Entity: Universitat Rovira i Virgili (URV)
Confidenciality: No
Education area(s): Enginyeria Química
APS: NO
Title in different languages: Modelling of pollutant dispersion in air
Abstract: This work develops a computational tool that can rapidly predict the dispersion of pollutants in the air using the open source programming language, Python. This consists of the two-dimensional simulation of one or multiple pollutants with one or more emission sources. The emission can also be continuous or instantaneous. To obtain the wind velocity, a web scraping module is used that connects and retrieves data from the AEMET weather stations to extract the magnitude and direction of the wind velocity. Furthermore, it allows contaminants to be passive or reactive. The tool has been validated with data from the eruption of the Cumbre Vieja volcano on La Palma.
Subject: Contaminants
Academic year: 2021-2022
Language: en
Work's public defense date: 2022-02-18
Subject areas: Chemical engineering
Student: Mestre Curto, Naomi
Department: Enginyeria Química
Creation date in repository: 2022-11-29
Keywords: python, simulation, dispersión, pollutants
Title in original language: Modelling of pollutant dispersion in air
Access Rights: info:eu-repo/semantics/openAccess
Project director: Ferré Vidal, Josep Anton