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Air pollution relevance analysis in the bay of Algeciras (Spain)

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URI: http://hdl.handle.net/10498/28265

DOI: 10.1007/s13762-022-04466-4

ISSN: 1735-2630

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2022_650.pdf (1.696Mb)
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Author/s
Rodríguez García, María InmaculadaAuthority UCA; González Enrique, Francisco JavierAuthority UCA; Moscoso López, José AntonioAuthority UCA; Ruiz Águilar, Juan JesúsAuthority UCA; Turias Domínguez, Ignacio JoséAuthority UCA
Date
2022-09
Department
Ingeniería Industrial e Ingeniería Civil; Ingeniería Informática
Source
International Journal of Environmental Science and Technology
Abstract
The aim of this work is to accomplish an in-depth analysis of the air pollution in the two main cities of the Bay of Algeciras (Spain). A large database of air pollutant concentrations and weather measurements were collected using a monitoring network installed throughout the region from the period of 2010-2015. The concentration parameters contain nitrogen dioxide (NO2), sulphur dioxide (SO2) and particulate matter (PM10). The analysis was developed in two monitoring stations (Algeciras and La Linea). The higher average concentration values were obtained in Algeciras for NO2 (28.850 mu g/m(3)) and SO2 (11.966 mu g/m(3)), and in La Linea for PM10 (30.745 mu g/m(3)). The analysis shows patterns that coincide with human activity. One of the goals of this work is to develop a useful virtual sensor capable of achieving a more robust monitoring network, which can be used, for instance, in the case of missing data. By means of trends analysis, groups of equivalent stations were determined, implying that the values of one station could be substituted for those in the equivalent station in case of failure (e.g., SO2 weekly trends in Algeciras and Los Barrios show equivalence). On the other hand, a calculation of relative risks was developed showing that relative humidity, wind speed and wind direction produce an increase in the risk of higher pollutant concentrations. Besides, obtained results showed that wind speed and wind direction are the most important variables in the distribution of particles. The results obtained may allow administrations or citizens to support decisions.
Subjects
Air pollution; Regression analysis; Relevant variables; Relative risk; Spatial behavior
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  • Artículos Científicos [11777]
  • Articulos Científicos Ing. Ind. [93]
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Atribución 4.0 Internacional
This work is under a Creative Commons License Atribución 4.0 Internacional

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