An alternative approach to the operation of multinational reservoir systems: Application to the Amistad and Falcon system (Lower Rio Grande/Río Bravo)

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

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's water balance. In the second model a multi-reservoir approach is applied, disaggregating the releases for each country's 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.

Original languageEnglish (US)
Pages (from-to)677-698
Number of pages22
JournalWater Resources Management
Volume21
Issue number4
DOIs
StatePublished - Apr 1 2007

Keywords

  • Country water budgets
  • Multi-reservoir modeling approach
  • Multinational reservoir systems
  • Quantitative model comparison
  • Stochastic dynamic programming

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Water Science and Technology

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