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<dc:title>Comparison of maritime transport influence of SO2 levels in Algeciras and Alcornocales Park (Spain)</dc:title>
<dc:creator>Rodríguez García, Inmaculada</dc:creator>
<dc:creator>Moscoso López, José Antonio</dc:creator>
<dc:creator>Ruiz Aguilar, Juan Jesús</dc:creator>
<dc:creator>González Enrique, Francisco Javier</dc:creator>
<dc:creator>Rodríguez López, Juana Carmen</dc:creator>
<dc:creator>Turias Domínguez, Ignacio J.</dc:creator>
<dc:subject>Modelización</dc:subject>
<dc:subject>Simulación</dc:subject>
<dc:subject>Transporte marítimo</dc:subject>
<dc:subject>Modelling</dc:subject>
<dc:subject>Simulation</dc:subject>
<dc:subject>Maritime transport</dc:subject>
<dc:description>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</dc:description>
<dc:description>The main aim of this work was to measure the influence of the volume of shipping over&#xd;
the Sulphur dioxide (SO2) concentration in the air pollution in two monitoring stations&#xd;
located at Algeciras city and Alcornocales Park developing the same analysis in these two&#xd;
locations.&#xd;
The target is to demonstrate the assumption that Algeciras is more affected by SO2&#xd;
than Alcornocales Park which is 30 km far away from Algeciras Port. A multiple&#xd;
regression approach has been applied using wind data: wind direction (degrees) and wind&#xd;
speed (km/h) recorded in two weather stations, together with the volume of the gross&#xd;
tonnage per hour (GT/h) of vessels in the Bay of Algeciras to estimate SO2&#xd;
concentration values in the two stations Algeciras and Alcornocales. The database&#xd;
contains records of hourly samples of these variables during the year 2019. Different&#xd;
artificial neural networks (ANNs) models were compared and the results showed that&#xd;
SO2 in Algeciras station could be better explained than the same pollutant in&#xd;
Alcornocales station. On the other hand, ANNs produced better results than linear&#xd;
models which means that nonlinear models fit best the data. A cross- validation&#xd;
procedure has been applied in order to assure the generalization capabilities of the&#xd;
tested models. The results showed that in Algeciras a more reliable estimation could&#xd;
be done reaching a correlation estimation between the model and the target (real) values of&#xd;
SO2. This fact highlights the major influence of maritime transport in the Bay of&#xd;
Algeciras</dc:description>
<dc:date>2022-09-20T06:55:00Z</dc:date>
<dc:date>2022-09-20T06:55:00Z</dc:date>
<dc:date>2021-07</dc:date>
<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
<dc:identifier>978-84-18465-12-3</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/6931</dc:identifier>
<dc:identifier>10.36443/10259/6931</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>R-Evolucionando el transporte</dc:relation>
<dc:relation>http://hdl.handle.net/10259/6490</dc:relation>
<dc:relation>https://doi.org/10.36443/9788418465123</dc:relation>
<dc:relation>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</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:publisher>Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional</dc:publisher>
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