2020
DOI: 10.20502/rbg.v21i4.1749
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Inundação E Erosão Na Costa Norte Do Rio Grande Do Sul - Brasil. Estudo De Caso: A Maré Meteorológica De Outubro De 2016

Abstract: m³/m no balneário planejado e 3,54 m³/m no sem planejamento, ambos distantes cerca de 22 km. A altitude média de 2,00 m foi inundada, e as águas ultrapassaram os 200 m além das dunas frontais. A reconstrução do evento demonstrou que os balneários adjacentes às desembocaduras foram os mais impactados.

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Cited by 4 publications
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“…Values (Table 1) and classes for susceptibility mapping were assigned to each category: low (7 to 11), medium (12 to 16), and high (17 to 21). the event and identify the most susceptible areas, as per Vianna et al (2020). This tool enables the simulation of flooded areas, based on the knowledge of the increase in mean sea level or the maximum altitude flooded during a given event (Vianna et al, 2020).…”
Section: Methodsmentioning
confidence: 99%
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“…Values (Table 1) and classes for susceptibility mapping were assigned to each category: low (7 to 11), medium (12 to 16), and high (17 to 21). the event and identify the most susceptible areas, as per Vianna et al (2020). This tool enables the simulation of flooded areas, based on the knowledge of the increase in mean sea level or the maximum altitude flooded during a given event (Vianna et al, 2020).…”
Section: Methodsmentioning
confidence: 99%
“…the event and identify the most susceptible areas, as per Vianna et al (2020). This tool enables the simulation of flooded areas, based on the knowledge of the increase in mean sea level or the maximum altitude flooded during a given event (Vianna et al, 2020). From the simulation, the flooded area was vectored on ArcGis 10.7 and placed on the orthomosaic corresponding to the year 2019, for better identification of places susceptible to flooding.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations