Flood susceptibility mapping in El Niño Phenomenom integrating multitemporal radar analysis, GIS and machine learning techniques, Piura river basin, Peru

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Hybrid methodology developed precise flood susceptibility maps in the Piura region, highlighting factors influencing vulnerability during El Niño.

The RF-WoE model achieved an AUC of 0.988 in training, indicating exceptional accuracy and predictive strength.
Analysis revealed the lower Piura River basin as highly vulnerable, particularly influenced by geological and geomorphological factors.
Flood susceptibility maps inform local authorities, supporting sustainable land-use planning to enhance community resilience.
Methodologies like PCA and SHAP analysis improve interpretability and robustness of flood predictions in risk management.

Badillo-Rivera et al. (2025) studied this question.

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Hybrid methodology developed precise flood susceptibility maps in the Piura region, highlighting factors influencing vulnerability during El Niño.