Flash flood susceptibility mapping based on catchments using an improved Blending machine learning approach

Flash flood susceptibility mapping based on catchments using an improved Blending machine learning approach

Flash floods are a frequent and highly destructive natural hazard in China. In order to prevent and manage these disasters, it is crucial for decision-makers to create GIS-based flash flood susceptibility maps. In this study, we present an improved Blending approach, RF-Blending (Reserve Feature Ble...

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Bibliographic Details
Main Authors: Yongqiang Yin, Xiaoxiang Zhang, Zheng Guan, Yuehong Chen, Changjun Liu, Tao Yang
Format: Article
Language:English
Published: IWA Publishing 2023-04-01
Series:Hydrology Research
Subjects:
blending machine learning
catchment-based mapping
flash flood susceptibility mapping
gis
jiangxi province
Online Access:http://hr.iwaponline.com/content/54/4/557

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http://hr.iwaponline.com/content/54/4/557

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