HR: 1340h
AN: H23B-1427    [Abstracts]
TI: An Alternative Approach to the Operation of Multinational Reservoir Systems: Application to the Amistad & Falcon System (Lower Rio Grande/Rí-o Bravo)
AU: * Serrat-Capdevila, A
EM: aleix@email.arizona.edu
AF: Sustainability of semi-Arid Hydrology and Riparian Areas, University of Arizona Marshall Building 845 N. Park, 5th Floor, Tucson, AZ 85721-0158 United States
AU: * Serrat-Capdevila, A
EM: aleix@email.arizona.edu
AF: Department of Hydrology and Water Resources The University of Arizona, 1133 E. North Campus Drive Harshbarger Bldg. P.O. Box 210011, Tucson, AZ 85721 United States
AU: * Serrat-Capdevila, A
EM: aleix@email.arizona.edu
AF: Udall Center for Studies in Public Policy The University of Arizona, 803 East First Street, Tucson, AZ 85719 United States
AU: Valdes, J B
EM: jvaldes@u.arizona.edu
AF: Sustainability of semi-Arid Hydrology and Riparian Areas, University of Arizona Marshall Building 845 N. Park, 5th Floor, Tucson, AZ 85721-0158 United States
AU: Valdes, J B
EM: jvaldes@u.arizona.edu
AF: Department of Civil Engineering and Engineering Mechanics The University of Arizona, CE Bldg, Room 206, P.O. Box 210072, Tucson, AZ 85721 United States
AB: An optimization approach for the operation of international multi-reservoir systems is presented. The approach uses Stochastic Dynamic Programming (SDP) algorithms, both steady-state and real-time, to develop two models. In the first model, the reservoirs and flows of the system are aggregated to yield an equivalent reservoir, and the obtained operating policies are disaggregated using a non-linear optimization procedure for each reservoir and for each nation water balance. In the second model a multi-reservoir approach is applied, disaggregating the releases for each country water share in each reservoir. The non-linear disaggregation algorithm uses SDP-derived operating policies as boundary conditions for a local time-step optimization. Finally, the performance of the different approaches and methods is compared. These models are applied to the Amistad-Falcon International Reservoir System as part of a binational dynamic modeling effort to develop a decision support system tool for a better management of the water resources in the Lower Rio Grande Basin, currently enduring a severe drought.
DE: 1803 Anthropogenic effects (4802, 4902)
DE: 1831 Groundwater quality
DE: 1871 Surface water quality
DE: 1884 Water supply
DE: 1894 Instruments and techniques: modeling
SC: Hydrology [H]
MN: Fall Meeting 2005