Flood susceptibility assessment of the Agartala Urban Watershed, India, using machine learning algorithm

J Debnath, J Debbarma, A Debnath, G Meraj… - Environmental …, 2024 - Springer
Frequent floods are a severe threat to the well-being of people the world over. This is
particularly severe in developing countries like India where tropical monsoon climate …

Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model

A Yaseen, J Lu, X Chen - Stochastic Environmental Research and Risk …, 2022 - Springer
Floods are among the most destructive natural hazards. Therefore, their prediction is pivotal
for flood management and public safety. Factors contributing to flood are different for every …

[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 …

Flood susceptibility mapping of Northeast coastal districts of Tamil Nadu India using Multi-source Geospatial data and Machine Learning techniques

S Saravanan, D Abijith - Geocarto International, 2022 - Taylor & Francis
Flooding is one of the most challenging and important natural disasters to predict, it is
becoming more frequent and more intense. The study area is badly damaged by devastating …

Flash-flood hazard susceptibility mapping in Kangsabati River Basin, India

R Chakrabortty, S Chandra Pal, F Rezaie… - Geocarto …, 2022 - Taylor & Francis
Flood-susceptibility mapping is an important component of flood risk management to control
the effects of natural hazards and prevention of injury. We used a remote-sensing and …

Flood susceptible prediction through the use of geospatial variables and machine learning methods

NM Gharakhanlou, L Perez - Journal of hydrology, 2023 - Elsevier
Floods are one of the most perilous natural calamities that cause property destruction and
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …

[HTML][HTML] Flood susceptibility zonation using advanced ensemble machine learning models within Himalayan foreland basin

S Ghosh, S Saha, B Bera - Natural Hazards Research, 2022 - Elsevier
Floods are considered as one of nature's most destructive fluvio-hydrological extremes
because of the massive damage to agricultural land, roads and buildings and human …

Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt

BA El-Haddad, AM Youssef, HR Pourghasemi… - Natural Hazards, 2021 - Springer
Floods represent catastrophic environmental hazards that have a significant impact on the
environment and human life and their activities. Environmental and water management in …

Artificial neural network for flood susceptibility mapping in Bangladesh

RR Rudra, SK Sarkar - Heliyon, 2023 - cell.com
The objective of the research is to investigate flood susceptibility in the Sylhet division of
Bangladesh. Eight influential factors (ie, elevation, slope, aspect, curvature, TWI, SPI …

Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India

S Saravanan, D Abijith, NM Reddy, KSS Parthasarathy… - Urban Climate, 2023 - Elsevier
Kerala experiences a high rate of annual rainfall and flooding resulting in a frequent natural
disaster. The objective of this study is to develop flood susceptibility maps for the Idukki …