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Preventing childhood drowning in New York: a state action plan. [PDF]
Inj EpidemiolPressley JC, McDonald MA.
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An autoencoder driven deep learning geospatial approach to flood vulnerability analysis in the upper and middle basin of river Damodar. [PDF]
Sci RepThappitla RS, Villuri VGK, Kumar S.
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XGBoost-based method for flash flood risk assessment
Journal of Hydrology, 2021Flash flood risk assessment, a widely applied technology in preventing catastrophic flash flood disasters, has become the current research hotspot. However, most existing machine learning methods for assessing flash flood risk rely on a single classifier,
Gang Zhao
exaly +2 more sources
Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees
Geocarto International, 2021Historical exploration of flash flood events and producing flash-flood susceptibility maps are crucial steps for decision makers in disaster management.
R. Abedi +3 more
semanticscholar +1 more source
FLOODWALL: A Real-Time Flash Flood Monitoring and Forecasting System Using IoT
IEEE Sensors Journal, 2023In recent years, flooding has become a major problem, encountered in many places all over the world, causing damage to property ranging from human life to economic losses.
Chandra Prakash +2 more
semanticscholar +1 more source
2023
The objectives of the chapter are the identification of flash flood causes, their negative effects on environmental factors, and to study of modeling with advanced hydroinformatic tools. The authors analyzed the following models: DUFLOW, developed by the International Institute for Hydraulic and Environmental Engineering, Delft, The Rijkswaterstaat ...
Erika Beata Maria Beilicci +1 more
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The objectives of the chapter are the identification of flash flood causes, their negative effects on environmental factors, and to study of modeling with advanced hydroinformatic tools. The authors analyzed the following models: DUFLOW, developed by the International Institute for Hydraulic and Environmental Engineering, Delft, The Rijkswaterstaat ...
Erika Beata Maria Beilicci +1 more
openaire +2 more sources
Flash flood susceptibility mapping using stacking ensemble machine learning models
Geocarto International, 2022The objective of the present study was to introduce a novel methodological approach for flash flood susceptibility modeling based on a stacking ensemble (SE) model.
Ioanna Ilia +4 more
semanticscholar +1 more source
Hydrometeorology of Flash Floods
2001Flash floods are phenomena in which the important hydrologic processes are occurring on the same spatial and temporal scales as the intense precipitation. To date, the time required for appropriate public response has typically been much longer than the time between the causative precipitation and the subsequent flash flood. The impact of a flash flood
M. Kelsch, CAPORALI, ENRICA, L. Lanza
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Flash flood susceptibility mapping in urban area using genetic algorithm and ensemble method
Geocarto International, 2022Flooding is the main recurring natural disaster in Sungai Pinang catchment, Malaysia. Flash flood susceptibility mapping (FFSM) explains a key component of flood risk analysis and enables efficient estimation of the spatial extent of flood ...
A. Saleh +5 more
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FLASH FLOOD FORECASTING USING FLASH FLOOD GUIDANCE SYSTEM PRODUCTS
SGEM International Multidisciplinary Scientific GeoConference� EXPO Proceedings, 2022Flash floods are defined as rapidly developing extreme events caused by heavy or excessive amounts of rainfall. Flash floods usually occur over a relatively small area within six hours or less of the extreme event with quite a rapid streamflow rise and fall.
Valeriya Yordanova +4 more
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