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dc.creatorGarcía Barrón, Leoncioes
dc.creatorMorales González, Juliaes
dc.creatorSousa Martín, Arturoes
dc.date.accessioned2023-02-22T16:49:31Z
dc.date.available2023-02-22T16:49:31Z
dc.date.issued2018
dc.identifier.citationGarcía Barrón, L., Morales González, J. y Sousa Martín, A. (2018). A new methodology for estimating rainfall aggressiveness risk based on daily rainfall records for multi-decennial periods. Science of the Total Environment, 615, 564-571. https://doi.org/10.1016/j.scitotenv.2017.09.305.
dc.identifier.issn0048-9697es
dc.identifier.issn1879-1026es
dc.identifier.urihttps://hdl.handle.net/11441/142926
dc.description.abstractThe temporal irregularity of rainfall, characteristic of a Mediterranean climate, corresponds to the irregularity of the environmental effects on soil. We used aggressiveness as an indicator to quantify the potential environmental impact of rainfall. However, quantifying rainfall aggressiveness is conditioned by the lack of sub-hourly frequency records on which intensity models are based. On the other hand, volume models are characterized by a lack of precision in the treatment of heavy rainfall events because they are based on monthly series. Therefore, in this study, we propose a new methodology for estimating rainfall aggressiveness risk. A new synthesis parameter based on reformulation using daily data of the Modified Fournier and Oliver's Precipitation Concentration indices is defined. The weighting of both indices for calculating the aggressiveness risk is established by multiple regression with respect to the local erosion R factor estimated in the last decades. We concluded that the proposed methodology overcomes the previously mentioned limitations of the traditional intensity and volume models and provides accurate information; therefore, it is appropriate for determining potential rainfall impact over long time periods. Specifically, we applied this methodology to the daily rainfall time series from the San Fernando Observatory (1870–2010) in southwest Europe. An interannual aggressiveness risk series was generated, which allowed analysis of its evolution and determination of the temporal variability. The results imply that environmental management can use data from long-term historical series as a reference for decision making.es
dc.formatapplication/pdfes
dc.format.extent34 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofScience of the Total Environment, 615, 564-571.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAggressivenesses
dc.subjectEnvironmental riskes
dc.subjectLand usees
dc.subjectRainfall erosivityes
dc.subjectSouthwest Europees
dc.titleA new methodology for estimating rainfall aggressiveness risk based on daily rainfall records for multi-decennial periodses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Biología Vegetal y Ecologíaes
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Física Aplicada IIes
dc.relation.publisherversionhttps://doi.org/10.1016/j.scitotenv.2017.09.305es
dc.identifier.doi10.1016/j.scitotenv.2017.09.305es
dc.journaltitleScience of the Total Environmentes
dc.publication.volumen615es
dc.publication.initialPage564es
dc.publication.endPage571es

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