Flood-prone area mapping using a synergistic approach with swarm intelligence and gradient boosting algorithms

Flood-prone area mapping using a synergistic approach with swarm intelligence and gradient boosting algorithms

Abstract Accurate flood susceptibility mapping (FSM) is a control approach to flood management. This research introduces a novel approach to increase the accuracy of FSM by optimizing the CatBoost algorithm with two swarm-based metaheuristic algorithms: the Zebra optimization algorithm (ZOA) and the...

Full description

Saved in:
Bibliographic Details
Main Authors: Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Sani I. Abba, Jamil Hussain, Soo-Mi Choi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Flood-prone area mapping
Flood management
Boosting algorithm
Swarm-based metaheuristics
Semi-arid climate
Online Access:https://doi.org/10.1038/s41598-025-12022-6
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-12022-6

Similar Items