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Show TABLE 5.2 Nonlinear Constraint and Decision Variable Dependence for Multi- reservoir Model Decision Function Variable CQ1,,..., CS D01 D02 DOS M0101 M0102 M0201 MOSOM IR0101 XR0102 IR0201 IROSOI HOI H02 HOS X0205 F01 F02 FOS xxxx X XXX XX X xxxx xxxx X XXX XX X xxxx xxxx XX X XXXX X XXX XX X xxxx X XXXX X XXX XX X OB. T X X X X X X X X X X X X X X X X X X X x X X TM01.... TM02TI01... TI0I Notes 1. x denotes a nonlinear entry 2. variables are in order from reservoir 1 to S, M& I demand 1 to M, Irrigation demand 1 to I 3. COL. COS represents each of the nonlinear constraints ( 1) through ( 4) for each reservoir Pre- Specifving Yield Reliabilities: Historical or synthetic flow data is used for model applications. Standard procedures ( Loucks et al, 1981) exist for identifying the critical period in a streamflow record for a single reservoir. For a multi- reservoir system, or where a number of stream gaging locations are considered, a common critical period may not be very well defined, unless the streamflow data is highly correlated ( i. e. for a hydrologically homogeneous area). The critical period definition is also influenced by the level of yield or demand considered. It is assumed at this stage that a joint critical period for a set of sites can be established approximately ( in the limiting case) as the period given by the maximum temporal overlap of the individual critical periods. In situations where a joint critical period is easily identifiable across the sites of interest, the specification of model year by year reliabilities to correspond to contractual obligations is simplified. Monthly operation of the 121 |