Fully Stochastic Distributed Methodology for Multivariate Flood Frequency Analysis
AbstractAn adequate estimation of the extreme behavior of basin response is essential both for designing river structures and for evaluating their risk. The aim of this paper is to develop a new methodology to generate extreme hydrograph series of thousands of years using an event-based model. To this end, a spatial-temporal synthetic rainfall generator (RainSimV3) is combined with a distributed physically-based rainfall–runoff event-based model (RIBS). The use of an event-based model allows simulating longer hydrograph series with less computational and data requirements but need to characterize the initial basis state, which depends on the initial basin moisture distribution. To overcome this problem, this paper proposed a probabilistic calibration–simulation approach, which considers the initial state and the model parameters as random variables characterized by a probability distribution though a Monte Carlo simulation. This approach is compared with two other approaches, the deterministic and the semi-deterministic approaches. Both approaches use a unique initial state. The deterministic approach also uses a unique value of the model parameters while the semi-deterministic approach obtains these values from its probability distribution through a Monte Carlo simulation, considering the basin variability. This methodology has been applied to the Corbès and Générargues basins, in the Southeast of France. The results show that the probabilistic approach offers the best fit. That means that the proposed methodology can be successfully used to characterize the extreme behavior of the basin considering the basin variability and overcoming the basin initial state problem. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Flores-Montoya, I.; Sordo-Ward, Á.; Mediero, L.; Garrote, L. Fully Stochastic Distributed Methodology for Multivariate Flood Frequency Analysis. Water 2016, 8, 225.
Flores-Montoya I, Sordo-Ward Á, Mediero L, Garrote L. Fully Stochastic Distributed Methodology for Multivariate Flood Frequency Analysis. Water. 2016; 8(6):225.Chicago/Turabian Style
Flores-Montoya, Isabel; Sordo-Ward, Álvaro; Mediero, Luis; Garrote, Luis. 2016. "Fully Stochastic Distributed Methodology for Multivariate Flood Frequency Analysis." Water 8, no. 6: 225.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.