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What is Urban Flooding Susceptibility Analysis about?

This research analyzes urban flooding susceptibility in Belém, Brazil, using multiple machine learning algorithms, particularly highlighting the Random Forest model which achieved over 90% accuracy. Key factors influencing flooding include altitude, HAND, soil profiles, and precipitation, with the study emphasizing the importance of detailed geographic data for effective flood management. The findings support urban planning efforts and suggest further exploration of conditioning factors and algorithms in di

Author

gato

Language

EN