Modeling flood susceptibility zones using hybrid machine learning models of an agricultural dominant landscape of India

SK Saini, S Mahato, DN Pandey, PK Joshi - Environmental Science and …, 2023 - Springer
Flooding events are determining a significant amount of damages, in terms of economic loss
and also casualties in Asia and Pacific areas. Due to complexity and ferocity of severe …

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 …

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 Map of Periyar River Basin Using Geo-spatial Technology and Machine Learning Approach

P Geetha, D Madhu - Remote Sensing in Earth Systems Sciences, 2024 - Springer
Floods are among nature's most destructive disasters because they create extremely
extensive damage to structures, the environment, and people. Therefore, it is important to …

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 …

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 …

Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks

M Ahmadlou, A Al‐Fugara… - Journal of Flood Risk …, 2021 - Wiley Online Library
Floods are one of the most destructive natural disasters causing financial damages and
casualties every year worldwide. Recently, the combination of data‐driven techniques with …

Advanced machine learning algorithms for flood susceptibility modeling-comparison of their performance: Safaga-Ras Gharib area, Red Sea, Egypt

AM Youssef, HR Pourghasemi, BA El-Haddad - 2022 - researchsquare.com
Floods are among the most devastating environmental hazards that directly and indirectly
affect people's lives and activities. In many countries, sustainable environmental …

A novel hybrid artificial intelligence approach for flood susceptibility assessment

K Chapi, VP Singh, A Shirzadi, H Shahabi… - … modelling & software, 2017 - Elsevier
A new artificial intelligence (AI) model, called Bagging-LMT-a combination of bagging
ensemble and Logistic Model Tree (LMT)-is introduced for mapping flood susceptibility. A …

[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 …