The purpose of this study is development of decision support system(DSS) for optimal reservoir operation based on real-time hydrological data. This study include the present state of existing DSS for water management, development process, system desig...
The purpose of this study is development of decision support system(DSS) for optimal reservoir operation based on real-time hydrological data. This study include the present state of existing DSS for water management, development process, system design and construction, application in test-bed and system estimation.
DSS in this study is consist of three major components; analysis model, database and graphic user interface. The analysis models contain continuous rainfall-runoff analysis model(SSARR), reservoirs system optimization and simulation models(CoMOM, KorSim) and water quality simulation model(Qual2e). Each individual model is interfaced with the others through the simulation model DB and shares required input or output data.
Database is consist of a real-time DB, hydrological DB and a analysis model DB. The real-time DB is designed to acquire and store the data collected from the local monitoring networks. The hydrological DB is a DBMS that contains validated data, and static data saved in the DB. and the data in this DB is used input data for the modular modeling systems. The output from analysis model such as river flows, reservoir inflows and outflows, and ESP forecasts will be stored in the simulation model DB.
The graphic user interface present temporal and spatial variations of water quantity and quality in the river basin and serve as a decision support tool for basin-wide water management.
This decision support system as the coordinated multiple reservoir management system consider not only water quantity and water quality simultaneously, but also water use priority and maximization of water benefit and its systems optimal behavior under uncertainty. Finally the DSS was applied and tested in the Geum river basin.
The technical framework of the DSS in this study was developed by support of the New Frontier Program (2001 - 2010) securing the additional water resources in a sustainable non-structural manner by developing and implementing advanced water management technology.