Work

Machine Learning-Based Flood Susceptibility Mapping Using Geoenvironmental Factors in Central Morocco

Year: 2026

Type: article

Source: Earth Systems and Environment

DOI: 10.1007/s41748-025-01019-w

Authors: Meriame Mohajane, Sk Ajim Ali, Sliman Hitouri, Renata Pacheco Quevedo, Tadesual Asamin Setargie, Costanza Fiorentino, Ismail ElKhrachy, Paola D’Antonio, Meriam Lahsaini

Institutions: University of Basilicata, Aligarh Muslim University, Université Ibn-Tofail, Université Mohammed VI Polytechnique, University of Vienna, Research Institute for Geo-Hydrological Protection, National Research Council, Bahir Dar University, Najran University, Institute of Geosciences and Earth Resources

Language: English

Topic: Flood Risk Assessment and Management

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Climate action, Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W7127050883

FWCI: 3.369

Cites: 103

Cited by: 2

Related to: 10