Air quality and climate

By means of the most advanced numerical simulation algorithms, we provide solutions about every issue related to air quality: the impact of new emission sources like roads, construction sites, industrial plants and any critical facility.

Our expertise also covers data analysis, computational fluid dynamics (CFD) and numerical methods applied to problems such as meteorology, micro-climate and thermal comfort.

Pollutants dispersion in complex orography.

Dispersion

Simulation of dispersion of pollutants emitted in the atmosphere by:

  • Industrial sources;
  • Civil sources;
  • Construction sites;
  • Road traffic.

Pollution scenarios.

Air quality and future scenarios

Air quality assessment on regional scale as an integration of measured data. Definition of alternative emission scenarios and comparison of improving effects on air quality.

Environmental Impact Assessment example.

Environmental Impact Assessment

Execution of studies related to the atmospheric component of Environmental Impact Assessment (EIA) procedures.

Microscale test case.

Micro-scale dispersion

Dispersion studies on very small scale, in industrial or urban environment, to assess continuous or accidental releases, taking into account the details of the buildings and obstacles effects as well as orography.

Emission inventroy pie plot.

Emission inventories

Collection, analysis and post processing of information to compile and update emission inventories .

Micro-climate map.

Microclimate

Analysis of the local microclimate by computational fluid dynamics (CFD). It allows for the assessment of different architectural solutions in a give urban site, in terms of meteorological quantities and parameters for the evaluation of thermal comfort.

Two plots: on the left daily windrose; on the right nighyly wind rose.

Analysis of meteorological data

Analysis of site specific meteorological data to optimize wind farms siting and to estimate their wind energy potential, by integrating measurement data with three dimensional models.

Data analysis.

Analysis and post processing

Analysis and post processing of experimental site specific data and their interpretation with or without the support of simulation models data.

Grafico in due pannelli con la serie temporale di due inquinanti atmosferici.

Machine Learning

We develop Machine Learning algorithms with observed data and numerical simulation results to analyse atmospheric pollution at very high spatial resolution.