PREDICTION OF WAVE RUNUP HEIGHT AGAINST COASTAL PROTECTION AT ANYER BEACH, SERANG REGENCY USING ANN METHOD

PREDICTION OF WAVE RUNUP HEIGHT AGAINST COASTAL PROTECTION AT ANYER BEACH, SERANG REGENCY USING ANN METHOD

Wave run-up is a critical factor that influences coastal flooding, shoreline changes, and damage to coastal structures. Climate effects also impact wave run-up in coastal areas. Therefore, efficient and accurate prediction of wave run-up is crucial for effective coastal engineering design and manage...

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Main Author: Nadeak, Novintasari
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/85421
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:85421
spelling id-itb.:854212024-08-20T13:51:26ZPREDICTION OF WAVE RUNUP HEIGHT AGAINST COASTAL PROTECTION AT ANYER BEACH, SERANG REGENCY USING ANN METHOD Nadeak, Novintasari Indonesia Theses wave run-up, artificial neural network, XBeach, non-stationarity INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/85421 Wave run-up is a critical factor that influences coastal flooding, shoreline changes, and damage to coastal structures. Climate effects also impact wave run-up in coastal areas. Therefore, efficient and accurate prediction of wave run-up is crucial for effective coastal engineering design and management. Predicting wave run-up can be time-consuming due to the influence of nonlinearity and nonstationarity processes. Hence, this study utilizes a Machine Learning (ML) approach, specifically an Artificial Neural Network (ANN) trained with the backpropagation algorithm, to predict wave run-up. Numerical modeling will also be employed to understand wave run-up dynamics on the coast using Delft3D Flow+Wave and XBeach. This methodology will combine the computational efficiency of the XBeach numerical model with ANN as its predictor. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Wave run-up is a critical factor that influences coastal flooding, shoreline changes, and damage to coastal structures. Climate effects also impact wave run-up in coastal areas. Therefore, efficient and accurate prediction of wave run-up is crucial for effective coastal engineering design and management. Predicting wave run-up can be time-consuming due to the influence of nonlinearity and nonstationarity processes. Hence, this study utilizes a Machine Learning (ML) approach, specifically an Artificial Neural Network (ANN) trained with the backpropagation algorithm, to predict wave run-up. Numerical modeling will also be employed to understand wave run-up dynamics on the coast using Delft3D Flow+Wave and XBeach. This methodology will combine the computational efficiency of the XBeach numerical model with ANN as its predictor.
format Theses
author Nadeak, Novintasari
spellingShingle Nadeak, Novintasari
PREDICTION OF WAVE RUNUP HEIGHT AGAINST COASTAL PROTECTION AT ANYER BEACH, SERANG REGENCY USING ANN METHOD
author_facet Nadeak, Novintasari
author_sort Nadeak, Novintasari
title PREDICTION OF WAVE RUNUP HEIGHT AGAINST COASTAL PROTECTION AT ANYER BEACH, SERANG REGENCY USING ANN METHOD
title_short PREDICTION OF WAVE RUNUP HEIGHT AGAINST COASTAL PROTECTION AT ANYER BEACH, SERANG REGENCY USING ANN METHOD
title_full PREDICTION OF WAVE RUNUP HEIGHT AGAINST COASTAL PROTECTION AT ANYER BEACH, SERANG REGENCY USING ANN METHOD
title_fullStr PREDICTION OF WAVE RUNUP HEIGHT AGAINST COASTAL PROTECTION AT ANYER BEACH, SERANG REGENCY USING ANN METHOD
title_full_unstemmed PREDICTION OF WAVE RUNUP HEIGHT AGAINST COASTAL PROTECTION AT ANYER BEACH, SERANG REGENCY USING ANN METHOD
title_sort prediction of wave runup height against coastal protection at anyer beach, serang regency using ann method
url https://digilib.itb.ac.id/gdl/view/85421
_version_ 1822010721476542464

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