Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
Flash-floods are increasingly recognized as a frequent natural hazard worldwide. Iran has
been among the most devastated regions affected by the major floods. While the temporal …
been among the most devastated regions affected by the major floods. While the temporal …
Flash flood susceptibility assessment using the parameters of drainage basin morphometry in SE Bangladesh
Predicting the occurrence and spatial patterns of rainfall induced flash floods is still a
challenge. Instant genesis and typically smaller areal coverage of the flash floods are the …
challenge. Instant genesis and typically smaller areal coverage of the flash floods are the …
Morphometric analysis and prioritisation of watersheds for flood risk management in Wadi Easal Basin (WEB), Jordan, using geospatial technologies
Morphometric analysis and sub‐watersheds prioritisation were carried out for the Wadi
Easal Basin, Jordan, which is characterised by a high topographic diversity. The total …
Easal Basin, Jordan, which is characterised by a high topographic diversity. The total …
Susceptibility assessment of flash floods: a bibliometrics analysis and review
L Duan, C Liu, H Xu, H Pan, H Liu, X Yan, T Liu… - Remote Sensing, 2022 - mdpi.com
A flash flood disaster is one of the most destructive natural disasters. With the increase in
extreme rainfall events, more and more areas will be threatened by flash floods. The flash …
extreme rainfall events, more and more areas will be threatened by flash floods. The flash …
Flash flood susceptibility modeling using geo-morphometric and hydrological approaches in Panjkora Basin, Eastern Hindu Kush, Pakistan
This main objective of this study is flash flood susceptibility modeling using geo-
morphometric and hydrological approaches in Panjkora Basin, Eastern Hindu Kush …
morphometric and hydrological approaches in Panjkora Basin, Eastern Hindu Kush …
Monthly runoff forecasting using variational mode decomposition coupled with gray wolf optimizer-based long short-term memory neural networks
BJ Li, GL Sun, Y Liu, WC Wang, XD Huang - Water Resources …, 2022 - Springer
Accurate and reliable monthly runoff forecasting plays an important role in making full use of
water resources. In recent years, long short-term memory neural networks (LSTM), as a …
water resources. In recent years, long short-term memory neural networks (LSTM), as a …
Assessment of satellite-based precipitation measurement products over the hot desert climate of Egypt
MS Nashwan, S Shahid, X Wang - Remote Sensing, 2019 - mdpi.com
The performance of three satellite-based high-resolution gridded rainfall datasets, namely
the gauge corrected Global Satellite Mapping of Precipitation (GSMaP), Integrated Multi …
the gauge corrected Global Satellite Mapping of Precipitation (GSMaP), Integrated Multi …
Flash flooding hazard assessment, modeling, and management in the coastal zone of Ras Ghareb City, Gulf of Suez, Egypt
MO Arnous, AE El-Rayes, H El-Nady… - Journal of Coastal …, 2022 - Springer
The assessment of flash flood hazards in the coastal zone of Ras Ghareb City (RGC), Red
Sea, Egypt, was accomplished through the use of GIS tools and the spatial multi-criteria …
Sea, Egypt, was accomplished through the use of GIS tools and the spatial multi-criteria …
[HTML][HTML] Appraisal of gaps and challenges in Sendai framework for disaster risk reduction priority 1 through the lens of science, technology and innovation
A Rahman, C Fang - Progress in disaster science, 2019 - Elsevier
The UN has adopted the Sendai Framework for Disaster Risk Reduction (2015–2030;
SFDRR) in March 2015 and the member countries agreed to shift from disaster management …
SFDRR) in March 2015 and the member countries agreed to shift from disaster management …
Flash flood susceptibility prediction mapping for a road network using hybrid machine learning models
Flash flood is one of the most common natural hazards affecting many mountainous areas.
Previous studies explored flash flood susceptibility models; however, there is still a lack of …
Previous studies explored flash flood susceptibility models; however, there is still a lack of …