scholarly journals A case study on the diagnosis and consequences of flash floods in south-western Romania: The upper basin of Desnatui River

2014 ◽  
Vol 64 (2) ◽  
pp. 161-176
Author(s):  
Gabriela Morosanu
Keyword(s):  
Flash Floods ◽  
Western Romania

scholarly journals How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data

Sensors ◽  
2018 ◽  
Vol 18 (3) ◽  
pp. 907 ◽  
Author(s):  
Gustavo Furquim ◽  
Geraldo Filho ◽  
Roozbeh Jalali ◽  
Gustavo Pessin ◽  
Richard Pazzi ◽  
...  
Keyword(s):  
Fault Tolerance ◽  
Real Data ◽  
Flash Floods

scholarly journals An attempt to deal with flash floods using a probabilistic hydrological nowcasting chain: a case study

2013 ◽  
Vol 1 (6) ◽  
pp. 7497-7515 ◽  
Author(s):  
F. Silvestro ◽  
N. Rebora ◽  
G. Cummings
Keyword(s):  
Large Scale ◽  
Weather Prediction ◽  
Precipitable Water ◽  
Flash Floods ◽  
Medium Size ◽  
Small Areas ◽  
Anticipation Time ◽  
Prediction Systems ◽  
Meteorological Models

Abstract. The forecast of flash floods is sometimes impossible. In the last two decades, Numerical Weather Prediction Systems have become increasingly reliable with very relevant improvements in terms of quantitative precipitation forecasts. However, some types of events, those that are intense and localized in small areas, are still very difficult to predict. In many cases meteorological models fail to predict the volume of precipitable water at the large scale. Despite the application of modern probabilistic chains that uses precipitation downscaling algorithms in order to forecast the streamflow, some significant flood events remain unpredicted. This was also the case with an event which occurred on 8 and 9 June 2011 in the eastern part of the Liguria Region, Italy. This event affected in particular the Entella basin, which is quite a small watershed that flows into the Mediterranean Sea. The application of a hydrological nowcasting chain as a tool for predicting flash-floods in small and medium size basins with an anticipation time of a few hours (2–5) is here presented. This work investigated the "behaviour" of the chain in the cited event and how it could be exploited for operational purposes. The results in this particular case were encouraging.

scholarly journals Warning! The use of meteorological information during a flash-flood warning process

2009 ◽  
Vol 3 (1) ◽  
pp. 99-103 ◽  
Author(s):  
L. Créton-Cazanave
Keyword(s):  
Emergency Services ◽  
Flash Flood ◽  
Local Population ◽  
Flash Floods ◽  
Decision Makers ◽  
Classical Approach ◽  
The Real ◽  
Flood Warning ◽  
Integrated Studies

Abstract. Warning is a key issue to reduce flash floods impacts. But, despite many studies, local and national authorities still struggle to issue good flash floods warnings. We will argue that this failure results from a classical approach of warnings, based on a strict separation between the assessment world and the action world. We will go further than the previous criticisms (Pielke and Carbone, 2002) and show that forecasters, decision makers, emergency services and local population have quite similar practices during a flash-flood warning. Focusing on the use of meteorological information in the warning process, our case study shows that more research about the real practices of stakeholders would be another step towards integrated studies.

scholarly journals GIS based Approach for Planning the Evacuation Process During Flash Floods: Case Study for Gampaha Divisional Secretariat Division, Sri Lanka

2021 ◽  
Vol 1 (1) ◽  
pp. 32
Author(s):  
E. A. K. R. Edirisinghe ◽  
P. G. R. N. I. Pussella ◽  
W. D. M. Vidarshana
Keyword(s):  
Sri Lanka ◽  
Flash Floods

scholarly journals Neural network modeling and geochemical water analyses to understand and forecast karst and non-karst part of flash floods (case study on the <i>Lez</i> river, Southern France)

2015 ◽  
Vol 369 ◽  
pp. 43-48 ◽  
Author(s):  
T. Darras ◽  
F. Raynaud ◽  
V. Borrell Estupina ◽  
L. Kong-A-Siou ◽  
S. Van-Exter ◽  
...  
Keyword(s):  
Flash Flood ◽  
Mediterranean Area ◽  
Flash Floods ◽  
Neural Network Modeling ◽  
Heterogeneous Structure ◽  
Nonlinear Behaviour ◽  
Complex Behaviour ◽  
Future Events ◽  
Water Analyses

Abstract. Flash floods forecasting in the Mediterranean area is a major economic and societal issue. Specifically, considering karst basins, heterogeneous structure and nonlinear behaviour make the flash flood forecasting very difficult. In this context, this work proposes a methodology to estimate the contribution from karst and non-karst components using toolbox including neural networks and various hydrological methods. The chosen case study is the flash flooding of the Lez river, known for his complex behaviour and huge stakes, at the gauge station of Lavallette, upstream of Montpellier (400 000 inhabitants). After application of the proposed methodology, discharge at the station of Lavallette is spited between hydrographs of karst flood and surface runoff, for the two events of 2014. Generalizing the method to future events will allow designing forecasting models specifically for karst and surface flood increasing by this way the reliability of the forecasts.

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