Interpretable flash flood susceptibility mapping in Yarlung Tsangpo River Basin using H2O Auto-ML [PDF]
Flash flood susceptibility mapping is essential for identifying areas prone to flooding events and aiding decision-makers in formulating effective prevention measures.
Fei He +3 more
doaj +3 more sources
Forecasting of flash flood susceptibility mapping using random forest regression model and geographic information systems. [PDF]
Flash floods, rapid and devastating inundations of water, are increasingly linked to the intensifying effects of climate change, posing significant challenges for both vulnerable communities and sustainable environmental management.
Wahba M +5 more
europepmc +2 more sources
Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors. [PDF]
There is an evident increase in the importance that remote sensing sensors play in the monitoring and evaluation of natural hazards susceptibility and risk.
Costache R +8 more
europepmc +2 more sources
Hybrid-based Bayesian algorithm and hydrologic indices for flash flood vulnerability assessment in coastal regions: machine learning, risk prediction, and environmental impact. [PDF]
Natural hazards and severe weather events are a matter of serious threat to humans, economic activities, and the environment. Flash floods are one of the extremely devastating natural events around the world.
Abu El-Magd SA, Maged A, Farhat HI.
europepmc +2 more sources
Managing flash flood crises with cultural perspectives: A user-centric feature identification study. [PDF]
Flash floods are severe disaster that have caused enormous damage to people, property, and the environment. Despite the conventional emphasis on technical and engineering solutions in controlling flash flood disasters, this study investigates the ...
Siti Fatimah Abdul Razak +3 more
doaj +2 more sources
A rapid and efficient method for flash flood simulation based on deep learning
Among the various natural disasters, the death caused by flash flood is the highest. Recently, the combination of deep learning methods and hydrodynamic models has shown superior performance in the simulation of urban and plain areas.
Xinying Wang +5 more
doaj +2 more sources
In southwest China, flash floods occur frequently and often cause severe damage to residential building areas, especially in mountainous rural settlements. Risk assessment is crucial in the hazard mitigation policies and measures.
Yiwei Zhen +10 more
doaj +2 more sources
Mapping flash flood susceptibility is effective for mitigating the negative impacts of flash floods. However, a variety of conditioning factors have been used to generate susceptibility maps in various studies.
Jianuo Li +5 more
doaj +2 more sources
This report summarizes results of a research project sub-task performed under the supervision of the Ministry of the Environment between 2007 and 2011. It deals with determination of occurrence probability of flash floods resulting from torrential rain events.
Petr Sercl +6 more
openaire +2 more sources
ASSESSEMENT OF FLASH-FLOOD SUSCEPTIBILITY IN SMALL RIVER BASINS [PDF]
Due to the climate changes occurred in the last decades the frequency and intensity of hydrological risk phenomena are also increasing. The flash-floods are considered the most devastating natural hazards around worldwide.
Andreea DRAGOMIR +2 more
doaj +1 more source

