2026-09-16T05:47:16Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/69312024-05-17T09:56:38Zcom_10259.4_104com_10259_2604col_10259_6848
Comparison of maritime transport influence of SO2 levels in Algeciras and Alcornocales Park (Spain)
Rodríguez García, Inmaculada
Moscoso López, José Antonio
Ruiz Aguilar, Juan Jesús
González Enrique, Francisco Javier
Rodríguez López, Juana Carmen
Turias Domínguez, Ignacio J.
Modelización
Simulación
Transporte marítimo
Modelling
Simulation
Maritime transport
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
2022-09-20T06:55:00Z
2022-09-20T06:55:00Z
2022-09-20T06:55:00Z
2021-07
info:eu-repo/semantics/conferenceObject
978-84-18465-12-3
http://hdl.handle.net/10259/6931
10.36443/10259/6931
eng
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
info:eu-repo/semantics/openAccess
Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional