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
TG Nachappa, ST Piralilou, K Gholamnia… - Journal of …, 2020 - Elsevier
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] Spatial flood susceptibility map** using an explainable artificial intelligence (XAI) model
Floods are natural hazards that lead to devastating financial losses and large displacements
of people. Flood susceptibility maps can improve mitigation measures according to the …
of people. Flood susceptibility maps can improve mitigation measures according to the …
[HTML][HTML] Predicting flood susceptibility using LSTM neural networks
Identifying floods and producing flood susceptibility maps are crucial steps for decision-
makers to prevent and manage disasters. Plenty of studies have used machine learning …
makers to prevent and manage disasters. Plenty of studies have used machine learning …
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 …
Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction map** in the Middle Ganga Plain, India
This study is an attempt to quantitatively test and compare novel advanced-machine
learning algorithms in terms of their performance in achieving the goal of predicting flood …
learning algorithms in terms of their performance in achieving the goal of predicting flood …
A review of nature-based solutions for urban water management in European circular cities: a critical assessment based on case studies and literature
Nature-based solutions (NBS) can protect, manage and restore natural or modified
ecosystems. They are a multidisciplinary, integrated approach to address societal …
ecosystems. They are a multidisciplinary, integrated approach to address societal …
A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India
The exponential growth in the number of flash flood events is a global threat, and detecting a
flood-prone area has also become a top priority. The flash flood-susceptibility map** can …
flood-prone area has also become a top priority. The flash flood-susceptibility map** can …
[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 …
Flood susceptibility map** using convolutional neural network frameworks
Flood is a very destructive natural disaster in the world, which seriously threatens the safety
of human life and property. In this paper, the most popular convolutional neural network …
of human life and property. In this paper, the most popular convolutional neural network …