Flood susceptibility assessment in Bangladesh using machine learning and multi-criteria decision analysis
This work proposes a new approach by integrating statistical, machine learning, and multi-
criteria decision analysis, including artificial neural network (ANN), logistic regression (LR) …
criteria decision analysis, including artificial neural network (ANN), logistic regression (LR) …
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 …
for flood management and public safety. Factors contributing to flood are different for every …
Evaluation of machine learning, information theory and multi-criteria decision analysis methods for flood susceptibility mapping under varying spatial scale of analyses
The annual average economic losses due to various natural disasters are increasing
exponentially across the globe and have reached a mark of US $239.2 billion per year …
exponentially across the globe and have reached a mark of US $239.2 billion per year …
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 …
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …
Flood risk assessment using geospatial data and multi-criteria decision approach: a study from historically active flood-prone region of Himalayan foothill, India
In recent years, floods have acquired global importance due to their devastating nature that
can cause massive damage to infrastructure and society. The Himalayan foothill is very …
can cause massive damage to infrastructure and society. The Himalayan foothill is very …
Computational machine learning approach for flood susceptibility assessment integrated with remote sensing and GIS techniques from Jeddah, Saudi Arabia
Floods, one of the most common natural hazards globally, are challenging to anticipate and
estimate accurately. This study aims to demonstrate the predictive ability of four ensemble …
estimate accurately. This study aims to demonstrate the predictive ability of four ensemble …
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 …
environment and human life and their activities. Environmental and water management in …
Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural network
Floods are considered one of the most destructive natural hydro-meteorological disasters
across the world. The present study attempts to assess flood susceptibility of the …
across the world. The present study attempts to assess flood susceptibility of the …
[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 …
because of the massive damage to agricultural land, roads and buildings and human …
[HTML][HTML] Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models
The flood hazard management is one of the major challenges in the floodplain regions
worldwide. With the rise in population growth and the spread of infrastructural development …
worldwide. With the rise in population growth and the spread of infrastructural development …