One century of sedimentation and Hg pollution at the mouth of the Sagua la Grande River (Cuba)

Díaz-Asencio, Misael; Sanchez-Cabeza, Joan-Albert; Bolaños-Álvarez, Yoelvis; Ruíz-Fernández, Ana Carolina; Gómez-Batista, Miguel; Morabito, Roberto; Alonso-Hernández, Carlos

doi:10.7773/cm.v40i4.2472

Cited by 6 publications

(1 citation statement)

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“…The 210 Pb ex profile showed an irregular variation in the uppermost 4 cm and a monotonous decrease between 4 and 11 cm. Sections 7–8 and 8–9 cm had similar activities of 210 Pb ex , coincident with a lower Al value in section 7–8 cm, commonly related to storms (Alonso-Hernandez et al., 2006; Diaz-Asencio et al., 2014). Therefore, we removed the 7–8 cm section from the 210 Pb dating CF model to avoid the distortion of the age model.…”

Section: Resultsmentioning

confidence: 79%

Coastal accretion and sea-level rise in the Cuban Archipelago obtained from sedimentary records

et al. 2020

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Sea-level rise (SLR) is one of the most pervasive consequences of global warming, and the Cuban Archipelago is threatened by current and future SLR. In order to support adaptation plans, it is essential to have reliable information about sea-level change during the last decades at the local scale, particularly in the most vulnerable regions. Here, we use sedimentary records to evaluate coastal accretion and to estimate the relative sea-level rise (RSLR) in two vulnerable coastal sites in central Cuba: Cayo Santa María (CSM) and Península de Ancón (PA). Both sites showed sediment sections with a continuous record of sediment accretion as a result of relative SLR and tropical storms. The sedimentary process was different between CSM and PA owing to differences in geomorphology and primary mineral composition. Sedimentary records also showed recent impacts of anthropogenic activities, likely increasing the vulnerability of the shoreline to SLR. The estimated RSLR values agreed with tidal gauge records, although they spanned a much longer time period (CSM: 0.5 ± 0.1 mm a−1, span of 38 years; PA: 1.5 ± 0.3 mm a−1, span of 92 years). Our results confirm that this methodology may be used to estimate the RSLR in places where data by instrumental records do not exist.

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Section: Resultsmentioning

confidence: 79%