Natural disaster in the mountainous region of Rio de Janeiro state, Brazil: Assessment of the daily rainfall erosivity as an early warning index

• Autor(a) principal: Alves, Geovane J.
• Data de Publicação: 2022
• Outros Autores: Mello, Carlos R., Guo, Li, Thebaldi, Michael S.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFLA
• Texto Completo: http://repositorio.ufla.br/jspui/handle/1/50605
• topic: Daily rainfall erosivity; Rainfall hazards; Brazilian mountainous regions; Rainfall warning system; Precipitação erosiva diária; Regiões montanhosas brasileiras; Sistema de Alerta de Chuvas; Desastres naturais

Rainfall erosivity is defined as the potential of rain to cause erosion. It has great potential for application in studies related to natural disasters, in addition to water erosion. The objectives of this study were: i) to model the Rday using a seasonal model for the Mountainous Region of the State of Rio de Janeiro (MRRJ); ii) to adjust thresholds of the Rday index based on catastrophic events which occurred in the last two decades; and iii) to map the maximum daily rainfall erosivity (Rmaxday) to assess the region's susceptibility to rainfall hazards according to the established Rday limits. The fitted Rday model presented a satisfactory result, thereby enabling its application as a Rday estimate in MRRJ. Events that resulted in Rday > 1500 MJ ha−1.mm.h−1. day−1 were those with the highest number of fatalities. The spatial distribution of Rmaxday showed that the entire MRRJ has presented values that can cause major rainfall. The Rday index proved to be a promising indicator of rainfall disasters, which is more effective than those normally used that are only based on quantity (mm) and/or intensity (mm.h−1) of the rain.