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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| المؤلف الرئيسي: | |
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| التنسيق: | Theses |
| اللغة: | Indonesia |
| الوصول للمادة أونلاين: | https://digilib.itb.ac.id/gdl/view/85421 |
| الوسوم: |
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| المؤسسة: | Institut Teknologi Bandung |
| اللغة: | Indonesia |
| الملخص: | 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. |
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