Probabilistic model for real-time flood operation of a dam based on a deterministic optimization model

dc.contributor.authorCuevas-Velásquez V.
dc.contributor.authorSordo-Ward A.
dc.contributor.authorGarcía-Palacios J.H.
dc.contributor.authorBianucci P.
dc.contributor.authorGarrote L.
dc.date.accessioned2021-11-03T20:31:19Z
dc.date.available2021-11-03T20:31:19Z
dc.date.issued2020-11
dc.descriptionIndexación Scopuses
dc.description.abstractThis paper presents a real-time flood control model for dams with gate-controlled spillways that brings together the advantages of an optimization model based on mixed integer linear programming (MILP) and a case-based learning scheme using Bayesian Networks (BNets). A BNet model was designed to reproduce the causal relationship between inflows, outflows and reservoir storage. The model was trained with synthetic events generated with the use of the MILP model. The BNet model produces a probabilistic description of recommended dam outflows over a time horizon of 1 to 5 h for the Talave reservoir in Spain. The results of implementing the BNet recommendation were compared against the results obtained while applying two conventional models: the MILP model, which assumes full knowledge of the inflow hydrograph, and the Volumetric Evaluation Method (VEM), a method widely used in Spain that works in real-time, but without any knowledge of future inflows. In order to compare the results of the three methods, the global risk index (Ir) was computed for each method, based on the simulated behavior for an ensemble of hydrograph inflows. The Ir values associated to the 2 h-forecast BNet model are lower than those obtained for VEM, which suggests improvement over standard practice. In conclusion, the BNet arises as a suitable and efficient model to support dam operators for the decision making process during flood events. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.es
dc.description.urihttps://www.mdpi.com/2073-4441/12/11/3206
dc.identifier.citationWater (Switzerland), Volume 12, Issue 11, Pages 1 - 22November 2020 Article number 3206es
dc.identifier.doi10.3390/w12113206
dc.identifier.issn20734441
dc.identifier.urihttp://repositorio.unab.cl/xmlui/handle/ria/20729
dc.language.isoenes
dc.publisherMDPI AGes
dc.subjectMultireservoir Systemes
dc.subjectFlood Controles
dc.subjectHydropoweres
dc.titleProbabilistic model for real-time flood operation of a dam based on a deterministic optimization modeles
dc.typeArtículoes
Archivos
Bloque original
Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
Cuevas_V_Probabilistec_2020.pdf
Tamaño:
3.48 MB
Formato:
Adobe Portable Document Format
Descripción:
TEXTO COMPLETO EN INGLÉS
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descripción: