Improving flash flood frequency analyses by using non-systematic dendrogeomorphic data

Mediero Orduña, Luis Jesus; Bodoque del Pozo, Jose Maria; Garrote, Julio; Ballesteros Cánovas, Juan Antonio y Aroca Jiménez, Estefanía (2017). Improving flash flood frequency analyses by using non-systematic dendrogeomorphic data. "Geophysical Research Abstracts", v. 19 ; p. 12379. ISSN 1607-7962.

Descripción

Título: Improving flash flood frequency analyses by using non-systematic dendrogeomorphic data
Autor/es:
  • Mediero Orduña, Luis Jesus
  • Bodoque del Pozo, Jose Maria
  • Garrote, Julio
  • Ballesteros Cánovas, Juan Antonio
  • Aroca Jiménez, Estefanía
Tipo de Documento: Artículo
Título de Revista/Publicación: Geophysical Research Abstracts
Fecha: 2017
Volumen: 19
Materias:
Escuela: E.T.S.I. Caminos, Canales y Puertos (UPM)
Departamento: Ingeniería Civil: Hidráulica, Energía y Medio Ambiente
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Flash floods have a rapid hydrological response in catchments with short lag times, characterized by “peaky” hydrographs. The peak flows are reached within a few hours, thus giving little or no advance warning to prevent and mitigate flood damage. As a result, flash floods may result in a high social risk, as shown for instance by the 1997 Biescas disaster in Spain. The analysis and management of flood risk are clearly conditioned by data availability, especially in mountain areas where usually flash-floods occur. Nevertheless, in mountain basins there is often short data series available that are not accurate in terms of statistical significance. In addition, when flow data is ready for use maximum annual values are generally not as reliable as average flow values, since conventional stream gauge stations may not record the extreme floods, leading to gaps in the time series. Dendrogeomorphology has been shown to be especially useful for improving flood frequency analyses in catchments where short flood series limit the use of conventional hydrological methods. This study presents pros and cons of using a given probability distribution function, such as the Generalized Extreme Value (GEV), and Bayesian Markov Chain Monte Carlo (MCMC) methods to account for non-systematic data provided by dendrogeomorphic techniques, in order to asses flood quantile estimates accuracy. To this end, we have considered a set of locations in Central Spain, where systematic flow available at a gauging site can be extended with non-systematic data obtained from implementation of dendrogeomorphic techniques.

Más información

ID de Registro: 46677
Identificador DC: http://oa.upm.es/46677/
Identificador OAI: oai:oa.upm.es:46677
URL Oficial: http://meetingorganizer.copernicus.org/EGU2017/EGU2017-12379.pdf
Depositado por: Memoria Investigacion
Depositado el: 13 Jun 2017 12:06
Ultima Modificación: 13 Jun 2017 12:06
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