[HTML][HTML] Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression
Flood has long been known as one of the most catastrophic natural hazards worldwide.
Mapping flood-prone areas is an important part of flood disaster management. In this study …
Mapping flood-prone areas is an important part of flood disaster management. In this study …
Comparison of machine learning algorithms for flood susceptibility mapping
Floods are one of the most destructive natural disasters, causing financial and human losses
every year. As a result, reliable Flood Susceptibility Mapping (FSM) is required for effective …
every year. As a result, reliable Flood Susceptibility Mapping (FSM) is required for effective …
Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India
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 …
disaster. The objective of this study is to develop flood susceptibility maps for the Idukki …
Spatial characteristics and driving factors of urban flooding in Chinese megacities
Abstract Changes in hydrological processes caused by rapid urbanization lead to the
growing incidence of urban flooding, which is a major challenge to urban sustainability …
growing incidence of urban flooding, which is a major challenge to urban sustainability …
GIS-based hybrid machine learning for flood susceptibility prediction in the Nhat Le–Kien Giang watershed, Vietnam
HD Nguyen - Earth Science Informatics, 2022 - Springer
Floods is a natural hazard that occurs over a short time with a high transmission speed.
Flood risk management in many countries employs flood susceptibility modeling to mitigate …
Flood risk management in many countries employs flood susceptibility modeling to mitigate …
Spatial analysis of flood hazard zoning map using novel hybrid machine learning technique in Assam, India
Twenty-two flood-causative factors were nominated based on morphometric, hydrological,
soil permeability, terrain distribution, and anthropogenic inferences and further analyzed …
soil permeability, terrain distribution, and anthropogenic inferences and further analyzed …
[HTML][HTML] Comparison of the fuzzy analytic hierarchy process (F-AHP) and fuzzy logic for flood exposure risk assessment in arid regions
Flood risk assessment is an important tool for urban planning, land development, and
hydrological analysis. The flood risks are very high in arid countries due to the nature of the …
hydrological analysis. The flood risks are very high in arid countries due to the nature of the …
Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch
Floods are the most common and costly disasters worldwide, while spatial flood risk
assessment is still challenging due to fewer observations and method limitations. In this …
assessment is still challenging due to fewer observations and method limitations. In this …
[HTML][HTML] An integration of geospatial and fuzzy-logic techniques for multi-hazard mapping
A hazard is a natural occurrence that might harm humans, animals or the environment. It
may cause loss of life, illness or other health consequences, property damage, social and …
may cause loss of life, illness or other health consequences, property damage, social and …
Flood-based critical sub-watershed mapping: comparative application of multi-criteria decision making methods and hydrological modeling approach
Abstract The effects of Sub-Watersheds (SWs) on each other can be more important in Flood
Generation Potential (FGP). Therefore, the present study aims for prioritizing SWs based on …
Generation Potential (FGP). Therefore, the present study aims for prioritizing SWs based on …