Identification of rainfall and atmospheric patterns associated with Quitandinha River flooding events in Petropolis, Rio
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Identification of rainfall and atmospheric patterns associated with Quitandinha River flooding events in Petropolis, Rio de Janeiro (Brazil) Fabricio Polifke da Silva1,3 · Otto Corrêa Rotunno Filho1 · Maria Gertrudes Alvarez Justi da Silva2 · Rafael João Sampaio1 · Gisele Dornelles Pires1,3 · Afonso Augusto Magalhães de Araújo4 Received: 1 September 2017 / Accepted: 2 July 2020 © Springer Nature B.V. 2020
Abstract Heavy rainfall events can result in natural disasters and cause innumerous impacts on society. These consequences can be mitigated by preventive measures applications which are interdisciplinary and integrated areas of study. From the meteorological point of view, preventive measures can be aided by better knowledge of extreme phenomena, the atmospheric patterns related and their monitoring by operational forecasters. The Petropolis city, located in a mountainous region Rio de Janeiro state, Brazil, is prone to heavy rainfall events, leading to the River flooding, and in the extreme events the simultaneously landslides occurrence and loss of life. In that context, this study endeavored to characterize the rainfall and atmospheric parameters which triggered heavy rainfall records and the corresponding Quitandinha River flooding episodes. More specifically, we analyzed events from the time period between January 2013 and December 2014 using observational, reanalysis and radar data. We hope that the overall obtained results could provide quantitative and qualitative aid to the operational forecasters and also the decision makers. We noticed that categorized flooding events mostly related to the South Atlantic Convergence Zone (SACZ) configurations and frontal systems (FS) passage, with a smaller percentage related to local convective storms (CS). The clustering analyses indicated three groups of homogenous precipitation, with higher values over the downstream region progressively decreasing in the upstream direction. The atmospheric parameters showed a pattern of wind change direction in the lower atmospheric levels, a vertical dynamic coupling and moisture availability to support the heavy rainfall development. Keywords Rainfall · Flooding · Clustering analysis · Quitandinha River
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s1106 9-020-04153-y) contains supplementary material, which is available to authorized users. * Fabricio Polifke da Silva [email protected] Extended author information available on the last page of the article
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Natural Hazards
1 Introduction The interest about rainfall and atmospheric patterns that originate high-accumulated precipitation and natural hazards has acquired greater relevance in recent years. Among the natural hazards, floods stand out as the largest destructive phenomenon in terms of the number of people affected (Barredo 2007). According to information provided by the database of the Center for Research in Epidemiology of Disasters (EM-DAT 2017), losses associated with natural hazards
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