Modelling and predicting coastal zone depth profile evolution: a survey
Publicado en línea: 16 sept 2023
Páginas: 50 - 61
Recibido: 06 dic 2023
Aceptado: 07 oct 2023
DOI: https://doi.org/10.2478/caim-2023-0003
Palabras clave
© 2023 Denis Baramiya et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
We survey results concerning the problem of identifying depth profiles at coastal zone, which evolve in time due to natural as well as anthropic activities. This issue is relevant to control the modifications of the environment occurring near sea coastlines, but also in river's estuaries and harbors. One of the main goals is to predict the time evolution of the depth profile in the long-term (i.e., over years or decades, say), and to do this on the basis of