The 1974 Tubarão River flood, Brazil: reconstruction of the catastrophic flood

Vanelli, Franciele Maria; Monteiro, Leonardo Romero; Fan, Fernando Mainardi; Goldenfum, Joel Avruch

doi:10.1080/23249676.2020.1787251

Cited by 3 publications

(7 citation statements)

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“…This type of deeper analysis of extraordinary hydrological events, through some type of simulation, has been more and more frequently described in the literature, and is called "hydrological reconstruction" (Balasch et al, 2010;Barriendos et al, 2014;Diodato et al, 2019;Vanelli et al, 2020) or "retromodeling" (Remo & Pinter, 2007;Remo et al, 2009), depending on the authors and the techniques used.…”

Section: /23mentioning

confidence: 99%

“…"Hydrological reconstruction" or "retromodeling" can be defined as the use of computational methods and modern simulation models combined with available data from the past condition, to estimate values of unknown variables. Eventually this can be done through iterative processes (Remo & Pinter, 2007;Remo et al, 2009;Balasch et al, 2010;Magnuszewski & Moran, 2015;Vanelli et al, 2020;González-Cao et al, 2021). Examples of retromodeling in Brazil were presented by Ribeiro Neto et al (2015), who analyzed the flood event in June 2010 in the Una river basin (PE), and Vanelli et al (2020), who analyzed the extraordinary flood of the Tubarão River (SC), which occurred in 1974.…”

Section: /23mentioning

confidence: 99%

“…Eventually this can be done through iterative processes (Remo & Pinter, 2007;Remo et al, 2009;Balasch et al, 2010;Magnuszewski & Moran, 2015;Vanelli et al, 2020;González-Cao et al, 2021). Examples of retromodeling in Brazil were presented by Ribeiro Neto et al (2015), who analyzed the flood event in June 2010 in the Una river basin (PE), and Vanelli et al (2020), who analyzed the extraordinary flood of the Tubarão River (SC), which occurred in 1974.…”

Section: /23mentioning

confidence: 99%

“…As well as the case study addressed by Vanelli et al (2020), the flood of 1941 in Porto Alegre can also be considered a composite event, which makes it more complex in relation to retromodeling. Compound events are defined as events resulting from the combination of multiple factors and/or hazards that contribute to social or environmental risk (Zscheischler et al, 2018).…”

Section: /23mentioning

confidence: 99%

“…Recently, the MGB model was also improved to allow the representation of the wind shear effect on large water surfaces, having been tested in the Patos Lagoon by Lopes et al (2018). This improved version of the model was also used by Vanelli et al (2020) in the Tubarão River Basin/SC and Possa et al (2022) in the Mirim-São Gonçalo.…”

Section: The Mgb Hydrological Modelmentioning

confidence: 99%

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Hydrological-hydrodynamic simulation and analysis of the possible influence of the wind in the extraordinary flood of 1941 in Porto Alegre

Possa

Collischonn

Jardim

et al. 2022

RBRH

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The great flood of 1941 remains the most impactful and traumatic flood event in the history of Porto Alegre. This event was caused by a combination of heavy rainfall in the basin in the days prior to the peak of the flood, and the wind that occurred during the flood. However, the influence of wind on the maximum flood level, although frequently mentioned, is not well known. This is largely because there are no systematic data for wind speed measuring and direction in 1941. Therefore, the present work aims to estimate the discharge and the maximum flood level in the city of Porto Alegre and in other relevant points of the basin. using hydrological-hydrodynamic modeling and, from there, analyze the possible role of the wind during the flood, through the simulation of hypothetical wind scenarios. The results showed that the discharges and levels were represented reasonably well with the MGB model at several locations in the basin. In relation to the 1941 event and the scenarios created, the contribution of the wind to the peak of the flood was of the order of a few to tens of centimeters, showing its potential role despite the limitations of the model.

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