首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Flood frequency analysis using historical data: accounting for random and systematic errors
Authors:Luc Neppel  Benjamin Renard  Michel Lang  Pierre-Alain Ayral  Denis Coeur  Eric Gaume
Institution:1. UMR HydroSciences Montpellier – Universite Montpellier II – Place Eugene Bataillon, CC MSE , F-34090, Montpellier Cedex 5, France neppel@msem.univ-montp2.fr;3. Hydrology–Hydraulics, Cemagref Lyon , 3 bis Quai Chauveau, CP 220, F-69336, Lyon Cedex 09, France;4. Ecole des Mines d'Alès, LGEI , 6 Avenue de Clavières, F-30100, Alès, France;5. ACTHYS Diffusion , 253, Chemin de Plate-Rousset, F-38330, Biviers, France;6. LCPC, Route de Bouaye , BP 4129, F-44341, Bouguenais Cedex, France
Abstract:Abstract

Flood frequency analysis based on a set of systematic data and a set of historical floods is applied to several Mediterranean catchments. After identification and collection of data on historical floods, several hydraulic models were constructed to account for geomorphological changes. Recent and historical rating curves were constructed and applied to reconstruct flood discharge series, together with their uncertainty. This uncertainty stems from two types of error: (a) random errors related to the water-level readings; and (b) systematic errors related to over- or under-estimation of the rating curve. A Bayesian frequency analysis is performed to take both sources of uncertainty into account. It is shown that the uncertainty affecting discharges should be carefully evaluated and taken into account in the flood frequency analysis, as it can increase the quantiles confidence interval. The quantiles are found to be consistent with those obtained with empirical methods, for two out of four of the catchments.

Citation Neppel, L., Renard, B., Lang, M., Ayral, P.-A., Coeur, D., Gaume, E., Jacob, N., Payrastre, O., Pobanz, K. & Vinet, F. (2010) Flood frequency analysis using historical data: accounting for random and systematic errors. Hydrol. Sci. J. 55(2), 192–208.
Keywords:historical flood  Bayesian flood frequency analysis  discharge errors  Mediterranean catchment
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号