Mesh-Free Modeling of the 1958 Landslide-Generated Mega-Tsunami in Lituya Bay, Alaska

This repository contains data and code associated with research on mesh-free modeling of the 1958 landslide-generated mega-tsunami in Lituya Bay, Alaska. The data files provide amplitude values of surge waves observed during simulations, while the Python script performs non-linear fitting on the data to extract insights into wave behavior.

Repository Contents

Data Files:
- max_height_wave_885_all_cases.xlsx: Excel file containing surge wave amplitude data for all cases at the x = 885 m.
- max_height_wave_Global_all_cases.xlsx: Excel file containing global surge wave amplitude data for all cases.
Python Script:
- wave_amplitude_fitting.py: A Python script for non-linear fitting of surge wave amplitude data. The fitting model is designed to capture relationships in the data, achieving a coefficient of determination (R²) of 0.9981, indicating a high degree of fit accuracy. The script uses libraries such as NumPy, SciPy, and scikit-learn to optimize parameters and evaluate the model.

Usage Instructions

Data Analysis: Load the Excel files (max_height_wave_885_all_cases.xlsx and max_height_wave_Global_all_cases.xlsx) for amplitude data in your preferred data analysis software or directly in Python using libraries like pandas.
Running the Python Script:
- The script performs non-linear curve fitting on the provided data.
- To execute the script, ensure you have the required dependencies installed:
```
pip install numpy scipy scikit-learn matplotlib
```
- Run the script to view the fitting results, including a plot of the original data and the fitted curve, along with key metrics such as R², Mean Squared Error (MSE), and Root Mean Squared Error (RMSE).

Requirements

Python 3.6 or higher
Required packages: numpy, scipy, matplotlib, scikit-learn

Citation

If you use this data or code, please cite the corresponding research paper:

Mesh-Free Modeling of the 1958 Landslide-Generated Mega-Tsunami in Lituya Bay, Alaska

License