Performance analysis of developing water systems through the coupling hydrologic stochastic models and network flow optimization

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Alex Aviles
Abel Solera
Javier Paredes

Abstract

This study presents a methodology for analyzing the performance of water resources systems through a coupling stochastic models and models of optimization, with the aim of having a support tool for planning and management of supply and demand for water in basins in full development. Methods exposed the strength of statistical hydrological models to capture historical behavior patterns of streamflow time series and synthesize this information by generating likely future streamflow time series, and also the ability to link these series to the simulation models of water resources system management by optimizing conservative flow networks whose objective is to minimize deficits to supply water demands. The application of this methodology was performed in Tomebamba river basin in Ecuador, analyzing the potential water supply system, which could demonstrate the usefulness of the method to handle probabilistic information for the reservoir planning in a watershed and water resources systems management with water deficit and with an approach of risk of dissatisfaction of the demands.