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<br /><:) <br />~ <br />w <br />m <br /> <br />-12- <br /> <br />,I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />and Power Resources Service (WPRS) projects including <br />minimal on-farm programs in the Grand Valley and Uncompahgre <br />Valley. Consequently, the majority of the projects were <br />composed of only canal and lateral linings. Desalination <br />~7as not considered. Much of data used for the Grand Valley <br />and Uncompahgre Valley in Colorado was from a study by <br />Westesen (1975). <br />Flug et al. (1977) developed a multi-level minimum cost <br />linear programming model to evaluate impacts on the salinity <br />and quantity of flow in the Upper Colorado River Basin by <br />potential energy development. The results of this model <br />indicated that water availability would be the largest <br />constraint to energy development in the Upper Basin. <br />Development policies which utilized high salinity waters <br />could actually result in a net decrease in salinity at Lee's <br />Ferry, Arizona. <br />Narayanan et al. (1979) developed a uni-level linear <br />program model of the economic effect of water allocation <br />changes and salinity resulting from energy development in <br />the upper Colorado River Basin. Changes in salinity were <br />predicted by a mass balance approach; and least-cost struc- <br />tural and nonstructural strategies to maintain desired <br />salinity levels were formulated. The "economic" optimal <br />salinity control concentration levels at Lee's Ferry were <br />identified under the objective function of maximizing joint <br />net returns of agriculture and energy outputs. This approach <br />solely utilized data from projects of the WPRS portions of <br />