2019
DOI: 10.12957/jse.2019.44397
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Relative Sea Level Rise Effects at the Marambaia Barrier Island and Guaratiba Mangrove: Sepetiba Bay (Se Brazil)

Abstract: Human activities change coastal ecosystems, but they are also altered by natural causes, such as the relative sea level rise. This work analyzes the influence of changes of the relative sea level at Guaratiba mangrove and Marambaia barrier island, in Sepetiba Bay, Rio de Janeiro State (SE, Brazil), based on photo interpretation. The objective of this study is to analyze the morphodynamics of Marambaia coastal sand barrier, estimating the rate of the shoreline change by mapping the vegetation line position, var… Show more

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“…Throughout the last decade, the 40 km long Marambaia barrier island has been investigated for its sedimentary dynamics and geological evolution (e.g., Borges and Nittrouer, 2016;Gomes et al, 2019;Reis et al, 2020;Dadalto et al, 2022), with fewer studies quantifying the shoreline dynamics (Oliveira et al, 2008;Bahiense et al, 2014;Santos et al, 2019;. Given the geomorphological importance of this barrier island and the emergency to understand the morphological behavior of coastal features due to scenarios of sea level rise (IPCC, 2022) and increased storminess (Young and Ribal, 2019;Rey et al, 2021), this work presents a contribution to the diagnostic of its morphological trends over 36 years , supported by Landsat imagery analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Throughout the last decade, the 40 km long Marambaia barrier island has been investigated for its sedimentary dynamics and geological evolution (e.g., Borges and Nittrouer, 2016;Gomes et al, 2019;Reis et al, 2020;Dadalto et al, 2022), with fewer studies quantifying the shoreline dynamics (Oliveira et al, 2008;Bahiense et al, 2014;Santos et al, 2019;. Given the geomorphological importance of this barrier island and the emergency to understand the morphological behavior of coastal features due to scenarios of sea level rise (IPCC, 2022) and increased storminess (Young and Ribal, 2019;Rey et al, 2021), this work presents a contribution to the diagnostic of its morphological trends over 36 years , supported by Landsat imagery analysis.…”
Section: Introductionmentioning
confidence: 99%