Flash flood in the mountainous region of Rio de Janeiro state (Brazil) in 2011: part I—calibration watershed through hydrological SMAP model

Cavalcante, Marianna Rodrigues Gullo; Cataldi, Márcio

doi:10.1007/s11069-020-03948-3

Cited by 13 publications

(3 citation statements)

References 29 publications

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“…Similar results were achieved byCavalcante et al (2020) calibrating measured flash flood from eight rain gauges in the mountainous region of Rio de Janeiro, Brazil. Despite the calibration limitations, a previous study reported that the SMAP model was capable to predict future inflows for a hydroelectric plant based on data from an RCM, especially after the rainfall bias correction(da Silva et al, 2019).…”

supporting

confidence: 75%

Estudo de cenários baseados em projeções de mudanças climáticas e de uso do solo para o reservatório de Itupararanga (SP): >i<open acess tools>/i< no gerenciamento da qualidade das águas

Barbosa¹

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Dedico esse trabalho à minha família, de maneira especial aos meus avós que estão no céu e minha avó que está sempre ao meu lado me apoiando em todos os meus sonhos e projetos, Dona Eva Barbosa. AGRADECIMENTOSCom o coração cheio de gratidão venho agradecer primeiramente a Deus, que é o meu guia e sustento, e que me dá condições de continuar batalhando, e à Maria Santíssima, por interceder sempre por mim e minha família. À minha orientadora Prof. Maria do Carmo Calijuri, por ter me acolhido desde o primeiro momento em São Carlos e por sempre me ouvir, aconselhar e ter aceitado e incentivado minhas ideias e meu desenvolvimento pessoal e profissional. Não tenho palavras para expressar minha gratidão. À Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), pela concessão da bolsa de doutorado, e ao Conselho de Desenvolvimento Científico e Tecnológico (CNPq), pelo apoio nas viagens a campo, que fomentaram o desenvolvimento deste trabalho. À técnica de laboratório Dra. Adriana Miwa, pelo auxílio em campo e nas análises laboratoriais. Aos funcionários Waldomiro Antônio Filho e Benedito Patracon, técnico de campo e motorista, pelo apoio nas coletas, pelas risadas e aventuras nas viagens para Ibiúna. Aos pesquisadores que gentilmente cederam seus dados necessários à utilização dos modelos:

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supporting

confidence: 75%

Estudo de cenários baseados em projeções de mudanças climáticas e de uso do solo para o reservatório de Itupararanga (SP): >i<open acess tools>/i< no gerenciamento da qualidade das águas

Barbosa¹

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“…In this study the method chosen for flow generation was SMAP (Soil Moisture Accounting Procedure), which is a mathematical method that performs rainfall-flow transformation (Lopes et al, 1982). It is a well stablished method with proven performance in many scales and recent studies still use it for its high reliability (Cavalcante et al, 2020).…”

Section: Hydrologic Modelingmentioning

confidence: 99%

Hydrological modeling using distributed rainfall data to represent the flow in urban watersheds

Amorim

Magalhães

Martins

et al. 2022

RBRH

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Hydrological models are one of the most effective ways of assessing water behavior and flood risk, although the quality of their results is determined by the input data representativity, especially rainfall. Normally, only rain gauge data is used, unable to represent rain spatial variability. Aiming to reduce the model’s uncertainties, hydrological model performance was evaluated in determining the runoff based on distributed rainfall data applied in an urban watershed with macro drainage structures. A distributed rainfall data, derived from a conditional merging of radar and field measurements, was used as the hydrological model’s input data, and led to very accurate runoff results. The analysis of the results demonstrated that to model urban watersheds with accuracy, distributed rainfall data is required, as well as knowledge about the sewage and drainage systems, reinforcing the need to use tools that are compatible with the site complexity.

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“…It caused one of the major disasters in Brazil, which became known as the mega-disaster of the mountain region of Rio de Janeiro. The heavy rainfall -250.8 mm in 48 hours-caused thousands of landslides (Netto et al, 2013), flash floods (Cavalcante et. al, 2020), overflow, and floods.…”

Section: Introductionmentioning

confidence: 99%

Connecting heavy precipitation events to outgoing long wave radiation variability scales: Case analysis in Brazil

Müller

Fernandes

2022

ATM

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Spatial fields of outgoing longwave radiation (OLR) spectrum variance are analyzed in different time-scales: synoptic, sub-monthly, intra-seasonal, during the 1979-2016 austral summer months in southern Brazil. Variability fields differ both in intensity and location and highlight dominant convection cycles in the study area. The results show that the amplitude of sub-monthly variability is greater than the other scales in the southeastern region of Brazil, while the synoptic scale prevails in the southern region. The above-mentioned scales show higher amplitudes over the western Pacific Ocean where the Madden-Julian Oscillation plays an important role, along the South Pacific Convergence Zone, and over the storm track areas over the South Pacific Ocean. The influence of spectral OLR scale interaction is also analyzed, associated to the occurrence of two intense rainfall events over the southeastern Brazil in the austral summers of 2011 and 2014 when the South Atlantic Convergence Zone was involved in both events. The results obtained suggest that spectral OLR scale interaction takes place in such way that it strengthens the South Atlantic Convergence Zone, since the spatial pattern footprints of the 2 to 8-day timescale (synoptic), 10 to 30-day timescale (sub-monthly) and 30 to 60-day timescale (intra-seasonal) overlap in the study region.

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Flash flood in the mountainous region of Rio de Janeiro state (Brazil) in 2011: part I—calibration watershed through hydrological SMAP model

Cited by 13 publications

References 29 publications

Estudo de cenários baseados em projeções de mudanças climáticas e de uso do solo para o reservatório de Itupararanga (SP): >i<open acess tools>/i< no gerenciamento da qualidade das águas

Estudo de cenários baseados em projeções de mudanças climáticas e de uso do solo para o reservatório de Itupararanga (SP): >i<open acess tools>/i< no gerenciamento da qualidade das águas

Hydrological modeling using distributed rainfall data to represent the flow in urban watersheds

Connecting heavy precipitation events to outgoing long wave radiation variability scales: Case analysis in Brazil

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