[HTML][HTML] Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
Flash floods are responsible for loss of life and considerable property damage in many
countries. Flood susceptibility maps contribute to flood risk reduction in areas that are prone …
countries. Flood susceptibility maps contribute to flood risk reduction in areas that are prone …
[HTML][HTML] Flooding and its relationship with land cover change, population growth, and road density
Bangladesh experiences frequent hydro-climatic disasters such as flooding. These disasters
are believed to be associated with land use changes and climate variability. However …
are believed to be associated with land use changes and climate variability. However …
Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling
This study aims to examine three machine learning (ML) techniques, namely random forest
(RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu …
(RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu …
Development of flood hazard map and emergency relief operation system using hydrodynamic modeling and machine learning algorithm
This study performs flood hazard mapping and evaluates community flood coping strategies.
In addition, it proposes a humanitarian aid information system (HAIS) to enhance emergency …
In addition, it proposes a humanitarian aid information system (HAIS) to enhance emergency …
Multi-hazard exposure mapping using machine learning for the State of Salzburg, Austria
TG Nachappa, O Ghorbanzadeh, K Gholamnia… - Remote Sensing, 2020 - mdpi.com
We live in a sphere that has unpredictable and multifaceted landscapes that make the risk
arising from several incidences that are omnipresent. Floods and landslides are widespread …
arising from several incidences that are omnipresent. Floods and landslides are widespread …
GIS-based spatial modeling of snow avalanches using four novel ensemble models
Snow avalanches can destroy lives and infrastructure and are very important phenomena in
some regions of the world. This study maps snow avalanche susceptibility in Sirvan …
some regions of the world. This study maps snow avalanche susceptibility in Sirvan …
A new hybrid firefly–PSO optimized random subspace tree intelligence for torrential rainfall-induced flash flood susceptible mapping
Flash flood is one of the most dangerous natural phenomena because of its high
magnitudes and sudden occurrence, resulting in huge damages for people and properties …
magnitudes and sudden occurrence, resulting in huge damages for people and properties …
A GIS-based comparative analysis of frequency ratio and statistical index models for flood susceptibility mapping in the Upper Krishna Basin, India
The Upper Krishna Basin in Maharashtra (India) is highly vulnerable to floods. This study
aimed to generate a flood susceptibility map for the basin using Frequency Ratio and …
aimed to generate a flood susceptibility map for the basin using Frequency Ratio and …
Mass movement susceptibility prediction and infrastructural risk assessment (IRA) using GIS-based Meta classification algorithms
In mountainous areas, mass movements are among the most dangerous natural hazards.
Infrastructure is a crucial component and is thought of as human wealth. This infrastructure is …
Infrastructure is a crucial component and is thought of as human wealth. This infrastructure is …
A novel hybrid quantum-PSO and credal decision tree ensemble for tropical cyclone induced flash flood susceptibility mapping with geospatial data
Flash flood is considered as one of the most destructive natural hazards worldwide,
especially in tropical countries, where tropical cyclones with torrential rains are recurrent …
especially in tropical countries, where tropical cyclones with torrential rains are recurrent …