Redirigiendo al acceso original de articulo en 21 segundos...
Inicio  /  Hydrology  /  Vol: 10 Par: 10 (2023)  /  Artículo
ARTÍCULO
TITULO

Efficient Flood Early Warning System for Data-Scarce, Karstic, Mountainous Environments: A Case Study

Evangelos Rozos    
Vasilis Bellos    
John Kalogiros and Katerina Mazi    

Resumen

This paper presents an efficient flood early warning system developed for the city of Mandra, Greece which experienced a devastating flood event in November 2017 resulting in significant loss of life. The location is of particular interest due to both its small-sized water basin (20 km2" role="presentation">22 2 upstream of the studied cross-section), necessitating a rapid response time for effective flood warning calculations, and the lack of hydrometric data. To address the first issue, a database of pre-simulated flooding events with a 2D hydrodynamic model corresponding to synthetic precipitations with different return periods was established. To address the latter issue, the hydrological model was calibrated using qualitative information collected after the catastrophic event, compensating for the lack of hydrometric data. The case study demonstrates the establishment of a hybrid (online?offline) flood early warning system in data-scarce environments. By utilizing pre-simulated events and qualitative information, the system provides valuable insights for flood forecasting and aids in decision-making processes. This approach can be applied to other similar locations with limited data availability, contributing to improved flood management strategies and enhanced community resilience.

 Artículos similares

       
 
Ulrich A. Ngamalieu-Nengoue, Pedro L. Iglesias-Rey, F. Javier Martínez-Solano and Daniel Mora-Meliá    
Extreme rainfall events cause immense damage in cities where drainage networks are nonexistent or deficient and thus unable to transport rainwater. Infrastructure adaptations can reduce flooding and help the population avoid the associated negative conse... ver más
Revista: Water

 
DongSoon Park and Hojun You    
This paper presents an innovative digital twin dam and watershed management platform, K-Twin SJ, that utilizes real-time data and simulation models to support decision-making for flood response and water resource management. The platform includes a GIS-b... ver más
Revista: Water

 
Abdelmounim Bouadila, Ismail Bouizrou, Mourad Aqnouy, Khalid En-nagre, Yassine El Yousfi, Azzeddine Khafouri, Ismail Hilal, Kamal Abdelrahman, Lahcen Benaabidate, Tamer Abu-Alam, Jamal Eddine Stitou El Messari and Mohamed Abioui    
In semi-arid regions such as the southwestern zone of Morocco, better management of water resources is crucial due to the frequent flooding phenomena. In this context, the use of hydrological models is becoming increasingly important, specifically in the... ver más
Revista: Water

 
Fazlul Karim, Mohammed Ali Armin, David Ahmedt-Aristizabal, Lachlan Tychsen-Smith and Lars Petersson    
Machine learning (also called data-driven) methods have become popular in modeling flood inundations across river basins. Among data-driven methods, traditional machine learning (ML) approaches are widely used to model flood events, and recently deep lea... ver más
Revista: Water

 
Umair Iqbal, Muhammad Zain Bin Riaz, Jiahong Zhao, Johan Barthelemy and Pascal Perez    
Floods are one of the most often occurring and damaging natural hazards. They impact the society on a massive scale and result in significant damages. To reduce the impact of floods, society needs to keep benefiting from the latest technological innovati... ver más
Revista: Drones