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Comparison of maritime transport influence of SO2 levels in Algeciras and Alcornocales Park (Spain)

机译:ALAGERAS和Alcornocales Park(西班牙)SO2水平海上运输影响的比较(西班牙)

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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 SO2than 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 SO2concentration 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 SO2in 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 generalisation 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.
机译:这项工作的主要目的是测量位于Algeciras City的两个监测站的空气污染中运输量(SO2)浓度的含量浓度的影响力在这两个地点在这两个地点开发相同的分析。目标是展示Algeciras对So2than Alcornocales公园更受影响的假设,该公园远远超过AlgeCiras端口。使用风数据施加多元回归方法:在两个气象站中记录的风向(度)和风速(km / h),以及海湾中血管总吨位(gt / h)的总吨位的体积AlGeciras估计两个站Algeciras和Alcorncales中的SO2concentation值。该数据库包含2019年期间这些变量的每小时样本的记录。比较了不同的人工神经网络(ANNS)模型,结果表明,SO2IN ALGECIRAS站可以更好地解释于Alcorncales站的相同污染物。另一方面,ANNS产生的结果比线性模型更好,这意味着非线性模型适合最佳数据。已应用交叉验证程序以确保测试模型的泛化能力。结果表明,在AlGeCiras中,可以进行更可靠的估计来达到模型与SO2的目标(Real)值之间的相关估计。这一事实凸显了海运湾海湾海运的主要影响。

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