Eventos extremos de precipitação no Sul de Minas Gerais (Extreme rainfall weather events in the Southern Minas Gerais State, Brazil)
DOI:
https://doi.org/10.5935/1984-2295.20160166Keywords:
Tempo de retorno, probabilidade de ocorrência, Serra da Mantiqueira, extremos de precipitaçãoAbstract
Este estudo teve como objetivo a utilização de dados de estações pluviométricas para investigar as características climatológicas dos eventos extremos de precipitação no Sul do Estado de Minas Gerais bem como caracterizar estatisticamente o Tempo de Retorno (TR) de tais eventos. Resultados apontam a característica monçônica da região, definida por verões chuvosos e invernos secos, onde além das médias mensais e sazonais, os desvios-padrão também acompanham tal perfil, cujos máximos e mínimos temporais e espaciais também são apresentados. A precipitação máxima diária dos meses possui distribuição espacial mais homogênea e acompanha as características das climatologias mensais e sazonais. Destaca-se as microrregiões de Andrelândia e São Lourenço com máximos dentre as estações na região de estudo. Nota-se também máximos preferenciais nos setores a sotavento da Serra da Mantiqueira, uma possível evidência da atuação orográfica no disparo e alimentação de sistemas precipitantes. Como base nos dados diários e acumulados anuais, é apresentado os resultados para os TR de tais séries, para valores 25, 50, 75 e 100% acima das médias calculadas.
A B S T R A C T
This study aims to utilize precipitation measured data in order to investigate the climatological characteristics of extreme rainfall weather events over the Southern Minas Gerais State, as well as determine statistically the Return Periods (TR) of such events. Results point to the monsoonal characteristic of the region, generalized by wet summers and dry winters, where besides the seasonal and monthly means, the standard deviation also follows such profile, which maximum and minimum values in space and time are presented. The maximum daily rainfall in every month has a more even spatial distribution and follows the behaviour of the seasonal and monthly climatology. We highlight though the micro-regions of Andrelândia and São Lourenço holding the maximum values within the area. It can be also noticed the preferable maximum values at the leeward of the Serra da Mantiqueira, a possible evidence of the orographic influence on the onset and feeding of rainfall systems. According to the daily and annually accumulated datasets, it is presented the results for TR of these series for values 25, 50, 75 and 100% above the average.
Keywords: return period, probability of occurrence, Mantiqueira Mountains, extreme rainfall weather events.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2016 Bruno de Campos, Rodolfo Armando de Almeida Pereira, Cleverson Henrique de Freitas, Alexandre Augusto Barbosa
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Revista Brasileira de Geografia Física agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted to make their work available online before or during the editorial process, on academic social networks, digital repositories, or preprint servers. After publication in Revista Brasileira de Geografia Física, authors are expected to update the preprint or postprint versions on the platforms where they were originally made available, providing a link to the final published version and any other relevant information, with proper recognition of authorship and the initial publication in this journal.
You are free to:
Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
