Título:
Steps towards an early warning model for flood forecasting in Durazno city in Uruguay
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Director:
Compilador:
Autor:
Silveira, Luis
López, Guillermo
Chreties, Christian
Crisci, Magdalena
López, Guillermo
Chreties, Christian
Crisci, Magdalena
Tutor:
Tipo de documento:
Preprint
Editor:
Palabras clave:
Decision support system
Flooded areas
Hydrologic–hydrodynamic model
Rainfall forecasts
Flooded areas
Hydrologic–hydrodynamic model
Rainfall forecasts
Descriptores:
Año de publicación:
2012
Contenido:
Resumen:
A hydrologic–hydrodynamic model of the Yi River basins in Uruguay has been developed as a support tool to the Emergency Coordination Centre of Durazno city. The purpose was to improve the existing decision support system and the emergency planning by providing information on gauge height and its permanence in time, and the risk of flooded areas. Four past flood events of high return period were used for calibration and validation with accurate results. The input data to the operational model in real time are hourly observed rainfall and gauge height, as well as rainfall forecasts by several international sources. The use of predictions fromnumerical weather forecasts allows for the generation of pre-alert scenarios with larger lead time. These scenarios can warn the emergency coordinators, and thus are of great value to premanage a probable emergency. Operation of a meteorological weather alert issued by the National Meteorological Board is discussed.
Descripción:
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Citación:
Silveira, L., López, G., Chreties, C. y otros. Steps towards an early warning model for flood forecasting in Durazno city in Uruguay. [Preprint]. Publicado en: Journal of Flood Risk Management, 2012, vol. 5, no. 3, sep. 2012, pp. 270-280. DOI: 10.1111/j.1753-318X.2012.01146.x.
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Cobertura geográfica:
Ciudad de Durazno, Departamento de Durazno, Uruguay.
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Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| SLCC12.pdf | Preprint | 1.43 MB | Adobe PDF |