[HTML][HTML] Flood susceptibility assessment using machine learning approach in the Mohana-Khutiya River of Nepal

M Maharjan, S Timilsina, S Ayer, B Singh… - Natural Hazards …, 2024 - Elsevier
Nepal, known for its challenging topography and fragile geology is confronted with the
constant threat of floods leading to substantial socio-economic losses annually. However …

Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches

S Duwal, D Liu, PM Pradhan - Geomatics, Natural Hazards and …, 2023 - Taylor & Francis
Abstract The Karnali River Basin (KRB) comprises the longest river in Nepal, located south
of the Himalayas. Despite its high susceptibility to floods, the basin lacks detailed studies …

[HTML][HTML] Evaluating flood susceptibility in the brahmaputra river basin: an insight into Asia's Eastern Himalayan floodplains using machine learning and multi-criteria …

J Debnath, D Sahariah, M Mazumdar, D Lahon… - Earth Systems and …, 2023 - Springer
Floods represent a significant threat to human life, property, and agriculture, especially in
low-lying floodplains. This study assesses flood susceptibility in the Brahmaputra River …

Analyzing sensitivity of flood susceptible model in a flood plain river basin

S Pal, P Singha - Geocarto International, 2022 - Taylor & Francis
Flood is considered one of the most dangerous natural disasters among all-natural
disasters. Prediction of flood susceptible areas is a primary task for adopting management …

[HTML][HTML] Gis-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India

NI Saikh, P Mondal - Natural Hazards Research, 2023 - Elsevier
The unique characteristics of drainage conditions in the Pagla river basin cause flooding
and harm the socioeconomic environment. The main purpose of this study is to investigate …

Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India

S Saha, A Gayen, B Bayen - Stochastic Environmental Research and Risk …, 2022 - Springer
Flood is considered the most extensive natural disaster around the globe. Kunur River, a
riverine landscape of Rarh Bengal, was selected as the study area because this basin has …

[HTML][HTML] Modelling on assessment of flood risk susceptibility at the Jia Bharali River basin in Eastern Himalayas by integrating multicollinearity tests and geospatial …

J Debnath, D Sahariah, N Nath, A Saikia… - Modeling Earth Systems …, 2024 - Springer
Climate change and anthropogenic factors have exacerbated flood risks in many regions
across the globe, including the Himalayan foothill region in India. The Jia Bharali River …

Flood susceptibility assessment in Bangladesh using machine learning and multi-criteria decision analysis

M Rahman, C Ningsheng, MM Islam, A Dewan… - Earth Systems and …, 2019 - Springer
This work proposes a new approach by integrating statistical, machine learning, and multi-
criteria decision analysis, including artificial neural network (ANN), logistic regression (LR) …

Application of hybrid machine learning algorithms for flood susceptibility modeling

S Talukdar, SK Roy, SK Sarkar, S Mahato, S Pal… - Spatial modelling of …, 2022 - Springer
This study combines machine learning (ML) algorithms with statistical models to generate
new hybrid models for flood susceptibility mapping (FSM) in the Teesta River basin of …

Spatial mapping of flood susceptibility using decision tree–based machine learning models for the Vembanad Lake System in Kerala, India

P Kulithalai Shiyam Sundar… - Journal of Water …, 2023 - ascelibrary.org
Floods have claimed the lives of countless people and caused significant property damage
in many countries, putting their livelihoods in the jeopardy. The Vembanad lake system …