Analyzing Weather Patterns for Predicting Floods with Regression Models

• Main Authors: Ruaro, Erickson Neil G., II, So, Neil Harry S., Cu, Gregory G.
• Format: text
• Published: Animo Repository 2022
• Subjects: flood assessment; weather data; machine learning; hazards; time-series forecasting
• Online Access: https://animorepository.dlsu.edu.ph/conf_shsrescon/2022/paper_csr/8; https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1160&context=conf_shsrescon
• Institution: De La Salle University

Weather and flood assessment are known to be of great importance for the early notification of flood disasters worldwide. Therefore, predicting flood risks is crucial to ensuring the safety of the general public from this disaster. Unfortunately, the Philippines continues to be one of the countries...