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dc.creatorMello, Carlos Rogério de-
dc.creatorAlves, Geovane Junqueira-
dc.creatorBeskow, Samuel-
dc.creatorNorton, Lloyd Darrell-
dc.date.accessioned2020-08-07T18:50:46Z-
dc.date.available2020-08-07T18:50:46Z-
dc.date.issued2020-05-
dc.identifier.citationMELLO, C. R. de et al. Daily rainfall erosivity as an indicator for natural disasters: assessment in mountainous regions of southeastern Brazil. Natural Hazards, [S. I.], v. 103, p. 947-966, May 2020. DOI: https://doi.org/10.1007/s11069-020-04020-w.pt_BR
dc.identifier.urihttps://doi.org/10.1007/s11069-020-04020-wpt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/42293-
dc.description.abstractRainfall erosivity is defined as the rainfall potential to cause erosion. Its concept is based on the kinetic energy of rainfall, rainfall intensity, and maximum rainfall intensity in a 30-min period, and purposes recurrence analyzes involving soil losses. It is a climatic index related to damages caused by erosion, landslides, and flooding. This study sought to: (1) model daily rainfall erosivity in Mantiqueira Range Region (MRR), Southeastern Brazil; and (2) propose the Rmaxday as an indicator of the areas prone to natural disasters. Rmaxday is defined as the maximum daily rainfall erosivity and is determined from the maximum daily rainfall. It should be calculated from a historical series over the least 22 years. Three seasonal models were fitted using observed historical series. The models exhibited consistent statistical performances (CNS = 0.55, on average), thereby indicating that they can be used for further studies regarding natural disasters in the MRR. The Center to Northeastern MRR had the most vulnerable areas, as they experienced Rmaxday values > 1600 MJ ha−1 mm h−1 in the year of 2000 when fatalities were registered. Overall, the first half of January had the greatest Rmaxday in MRR. This period has been the most relevant for provoking natural disasters caused by heavy rainfall in MRR. Rmaxday is a promising indicator to identify areas prone to natural disasters, as it is more robust than the commonly used rainfall depth intervals, i.e., there is a relationship between its magnitude and the damages provoked by natural disasters.pt_BR
dc.languageenpt_BR
dc.publisherSpringer Naturept_BR
dc.rightsrestrictAccesspt_BR
dc.sourceNatural Hazardspt_BR
dc.subjectRainfall natural disasterspt_BR
dc.subjectSoutheastern Brazilian Mountain Regionpt_BR
dc.subjectRainfall erosivity seasonalitypt_BR
dc.subjectNatural impactspt_BR
dc.subjectErosividade da chuva - Sazonalidadept_BR
dc.subjectChuva - Desastres naturaispt_BR
dc.subjectRegião Sudeste da Montanha Brasileirapt_BR
dc.titleDaily rainfall erosivity as an indicator for natural disasters: assessment in mountainous regions of southeastern Brazilpt_BR
dc.typeArtigopt_BR
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DRH - Artigos publicados em periódicos

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