Romanowicz, Renata and Beven, Keith J. (1998) Dynamic real-time prediction of flood inundation probabilities. Hydrological Sciences - Journal des Sciences Hydrologiques, 43 (2). pp. 181-196. ISSN 0262-6667Full text not available from this repository.
The Bayesian Generalised Likelihood Uncertainty Estimation (GLUE) methodology, previously used in rainfall-runoff modelling, is applied to the distributed problem of predicting the space and time varying probabilities of inundation of all points on a flood plain. Probability estimates are based on conditioning predictions of Monte Carlo realizations of a distributed quasi-twodimensional flood routing model using known levels at sites along the reach. The methodology can be applied in the flood forecasting context for which the iV-step ahead inundation probability estimates can be updated in real time using telemetered information on water levels. It is also shown that it is possible to condition the Nstep ahead forecasts in real time using the (uncertain) on-line predictions of the downstream water levels at the end of the reach obtained from an adaptive transfer function model calibrated on reach scale inflow and outflow data.
|Journal or Publication Title:||Hydrological Sciences - Journal des Sciences Hydrologiques|
|Subjects:||G Geography. Anthropology. Recreation > GE Environmental Sciences|
|Departments:||Faculty of Science and Technology > Lancaster Environment Centre|
|Deposited On:||10 Feb 2009 14:27|
|Last Modified:||26 Jul 2012 15:52|
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