What is it about?
The specific characteristics of drainage conditions in the Pagla river basin generate flooding and destruction of the socioeconomic environment. The primary goal of this study is to compare the utility of six machine learning algorithms in improving flood susceptibility and the capability of ensemble techniques in elucidating flood patterns and making more accurate predictions of flood susceptibilities in the Pagla river basin.
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Why is it important?
The current study will help the policymakers and the researcher determine the flood conditioning problems for prospects.
Perspectives
It is found that the Ensemble model has the higher capability compared to the other applied models in projecting flood sus- ceptibility in this study area.
Prolay Mondal
Raiganj University
Read the Original
This page is a summary of: Gis-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India, Natural Hazards Research, May 2023, Elsevier,
DOI: 10.1016/j.nhres.2023.05.004.
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