Preprints
https://doi.org/10.5194/egusphere-2024-636
https://doi.org/10.5194/egusphere-2024-636
02 Apr 2024
 | 02 Apr 2024
Status: this preprint is open for discussion.

Description and validation of VERT 1.0, an R-based framework for estimating road transport emissions from traffic flows

Giorgio Veratti, Alessandro Bigi, Sergio Teggi, and Grazia Ghermandi

Abstract. VERT is an R package developed to estimate traffic emissions of a wide range of pollutants and greenhouse gases based on traffic estimates and vehicle fleet composition data, following the EMEP/EEA methodology. Compared to other tools available in the literature, VERT is characterised by ease of use and rapid configuration, while maintaining great flexibility in user input. In this paper, case studies conducted at both urban and regional scales demonstrate VERT's ability to accurately assess transport emissions. In an urban setting, VERT is integrated with the Lagrangian dispersion model GRAMM-GRAL and provides NOx concentrations in line with observed trends at monitoring stations, especially near traffic hotspots. On a regional scale, VERT simulations provide emission estimates that are highly consistent with the reference inventories for the Emilia-Romagna region (Italy). These findings make VERT a valuable tool for air quality management and traffic emission scenarios assessment.

Giorgio Veratti, Alessandro Bigi, Sergio Teggi, and Grazia Ghermandi

Status: open (until 28 May 2024)

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Giorgio Veratti, Alessandro Bigi, Sergio Teggi, and Grazia Ghermandi
Giorgio Veratti, Alessandro Bigi, Sergio Teggi, and Grazia Ghermandi

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Short summary
In this study we present VERT, an R package designed for estimating transport emissions using the EMEP/EEA methodology. Compared to other tools available in the literature, VERT stands out for its user-friendly configuration and flexibility of user input. Case studies demonstrate its accuracy in both urban and regional contexts, making it a valuable tool for air quality management and transport scenario planning.