Microscale simulations with horizontal resolution of 6 m are run on a 3D grid taking into account city buildings: about 52000 obstacles with a maximum height of 167 m.
The modelling system currently runs on an extended portion (6 x 7.2 km2) of the city of Torino, Italy.
Bottom-up NOx traffic emissions on the main roads are complemented with diffuse emissions assigned to secondary streets, for a total of about 13000 linear sources.
Meteorological fields are obtained by PSWIFT, a parallelized 3D wind field model for complex terrain which produces a mass-consistent wind field using data from the large scale forecast system QualeAria.
Pollutants dispersion is modelled through a lagrangian 3D model (Parallel Micro Spray) allowing for multi-tiles decomposition of large domain on multi-core machines (Aria Technologies - Arianet).
Other emissions and pollution coming from outside the domain are integrated by means of background NO, NO2 and O3 fields from the QualeAria forecast system.
Comparison with different institutional monitoring sites (background and traffic) shows how well ELISE is capable to reproduce spatial inhomogeneities in NO2 levels typical of the urban environment.
The ELISE AMS is running on a regular workstation with just 16 Intel Xeon computational cores. It is also able to run on low cost and energy efficient ARM clusters.
Modelling of other pollutants, such as PM, benzene, etc. can be easily implemented. Certified or low cost sensors measurements can be assimilated in the modelling system with a near real time approach.
Low cost sensors to measure temperature, humidty and NO2 concentrations. A mobile application enables each user to acccess the data related to the personal daily routes. All sensors data are sent to a centralized server.
A system of models and post-processing tools is used to simulate the dispersion of pollutants at micro-scale on large urban areas.
A powerful tool for decision makers to explore the NO2 concentrations enabling data driven decisions and what-if scenarios.