Sea Level Change Assessment along the Egyptian Mediterranean Coast Using Multi-Source Data and Machine Learning Models
This study assesses sea level rise risks along the Egyptian Mediterranean coast by integrating multi-source data (GPS, tide gauges, GRACE, and satellite altimetry) with machine learning models, identifying XGBoost as the most accurate predictor and forecasting a continued rise of 2.8 to 4.09 mm/year through 2050 that threatens coastal cities like Alexandria, Port Said, and El Arish.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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