Articles | Volume 19, issue 6
Research article
02 Jun 2015
Research article |  | 02 Jun 2015

Flood frequency analysis of historical flood data under stationary and non-stationary modelling

M. J. Machado, B. A. Botero, J. López, F. Francés, A. Díez-Herrero, and G. Benito

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Quantitative historical hydrology in Europe
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Cited articles

Barriendos, M. and Coeur, D.: Flood data reconstruction in historical times from noninstrumental sources in Spain and France. In: Systematic, Palaeoflood and Historical Data for the Improvement of Flood Risk Estimation. Methodological Guidelines, edited by: Benito, G. and Thorndycraft, V. R., Centro de Ciencias Medioambientales, Madrid, Spain, 29–42. 2004.
Benito, G., Díez-Herrero, A., and Fernandez de Villalta, M.: Magnitude and frequency of flooding in the Tagus Basin (Central Spain) over the last millennium, Clim. Change, 58, 171–192, 2003.
Benito, G., Lang, M., Barriendos, M., Llasat, M. C., Francés, F., Ouarda, T., Thorndycraft, V.,Enzel, Y., Bardossy, A., Coeur, D., and Bobée, B.: Systematic, palaeoflood and historical datafor the improvement of flood risk estimation, Nat. Hazards, 31, 623–643, 2004.
Benito, G., Barriendos, M., Llasat, C., Machado, M., and Thorndycraft, V. R.: Impactos sobre los riesgos naturales de origen climático, in: Evaluación preliminar de los impactos en España por efecto del Cambio Climático, edited by: Moreno, J. M., Ministerio de Medioambiente, Madrid, 527–548, 2005.
Benito, G., Thorndycraft, V. R., Rico, M., Sánchez-Moya, Y., and Sopeña, A.: Palaeoflood and floodplain records from Spain: evidence for long-term climate variability and environmental changes, Geomorphology, 101, 68–77, 2008.
Short summary
A flood frequency analysis using a 400-year historical flood record was carried out using a stationary model (based on maximum likelihood estimators) and a non-stationary model that incorporates external covariates (climatic and environmental). The stationary model was successful in providing an average discharge around which value flood quantiles estimated by non-stationary models fluctuate through time.