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Last modified
7/29/2009 10:11:10 AM
Creation date
10/9/2006 4:38:10 AM
Metadata
Fields
Template:
Water Supply Protection
File Number
8283.200
Description
Colorado River Basin-Colorado River Computer Models-Colorado River Decision Support System-RAY
State
CO
Water Division
5
Date
12/29/1993
Title
Hydrosphere-Colorado River Model-Technical Overview
Water Supply Pro - Doc Type
Report/Study
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<br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />il <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I I <br /> <br />002098 <br /> <br />Hydrosphere's Colorado River Model <br /> <br />December 29, 1993 <br />Page 5 <br /> <br />MODEL STRUCTURE <br /> <br />Simulation of the Colorado River system is achieved using a network flow programming <br />model. The model, like MODSIM (Shafer, 1979; Labadie et al., 1983) and its predecessor <br />SIMYLD (Texas Water Development Board, 1972), uses the out-of-kilter algorithm (Clasen, <br />1968; Barr et al., 1974) to perform, at each time-step, a static optimization that simulates water <br />allocation for a given system of priorities in a river basin network. The model is similar iri <br />structure to the model used by Brown et al (1988, 1990) in a study of the disposition of <br />streamflow increases from the Arapaho National Forest. The model performs three basic <br />tasks: (I) management of input and output data and run-control information, (2) conversion of <br />a problem stated in hydrological terms to one amenable to solution by the out-of-kilter <br />algorithm, and (3) solution of the network. <br /> <br />The network is a system of arcs and nodes. Each arc has an upper and lower bound <br />constraining the amount of water it can accommodate, and a "cost" associated with moving one <br />unit of flow along it. An arc may represent a river segment, reservoir storage, a hydropower <br />turbine, a consumptive use demand, or a system outflow (e.g" to the Gulf of California). <br />Costs are used to represent priorities, Mass balance is enforced by the algorithm by <br />constraining the sum of all inflows to each node to the sum of all outflows. There are no <br />feasible solutions of the network that violate mass balance, <br /> <br />At each time step, the algorithm finds the allocation of flows that minimizes the total <br />system cost or maximizes total system benefit, i. e. highest priority uses are served first. The <br />network diagram of Hydrosphere's Colorado River Model showing the construction of the arcs <br />and nodes is shown in Figure 2, <br /> <br />The optimization capability of Hydrosphere's Colorado River Model is used for.the <br />efficient simulation of the operation of the Colorado River system. Where system operating <br />policies can be represented by arc constraints and costs, they can be easily adjusted by <br />changing the parameters corresponding to them, hence the model is very flexible for examining <br />different institutional settings. In order to simulate the current institutional rules for water <br />allocation, the costs of the arcs are set to represent the relative priorities that currently exist <br />among diversions. Once a solution is found for a given time step, the reservoir contents <br />resulting from that solution are used as the beginning contents for the next month's simulation. <br /> <br />Many of the operations required by the Law of the River cannot be represented by arc <br />costs and constraints alone. For example, Lake Mead flood control operations, surplus <br />strategy operations, Powell-Mead equalization releases and other operations are in a class of <br />operations that are functions of system state variables, Thus a considerable amount of <br />computer code is devoted to implementing the Law of the River. This code is executed each <br />time step, adjusting arc constraints to reflect specific system operations. <br /> <br />Water movement and disposition in the Colorado River Basin is modeled by aggregating <br />inflows and outflows over time and space at the level of detail used in CRSM (Schuster, 1987). <br />Thus, a monthly time step was used; 14 basin reservoirs were included; inflows and flow <br />gains/losses were modeled at 29 points; 265 individual consumptive use points were <br />recognized; and more than 107 river reaches were modeled. This level of resolution gives the <br /> <br />Hydrosphere Resource Consultants 1002 Walnut Suite 200 Boulder. Colorado 80302 <br />
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