Simulation
Tools for simulation and forecasting the state of the air environment
CityAir’s numerical calculations of air quality provide insights which are impossible to get as a result of direct measurements
Simulation provides:
3.
Identification of pollution sources
1.
Air pollution heatmap
4.
Selection of the optimal configuration of the monitoring network
2.
Air pollution forecast for 72 hours
5.
Simulation of how urban developers’ decisions influence air quality
Simulation
Simulation provides:
1.
Air pollution heatmap
2.
Air pollution forecast for 72 hours
3.
Identification of pollution sources
4.
Selection of the optimal configuration of the monitoring network
5.
Simulation of how urban developers’ decisions influence air quality
Our simulation technologies
1.
The models we use take into account local topography and allow to achieve high accuracy of forecasts
2.
The simulation is based on the forecast of the wind velocity field (GFS, WRF) and data on the main emissions sources
3.
Data from CityAir’s own monitoring posts and a number of data from other available sources are used to train and refine physical models in a specified area