2026-06-23T09:03:24Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/69312024-05-17T09:56:38Zcom_10259.4_104com_10259_2604col_10259_6848

Rodríguez García, Inmaculada Moscoso López, José Antonio Ruiz Aguilar, Juan Jesús González Enrique, Francisco Javier Rodríguez López, Juana Carmen Turias Domínguez, Ignacio J. 2022-09-20T06:55:00Z 2022-09-20T06:55:00Z 2021-07 978-84-18465-12-3 http://hdl.handle.net/10259/6931 10.36443/10259/6931 Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos The main aim of this work was to measure the influence of the volume of shipping over the Sulphur dioxide (SO2) concentration in the air pollution in two monitoring stations located at Algeciras city and Alcornocales Park developing the same analysis in these two locations. The target is to demonstrate the assumption that Algeciras is more affected by SO2 than Alcornocales Park which is 30 km far away from Algeciras Port. A multiple regression approach has been applied using wind data: wind direction (degrees) and wind speed (km/h) recorded in two weather stations, together with the volume of the gross tonnage per hour (GT/h) of vessels in the Bay of Algeciras to estimate SO2 concentration values in the two stations Algeciras and Alcornocales. The database contains records of hourly samples of these variables during the year 2019. Different artificial neural networks (ANNs) models were compared and the results showed that SO2 in Algeciras station could be better explained than the same pollutant in Alcornocales station. On the other hand, ANNs produced better results than linear models which means that nonlinear models fit best the data. A cross- validation procedure has been applied in order to assure the generalization capabilities of the tested models. The results showed that in Algeciras a more reliable estimation could be done reaching a correlation estimation between the model and the target (real) values of SO2. This fact highlights the major influence of maritime transport in the Bay of Algeciras This work is part of the research project RTI2018-098160-B-I00 supported by 'MICINN’ Programa Estatal de I+D+i Orientada a 'Los Retos de la Sociedad'. Data used in this work have been kindly provided by the Algeciras Port Authority and the Andalusian Regional Government. application/pdf eng Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional R-Evolucionando el transporte http://hdl.handle.net/10259/6490 https://doi.org/10.36443/9788418465123 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098160-B-I00/ES/DEEP LEARNING IN AIR POLLUTION FORECASTING Modelización Simulación Transporte marítimo Modelling Simulation Maritime transport Ingeniería civil Transportes Informática Civil engineering Transportation Computer science Comparison of maritime transport influence of SO2 levels in Algeciras and Alcornocales Park (Spain) info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/openAccess 1409 1425