Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh

• Published in: Journal of environmental management Vol. 295; p. 113086
• Main Authors: Rahman, Mahfuzur, Chen, Ningsheng, Elbeltagi, Ahmed, Islam, Md Monirul, Alam, Mehtab, Pourghasemi, Hamid Reza, Tao, Wang, Zhang, Jun, Shufeng, Tian, Faiz, Hamid, Baig, Muhammad Aslam, Dewan, Ashraf
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.10.2021
• Subjects: Extreme floods; Machine learning; National scale; Risk management; Stacking algorithm; Extreme floods; National scale; Risk management; Stacking algorithm; Machine learning

Floods are among the most devastating natural hazards in Bangladesh. The country experiences multi-type floods (i.e., fluvial, flash, pluvial, and surge floods) every year. However, areas prone to multi-type floods have not yet been assessed on a national scale. Here, we used locally weighted linear...