In addition, a novel, innovative data-driven deep learning model will be developed and integrated with the air pollution and traffic modelling processes. The aim is to improve both the forecast of air pollutants, pollen and AQHI for the whole Greater Stockholm area.


Air pollution is one of the leading causes of mortality worldwide. Acute effects of air pollution are due to short-term exposures that can lead to reduced lung function, respiratory infections and aggravated asthma. Public information regarding the expected health risks associated with current or forecasted concentrations of pollutants and pollen can be very useful for sensitive persons when planning their outdoor activities. Predicting traffic emissions and induced air pollution has been an activity of high priority in the agenda of transport authorities and municipalities The project will also contribute to the use of artificial intelligence identified as a key priority of the city of Stockholm and the SMart URBan Solutions (SMURBS; http://smurbs.eu/), a EU project involving several European cities with the overall aim to provide solutions based on Earth Observations that make cities more smart and sustainable.

Cross-disciplinary collaboration

The researchers in the team represent the Department of Environmental Science, SU and the School of industrial engineering and management, KTH

Contact information

Visiting addresses:

Geovetenskapens Hus,
Svante Arrhenius väg 8, Stockholm

Arrheniuslaboratoriet, Svante Arrhenius väg 16, Stockholm (Unit for Toxicological Chemistry)

Mailing address:
Department of Environmental Science
Stockholm University
106 91 Stockholm

Press enquiries should be directed to:

Stella Papadopoulou
Science Communicator
Phone +46 (0)8 674 70 11

Project Info

Project start: 2021

Funded by

ICT – The next generation and Digital future at KTH Royal Institute of Technology (contract VF 2021-0082)

Projects links

This Project is part of Research topic