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WSPC06721
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Last modified
1/26/2010 12:07:28 PM
Creation date
10/9/2006 6:03:16 AM
Metadata
Fields
Template:
Water Supply Protection
File Number
8283.200
Description
Colorado River Basin-Colorado River Computer Models-Colorado River Decision Support System
State
CO
Basin
Colorado Mainstem
Water Division
5
Date
1/1/3000
Author
John W Labadie
Title
MODSIM Model-Generalized River Basin Network Simulation Model-Program Modsim
Water Supply Pro - Doc Type
Report/Study
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<br />,. <br /> <br />ATIRIBUTES OF MODSIM <br /> <br />The most important attributes of MODSIM are as follows: <br /> <br />1. Performs a network flow simulation of the water storage <br />and flow morphology of complex water supply systems. Network <br />representation of a complex water supply system by nodes and <br />links provides attractive way of visually displaying system <br />structure and topology. <br /> <br />2. Includes an efficient optimizing capability using a network <br />flow algorithm based on Lagrangian Relaxation (Bertsekas and <br />Tseng, 1988). Lagrangian Relaxation is a primal-dual linear <br />programming algorithm specifically designed for efficient solution <br />of minimum cost network flow problems. <br /> <br />3. In applying minimum cost network flow algorithms to <br />water supply systems, the "costs" can be economically related, or <br />based on water right priorities, or other weighting factors serving <br />to prioritize water allocation. Most other available general <br />purpose river basin models are incapable predicting priority <br />based allocation, such as HEC 5 (Hydrologic Engineering <br />Center, 1988) and SSARR (U.S. Army Corps of Engineers, <br />1987). MODSIM effectively blends simulation and optimization <br />together in such a way as to accentuate the advantages of each <br />and guarantee that operating targets, priorities and constraints <br />are satisfied in a computationaIly efficient manner, rather than <br />by trial and error. <br /> <br />4. The model can be used for both short term (i.e., daily) or <br />long term (i.e., seasonal or multiyear) operational guidelines. <br />The network optimization to meet operational goals is actually <br />performed in a sequential fashion over each period, rather than <br />in a fully dynamic sense. <br /> <br />4 <br />
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