Author(s): Achilleas G. Samaras; Lazaros Iliadis; Theophanis V. Karambas

Linked Author(s): Theofanis Karambas, Achilleas Samaras

Keywords: Harbour Layout Design; Climate Change; Advanced Numerical Models; Machine Learning

Abstract: This work introduces and presents for the first time a novel, “intelligent”, methodology for harbour layout design in a changing climate based on Advanced Numerical Models and Machine Learning. This methodology can be encoded, in brief, to the following: marine data acquisition/analysis and identification of design scenarios; harbour layout identification; Advanced Numerical Models applications and identification of solutions for harbour layout design/redesign in a changing climate; Machine Learning applications in order to develop robust Machine Learning models for harbour layout design/redesign. Core aspects of the methodology are presented and analysed, along with selected applications of several of its components. This work is the first step towards the development of a tool that will allow end-users to examine the impact of changes in marine data parameters (past-present-future conditions) on harbour layouts, and get solutions for their redesign-upgrading without the need to run time-consuming applications, solely based on Machine Learning models.

DOI: https://doi.org/10.3850/978-90-833476-1-5_iahr40wc-p0581-cd

Year: 2023