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A Study of Traffic Emissions Based on Floating Car Data for Urban Scale Air Quality Applications

TitleA Study of Traffic Emissions Based on Floating Car Data for Urban Scale Air Quality Applications
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2021
AuthorsRusso, Felicita, Villani Maria Gabriella, D'Elia Ilaria, D'Isidoro Massimo, Liberto Carlo, Piersanti Antonio, Tinarelli Gianni, Valenti Gaetano, and Ciancarella Luisella
JournalAtmosphere
Volume12
Issue8
Pagination1064
Date PublishedJan-08-2021
ISSN20734433
KeywordsAir quality, Floating car data, Large dataset, Micro scale models, Modelling systems, Pollutant concentration, Real time systems, Road traffic emissions, Roads and streets, Traffic emissions, Urban air quality, Urban traffic
Abstract

Urban air quality in cities is strongly influenced by road traffic emissions. Micro-scale models have often been used to evaluate the pollutant concentrations at the scale of the order of meters for estimating citizen exposure. Nonetheless, retrieving emissions information with the required spatial and temporal details is still not an easy task. In this work, we use our modelling system PMSS (Parallel Micro Swift Spray) with an emission dataset based on Floating Car Data (FCD), containing hourly data for a large number of road links within a 1 × 1 km2 domain in the city of Rome for the month of May 2013. The procedures to obtain both the emission database and the PMSS simulations are hosted on CRESCO (Computational Centre for Research on Complex Systems)/ ENEAGRID HPC facilities managed by ENEA. The possibility of using such detailed emis-sions, coupled with HPC performance, represents a desirable goal for microscale modeling that can allow such modeling systems to be employed in quasi-real time and nowcasting applications. We compute NOx concentrations obtained by: (i) emissions coming from prescribed hourly modulations of three types of roads, based on vehicle flux data in the FCD dataset, and (ii) emissions from the FCD dataset integrated into our modelling chain. The results of the simulations are then com-pared to concentrations measured at an urban traffic station. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

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URLhttps://www.mdpi.com/2073-4433/12/8/1064https://www.mdpi.com/2073-4433/12/8/1064/pdf
DOI10.3390/atmos12081064
Short TitleAtmosphere
Citation Key9195