Methodology for determining the mean and extreme sea level regimes (astronomical and meteorological tides) considering scarce records in microtidal zones: colombian Caribbean case

Synthetic sea level (SL) records of the Cartagena Bay and the Urabá Gulf, from 1991 to 2010, were obtained through this methodology. Simulated series were adjusted against different probability functions (e.g. Log-Normal, Normal, Weibull, Gumbel). Normal and Gumbel distributions provided the best fi...

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Autores:
Orejarena-Rondón, Andrés Fernando
Otero-Díaz, Luis Jesús
Restrepo L., Juan Camilo
Ramos De la Hoz, Isabel María
Marriaga-Rocha, Leonardo
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/68533
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/68533
http://bdigital.unal.edu.co/69566/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
sea level
astronomical tide
meteorological tide
mean regime
extreme regime
Nivel del mar
marea astronómica
marea meteorológica
régimen medio
régimen extremo
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:Synthetic sea level (SL) records of the Cartagena Bay and the Urabá Gulf, from 1991 to 2010, were obtained through this methodology. Simulated series were adjusted against different probability functions (e.g. Log-Normal, Normal, Weibull, Gumbel). Normal and Gumbel distributions provided the best fit for mean and extreme regimes, respectively. Within the Cartagena Bay, there were no significant differences in the mean regime; whereas for the Urabá Gulf its magnitude increased as much as twice southward. Moreover, the extreme regime exhibited the largest values in the southern sector of the Urabá Gulf. This methodology might be implemented in areas where sea level records are scarce or poorly reliable. Thus, it may valuable for planning and building port and coastal infrastructure, as well as for implementing risk reduction measures.