2026-06-09T12:34:02Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/69312024-05-17T09:56:38Zcom_10259.4_104com_10259_2604col_10259_6848
Rodríguez García, Inmaculada
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600
Moscoso López, José Antonio
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Ruiz Aguilar, Juan Jesús
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González Enrique, Francisco Javier
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Rodríguez López, Juana Carmen
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Turias Domínguez, Ignacio J.
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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)
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info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/openAccess
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Rodríguez_CIT2021_1409-1425.pdf
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oai:riubu.ubu.es:10259/6931
2024-05-17 11:56:38.771
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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