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dc.contributor.authorPlocoste, Thomas
dc.contributor.authorCarmona-Cabezas, Rafael
dc.contributor.authorJiménez-Hornero, Francisco José
dc.contributor.authorGutiérrez de Ravé Agüera, Eduardo
dc.date.accessioned2023-11-10T10:42:57Z
dc.date.available2023-11-10T10:42:57Z
dc.date.issued2021
dc.identifier.urihttp://hdl.handle.net/10396/26169
dc.description.abstractIn the literature, several epidemiological studies have already associated respiratory and cardiovascular diseases to acute exposure of mineral dust. However, frail people are also sensitive to chronic exposure to particulate matter with an aerodynamic diameter 10μm or less (PM10). Consequently, it is crucial to better understand PM10 fluctuations at all scales. This study investigates PM10 background atmosphere in the Caribbean area according to African dust seasonality with complex network framework. For that purpose, the regular Visibility Graph (VG) and the new Upside-Down Visibility Graph (UDVG) are used for a multifractal analysis. Firstly, concentration vs degree (v-k) plots highlighted that high degree values (hubs behavior) are related to the highest PM10 concentrations in VG while hubs is associated to the lowest concentrations in UDVG, i.e. probably the background atmosphere. Then, the degree distribution analysis showed that VG and UDVG difference is reduced for high dust season contrary to the low one. As regards the multifractal analysis, the multifractal degree is higher for the low season in VG while it is higher for the high season in UDVG. The degree distribution behavior and the opposite trend in multifractal degree for UDVG are due to the increase of PM10 background atmosphere during the high season, i.e. from May to September. To sum up, UDGV is an efficient tool to perform noise fluctuations analysis in environmental time series where low concentrations play an important role as welles_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.sourcePlocoste, T., Carmona-Cabezas, R., Jiménez‐Hornero, F. J., & De Ravé, E. G. (2021). Background PM10 atmosphere: in the seek of a multifractal characterization using complex networks. Journal of Aerosol Science, 155, 105777. https://doi.org/10.1016/j.jaerosci.2021.105777es_ES
dc.subjectPM10es_ES
dc.subjectVisibility graphses_ES
dc.subjectUpside-down visibility graphses_ES
dc.subjectMultifractal analysises_ES
dc.subjectBackground atmospherees_ES
dc.titleBackground PM10 atmosphere: In the seek of a multifractal characterization using complex networkses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.jaerosci.2021.105777es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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