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Last modified
7/28/2009 2:40:35 PM
Creation date
4/24/2008 2:52:55 PM
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Weather Modification
Title
The Feasibility of Enhancing Streamflow in the Silver Iodide in the Sevier River Basin of Utah bt Seeding Winter Mountain Clouds
Date
12/1/1991
Weather Modification - Doc Type
Report
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<br />5. SELECTION OF AN EXPERIMENTAL AREA IN THE SEVIER RIVER BASIN <br /> <br />The first requirement for an experimental area is that the region be at high elevation and provide <br />significant uplift to the prevailing westerly flow during stonns. Mountain ranges provide the additional <br />production of SL W that results in snowpack accumulation throughout the winter. <br /> <br />Most mountains exist in the eastern portion of the basin as seen on figure 5-1 which is a landfonn map <br />taken from Ralls et al. (1991). Going from south to north the major barriers include the Paunsaugunt and <br />Markagunt Plateaus, the north end of the Escalante Mountains, the Aquarius and Sevier Plateaus, the <br />Tushar Mountains, the Pavant Range, the San Pitch and Canyon Mountains and the Wasatch Plateau. <br /> <br />5.1 Transferability of Experimental Results <br /> <br />The Sevier Drainage is small enough that the results of experiments on any suitable mountain barrier <br />should be readily transferable to all other barriers in the basin. Thus, the main factors in selecting the <br />most suitable experimental area are minimization of logistic difficulties, especially related to aircraft <br />sampling and high altitude surrace measurements, and maximization of stonn events for study. The fact <br />that most of the mountain barriers fonh the divide between the Sevier and other drainage basins is not a <br />concern. The primary purpose of the proposed cloud seeding experiments is to develop and validate the <br />technology, not to produce additional water in the Sevier Basin. Once an acceptable technology has been <br />documented, it can be applied throughout tIle basin to increase water supplies. Of course, successful <br />seeding of the mountains that fonn the divide with other basins would result in additional snowfall in the <br />adjoining basins because targeting cannot be confined to just one side of a mountain range. But with the <br />semiarid nature of the entire region additional water likely would be welcomed in neighboring drainages. <br /> <br />5.2 Snowpack and Water Yields Across the Sevier Basin <br /> <br />The average annual water yield from runoff in the Sevier Basin is shown on figure 5-2 taken from Ralls <br />et al. (1991) who in turn extracted it from the Hydrologic Atlas of Utah published in 1968. This figure <br />gives an overall portrayal of the high runoff production zones which are essentially the high elevation <br />zones. Since annual runoff is strongly related to the seasonal snowpack, with snowpack water equivalent <br />data routinely used to forecast streamflow, figure 5-2 indicates the high snowpack areas. The highest <br />runoff (and snowpack) regions are in the southwest comer of the eastern portion of the drainage, just <br />northwest of Navajo Lake (the Cedar Breaks National Monument vicinity), and along the northeastern rim <br />of the basin, on the Wasatch Plateau. Average annual yields of 20 in are indicated in both areas. The <br />Tushar Mountains are close behind with a region producing 18 in of runoff. All other mountain areas <br />produce considerably less runoff with 12-in maximums. <br /> <br />The strong relationship between runoff yield and elevation can be seen indirectly in figure 5-3 which is <br />a logarithmic plot from all streamflow gauge data in the Sevier Basin published by Ralls et aI. (1991). <br />The yield per area is much greater for those gauges that monitor small drainage areas; that is, the <br />unregulated high elevation headwater regions. Yield per area decreases rapidly as measurements are taken <br />further downstream and more lower elevation terrain with regulated flows is included. A power function <br />of the fonn RUNOFF YIELD = 2055 X (DRAINAGE AREA)-O.47 provided a good fit to the data of <br />figure 5-3, resulting in a correlation coefficient of 0.93. <br /> <br />41 <br />
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