ESP seminar

Adrian Tompkins tompkins at ictp.it
Mon May 24 11:20:09 CEST 2021



Environmental Meteorology: From the Fundamentals of Climate to
Operational Applications

This series of lectures is a joint initiative between the Earth System
Physics group at ICTP and the Atmospherics Physics group at the
University of Trento.

27/5/21 @ 15:00 [host: University of Trento]

For registration details see:
https://www.ictp.it/research/esp/seminar-series.aspx

Modelling the dispersion of pollutants in the atmospheric boundary
layer. The experience of ARIANET, products and applications.

Gianni Tinarelli
Arianet S.r.l.
Milan, Italy

Abstract

The atmospheric dispersion of pollutants is one of the main phenomena
that must be described to obtain an assessment of the air pollution.
Among the tools that may allow this, numerical dispersion models
constitute one of the main ones. They allow to reconstruct the behavior
of pollutants released into the atmosphere by both human activities
(transport, heating, industry) and natural phenomena (volcanoes, fires,
sand storms). Pollutants are transported by wind and dispersed by
turbulence, chemically transformed, deposited by surface contact or
removed by rainfall: the aim of the models is to reproduce this complex
phenomenology to assess air quality levels that may be harmful to human
health and ecosystems. ARIANET has a more than ventennial history in
both developing and using this kind of models for many applications at
different scales, ranging from impact studies of local industrial
pollutant sources to the development, use and maintenance of air quality
forecast systems at the national scale. Aim of the seminar is to
describe the various products developed and available at ARIANET,
including both the Lagrangian Particle Dispersion Model SPRAY and the
Eulerian Chemical Transport Model FARM widely used by many institutions
in Italy and to give an overview of the many applications of these
modeling tools such as in the fields of impact assessment, emergency
response, odours, fires, and forecasting systems.


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