Results 51 to 60 of about 700,264 (300)

Predicting Eastern Mediterranean Flash Floods Using Support Vector Machines with Precipitable Water Vapor, Pressure, and Lightning Data

Remote Sensing, 2023
Flash floods in the Eastern Mediterranean (EM) region are considered among the most destructive natural hazards, which pose a significant challenge to model due to their high complexity.
Saed Asaly, Lee-Ad Gottlieb, Yoav Yair, Colin Price, Yuval Reuveni   +4 more
doaj   +1 more source

Flash Flooding

Cell Reports Sustainability
This product is a learning artifact from the Fall 2025 semester of the Honors and UAP SuperStudio courses (UH-4504, UAP-4914, and UH-4514).
Yerneni, Avekra, Fansler, Ashley, Alexis, Andrew, Shankar, Adhi, O'Brien, Gavin   +4 more
openaire   +3 more sources

A Study on the Zoning Method of Flash Flood Control for Mountainous Cities: A Case Study of Yunnan Province

Applied Sciences
Flash floods are the most serious natural disasters in China and seriously affect its social and economic development. The transformation of the underlying surface caused by urbanization also brings new challenges to the prevention and control of flash ...
Zhixiong Zhang, Qing Li, Changjun Liu, Yao Chen   +3 more
doaj   +1 more source

Development of a Flash Flood Confidence Index from Disaster Reports and Geophysical Susceptibility

Remote Sensing, 2021
The analysis of historical disaster events is a critical step towards understanding current risk levels and changes in disaster risk over time. Disaster databases are potentially useful tools for exploring trends, however, criteria for inclusion of ...
Andrew Kruczkiewicz, Agathe Bucherie, Fernanda Ayala, Carolynne Hultquist, Humberto Vergara, Simon Mason, Juan Bazo, Alex de Sherbinin   +7 more
doaj   +1 more source

Flash Flood Susceptibility Mapping in Sinai, Egypt Using Hydromorphic Data, Principal Component Analysis and Logistic Regression

Water, 2022
Flash floods in the Sinai often cause significant damage to infrastructure and even loss of life. In this study, the susceptibility to flash flooding is determined using hydro-morphometric characteristics of the catchments.
M. El-Rawy, Wael M. Elsadek, F. De Smedt
semanticscholar   +1 more source

Hydrometeorological analysis of a flash flood event in an ungauged Mediterranean watershed under an operational forecasting and monitoring context

Meteorological Applications, 2022
The current study presents the first attempt to investigate the November 2019 catastrophic flash flood in Olympiada (North Greece) under an operational forecasting and monitoring context, based on the mesoscale weather and research forecasting (WRF ...
Christos Giannaros, S. Dafis, S. Stefanidis, T. Giannaros, I. Koletsis, C. Oikonomou   +5 more
semanticscholar   +1 more source

Low-Cost Solutions for Assessment of Flash Flood Impacts Using Sentinel-1/2 Data Fusion and Hydrologic/Hydraulic Modeling: Wadi El-Natrun Region, Egypt

Advances in Civil Engineering, 2020
Flash floods are among the most common natural hazards in Egyptian and Arabian deserts. In this work, we utilized two Sentinel-1 and Sentinel-2 satellite images, before and after the flash flood, SRTM, and geolocated terrestrial photos captured by ...
Mohammed Sadek, Xuxiang Li, Eman Mostafa, Mohamed Freeshah, Ahmed Kamal, Mohamed Adou Sidi Almouctar, Fubo Zhao, Elhadi K. Mustafa   +7 more
doaj   +1 more source

Deep Convolutional LSTM for improved flash flood prediction

Frontiers in Water
Flooding remains one of the most devastating and costly natural disasters. As flooding events grow in frequency and intensity, it has become increasingly important to improve flood monitoring, prediction, and early warning systems.
P. Oddo, J. Bolten, Sujay V. Kumar, B. Cleary   +3 more
semanticscholar   +1 more source

Flash-floods control

Periódico Eletrônico Fórum Ambiental da Alta Paulista, 2021
Flash-Floods are among the hydrological disasters that most damage life and structures in Brazil. The frequency and impacts of flash-floods may become an increasing problem due to the future scenario of an increase in global temperature causing intense precipitation.
Emerson Luís Pawoski da Silva, Maria Helena de Carvalho Rodrigues Silva, Francisco de Assis Mendonça   +2 more
openaire   +2 more sources

Hybrid Models Incorporating Bivariate Statistics and Machine Learning Methods for Flash Flood Susceptibility Assessment Based on Remote Sensing Datasets

Remote Sensing, 2021
Flash floods are considered to be one of the most destructive natural hazards, and they are difficult to accurately model and predict. In this study, three hybrid models were proposed, evaluated, and used for flood susceptibility prediction in the Dadu ...
Jun Liu, Jiyan Wang, J. Xiong, W. Cheng, Huaizhang Sun, Zhi-wei Yong, Nan Wang   +6 more
semanticscholar   +1 more source