Código QR (código de barras bidimensional)

Flood susceptibility mapping in the Nyabarongo Catchment, Rwanda, based on data analysis and modeling

Rwanda’s Nyabarongo catchment frequently experiences floods, highlighting the need for effective flood susceptibility analysis and management. This study mapped flood susceptibility in the catchment using the random forest (RF), support vector machine (SVM), eXtreme Gradient Boosting (XGBoost), SHap...

ver descrição completa

Na minha lista:
Principais autores: Leonard Nzabonantuma, Gilbert Nduwayezu, Amir Naghibi, Erik Nilsson, Umaru Garba Wali, Magnus Larson
Formato: Artigo
Idioma:Inglês
Publicado em: Taylor & Francis Group 2025-12-01
coleção:Geomatics, Natural Hazards & Risk
Assuntos:
eXtreme gradient Boosting
flood conditioning factors
flood inventory
random forest model
Shapley Additive exPlanations
Acesso em linha:https://www.tandfonline.com/doi/10.1080/19475705.2025.2556987
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados