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Flood hazard map** methods: A review
Flood hazard map** (FHM) has undergone significant development in terms of approach
and capacity of the result to meet the target of policymakers for accurate prediction and …
and capacity of the result to meet the target of policymakers for accurate prediction and …
Flood susceptibility map** with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory
Floods are one of the most widespread natural hazards occurring across the globe. The
main objective of this study was to produce flood susceptibility maps for the province of …
main objective of this study was to produce flood susceptibility maps for the province of …
[HTML][HTML] Evaluating urban flood risk using hybrid method of TOPSIS and machine learning
With the growth of cities, urban flooding has increasingly become an issue for regional and
national governments. The destructive effects of floods are magnified in cities. Accurate …
national governments. The destructive effects of floods are magnified in cities. Accurate …
[HTML][HTML] Flood susceptibility map** 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.
Map** flood-prone areas is an important part of flood disaster management. In this study …
Map** flood-prone areas is an important part of flood disaster management. In this study …
Assessment of long and short-term flood risk using the multi-criteria analysis model with the AHP-Entropy method in Poyang Lake basin
J Wu, X Chen, J Lu - International Journal of Disaster Risk Reduction, 2022 - Elsevier
China suffers the most serious loss of life and property with the most floods in the world. In
this study, a multi-criteria analysis model with the combined analytic hierarchy process and …
this study, a multi-criteria analysis model with the combined analytic hierarchy process and …
GIS-based comparative assessment of flood susceptibility map** using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and …
Flood is a devastating natural hazard that may cause damage to the environment
infrastructure, and society. Hence, identifying the susceptible areas to flood is an important …
infrastructure, and society. Hence, identifying the susceptible areas to flood is an important …
AHP and TOPSIS based flood risk assessment-a case study of the Navsari City, Gujarat, India
Flooding is one of the major natural catastrophic disasters that causes massive
environmental and socioeconomic destruction. The magnitude of losses due to floods has …
environmental and socioeconomic destruction. The magnitude of losses due to floods has …
A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India
Abstract In the Sub-Himalayan foothills region of eastern India, floods are considered the
most powerful annually occurring natural disaster, which cause severe losses to the socio …
most powerful annually occurring natural disaster, which cause severe losses to the socio …
A novel machine learning tool for current and future flood susceptibility map** by integrating remote sensing and geographic information systems
Flood map** is essential for managing and mitigating the risks associated with flood
events. This study integrates weighted overlay analysis and analytical network process to …
events. This study integrates weighted overlay analysis and analytical network process to …
Urban flood risk map** using the GARP and QUEST models: A comparative study of machine learning techniques
Flood risk map** and modeling is important to prevent urban flood damage. In this study,
a flood risk map was produced with limited hydrological and hydraulic data using two state …
a flood risk map was produced with limited hydrological and hydraulic data using two state …