Machine learning and climate scenario integration reveals controls on flood susceptibility in the Taquari-Antas Basin, Brazil
Crossref DOI link: https://doi.org/10.1007/s40808-025-02585-8
Published Online: 2025-09-08
Published Print: 2025-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Alcântara, Enner
Baião, Cheila
Guimarães, Yasmim
Mantovani, José
Text and Data Mining valid from 2025-09-08
Version of Record valid from 2025-09-08
Article History
Received: 12 April 2025
Accepted: 15 August 2025
First Online: 8 September 2025
Declarations
:
: The authors declare no competing interests.