Abstract
This paper presents two probabilistic methods applications for extreme floods analysis and the individual flood forecast model. Case study numerical results are presented and some compared with the similar ones published in literature.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kopustinskas V., Thedeen T., Yang J., Safety Study of Kaunas Dam., Proc. Twentieth International Congress on Large Dams., Beijng, China, 2000.
Oliveira, J. T., Bivariate extremes; Extensions., Bulletin of the International Statistical Institute, Proceedings of the 40th Session, Warsaw, 46, Book 2, 241–252 p., 1975
Yue, S., Ouarda, T. B. M. J., Bobée, B., Legendre, P., Bruneau, P., The Gumbel mixed model for flood frequency analysis., Journal of Hydrology, 226, 88–100 p., 1999
Todorovic, P., Stochastic models for floods., Water Resources Research, 14(2), 345–356 p., 1978
Ashkar F., Bruneau P., Bobée, B., Probability distribution levels from joint probability of stream flows., Computer methods and water res. Conference II, Vol.2., Computational hydraulics and hydrology, 185–197 p., 1991.
Choulakian V., El-Jabi, N., Moussi J., On the distribution of flood volume in partial duration series analysis of flood phenomena., Stochastic Hydrology and Hydraulics, 4, 217–226 p., 1990.
Uspuras E., Simaityte J., Kaunas Dam Overtopping Probability Estimation. The Third International Conference on Computer Simulation in Risk Analysis and Hazard Mitigation, 19-21 June 2002, Sintra, Portugal.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag London
About this paper
Cite this paper
Volskiene, J.S., Uspuras, E., Augutis, J. (2004). Flood Forecast Model and Probabilistic Analysis. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_493
Download citation
DOI: https://doi.org/10.1007/978-0-85729-410-4_493
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1057-6
Online ISBN: 978-0-85729-410-4
eBook Packages: Springer Book Archive