Ricerc@Sapienza

Although in many developed countries the green transition towards sustainable mobility is going faster and faster towards low or zero emission vehicles, road traffic is so far one of the key PM10 pollution source in urban areas. This research compares and analyses correlations between PM10 pollution trends in urban areas and the following parameters: vehicles fleet, rain precipitations and diesel fuel sales. The city of Rome has been selected as pilot area, analysing data gathered by its PM10 monitoring network between 2006 and 2017.

In the context of the environmental monitoring of the Concordia wreck removal project, measurements of currents, winds and sea level height were made along the eastern coast of the Giglio Island, Tyrrhenian Sea (Italy), during 2012—2013. The aim of the study was to investigate the effect of atmospheric forcing and periodic sea-level changes on the coastal currents. Normalised Cross-Correlation Function analysis allowed us to correlate these observations.

The capability of COSMO-SkyMed (CSK) radar to remotely sense standing water beneath vegetation using an automatic algorithm working on a single image is investigated. The objective is to contribute to tackle the problem of missed detection of inundated vegetation by near real-time flood mapping algorithms using SAR data. The focus is on CSK because its four-satellite constellation is very suitable for rapid mapping. A set of CSK observations of an area inNorthern Italy wheremany rice fields are present and recurrent artificial inundations occur were analyzed.

This work proposes a new method for hail precipitation detection and probability, based on single-polarization X-band radar measurements. Using a dataset consisting of reflectivity volumes, ground truth observations and atmospheric sounding data, a probability of hail index, which provides a simple estimate of the hail potential, has been trained and adapted within Naples metropolitan environment study area. The probability of hail has been calculated starting by four different hail detection methods.

Computational fluid dynamics (CFD) is currently used in the environmental field to simulate flow and dispersion of pollutants around buildings. However, the closure assumptions of the turbulence usually employed in CFD codes are not always physically based and adequate for all the flow regimes relating to practical applications. The starting point of this work is the performance assessment of the V2F (i.e., v2-f) model implemented in Ansys Fluent for simulating the flow field in an idealized array of two-dimensional canyons.